• Resident Evil Requiem Was Almost A Different Game Entirely, Until Capcom Realized "Fans Didn't Want It"

    Earlier this week, Capcom shared a new preview for Resident Evil Requiem, the ninth game in the long-running franchise. According to Capcom, Requiem is already on 1 million wish lists across PSN and Steam. But would the number have been that high if Capcom went through with its original plans to make Requiem an online game?Resident Evil Requiem director Koshi Nakanishi shared an online developer diary on Capcom's official siteand revealed that the game was originally developed as an online title. Nakanishi added that the team came up with "interesting concepts" for the game, but ultimately abandoned their online plans when the team realized that RE fans didn't want it. Instead, Requiem was re-envisioned as a single-player game like its eight predecessors.Considering the origins of Requiem as an online title, that may explain why it features Grace Ashcroft, the daughter of Alyssa Ashcroft from the franchise's first multiplayer game, Resident Evil Outbreak. The story is also picking up the narrative threads from the first three RE games by returning to Raccoon City 30 years after it was bombed to end the zombie infestation. Continue Reading at GameSpot
    #resident #evil #requiem #was #almost
    Resident Evil Requiem Was Almost A Different Game Entirely, Until Capcom Realized "Fans Didn't Want It"
    Earlier this week, Capcom shared a new preview for Resident Evil Requiem, the ninth game in the long-running franchise. According to Capcom, Requiem is already on 1 million wish lists across PSN and Steam. But would the number have been that high if Capcom went through with its original plans to make Requiem an online game?Resident Evil Requiem director Koshi Nakanishi shared an online developer diary on Capcom's official siteand revealed that the game was originally developed as an online title. Nakanishi added that the team came up with "interesting concepts" for the game, but ultimately abandoned their online plans when the team realized that RE fans didn't want it. Instead, Requiem was re-envisioned as a single-player game like its eight predecessors.Considering the origins of Requiem as an online title, that may explain why it features Grace Ashcroft, the daughter of Alyssa Ashcroft from the franchise's first multiplayer game, Resident Evil Outbreak. The story is also picking up the narrative threads from the first three RE games by returning to Raccoon City 30 years after it was bombed to end the zombie infestation. Continue Reading at GameSpot #resident #evil #requiem #was #almost
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    Resident Evil Requiem Was Almost A Different Game Entirely, Until Capcom Realized "Fans Didn't Want It"
    Earlier this week, Capcom shared a new preview for Resident Evil Requiem, the ninth game in the long-running franchise. According to Capcom, Requiem is already on 1 million wish lists across PSN and Steam. But would the number have been that high if Capcom went through with its original plans to make Requiem an online game?Resident Evil Requiem director Koshi Nakanishi shared an online developer diary on Capcom's official site (via VGC) and revealed that the game was originally developed as an online title. Nakanishi added that the team came up with "interesting concepts" for the game, but ultimately abandoned their online plans when the team realized that RE fans didn't want it. Instead, Requiem was re-envisioned as a single-player game like its eight predecessors.Considering the origins of Requiem as an online title, that may explain why it features Grace Ashcroft, the daughter of Alyssa Ashcroft from the franchise's first multiplayer game, Resident Evil Outbreak. The story is also picking up the narrative threads from the first three RE games by returning to Raccoon City 30 years after it was bombed to end the zombie infestation. Continue Reading at GameSpot
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  • 50% Off Criterion Collection At Amazon: Wall-E, Godzilla, David Lynch, del Toro, Kurosawa, And More

    The Criterion Collection 50% Off Sale Godzilla, David Lynch, Guillermo del Toro, Kurosawa, and more See Blu-ray collectors don't need to wait for Prime Day 2025 to score great deals, as the annual Criterion Collection Summer Sale just kicked off. Hundreds of 4K Blu-rays, 1080p Blu-rays, and box sets are 50% off and Barnes & Noble through July 27. But while you technically have a whole month to shop the deals, many of the most popular Criterion releases tend to sell out long before the official end date during these half-off promotions--especially .Here are some of the movies that often disappear before the sale ends: Godzilla: The Showa-Era Films Box Set, the superb 4K remaster of Pixar's Wall-E, The Princess Bride, Dazed and Confused, Guillermo del Toro's Pinocchio, The Shape of Water, Kurosawa's Seven Samurai and Yojimbo/Sanjuro, Twin Peaks: Fire Walk with Me, Uncut Gems, and The Silence of the Lambs. Godzilla: The Showa-Era 15-Film Box SetSee We put together a giant alphabetized list of Criterion Collection movie deals that you can check out below. We also created sections for some of the notable franchises, directors, and actors featured in The Criterion Collection. So if you're looking for every 50% off deal related to Godzilla, Guillermo del Toro, David Lynch, Akira Kurosawa, the Coen brothers, Martin Scorsese, and Akira Kurosawa, we have breakdowns for all of them.Continue Reading at GameSpot
    #off #criterion #collection #amazon #walle
    50% Off Criterion Collection At Amazon: Wall-E, Godzilla, David Lynch, del Toro, Kurosawa, And More
    The Criterion Collection 50% Off Sale Godzilla, David Lynch, Guillermo del Toro, Kurosawa, and more See Blu-ray collectors don't need to wait for Prime Day 2025 to score great deals, as the annual Criterion Collection Summer Sale just kicked off. Hundreds of 4K Blu-rays, 1080p Blu-rays, and box sets are 50% off and Barnes & Noble through July 27. But while you technically have a whole month to shop the deals, many of the most popular Criterion releases tend to sell out long before the official end date during these half-off promotions--especially .Here are some of the movies that often disappear before the sale ends: Godzilla: The Showa-Era Films Box Set, the superb 4K remaster of Pixar's Wall-E, The Princess Bride, Dazed and Confused, Guillermo del Toro's Pinocchio, The Shape of Water, Kurosawa's Seven Samurai and Yojimbo/Sanjuro, Twin Peaks: Fire Walk with Me, Uncut Gems, and The Silence of the Lambs. Godzilla: The Showa-Era 15-Film Box SetSee We put together a giant alphabetized list of Criterion Collection movie deals that you can check out below. We also created sections for some of the notable franchises, directors, and actors featured in The Criterion Collection. So if you're looking for every 50% off deal related to Godzilla, Guillermo del Toro, David Lynch, Akira Kurosawa, the Coen brothers, Martin Scorsese, and Akira Kurosawa, we have breakdowns for all of them.Continue Reading at GameSpot #off #criterion #collection #amazon #walle
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    50% Off Criterion Collection At Amazon: Wall-E, Godzilla, David Lynch, del Toro, Kurosawa, And More
    The Criterion Collection 50% Off Sale Godzilla, David Lynch, Guillermo del Toro, Kurosawa, and more See at Amazon Blu-ray collectors don't need to wait for Prime Day 2025 to score great deals, as the annual Criterion Collection Summer Sale just kicked off. Hundreds of 4K Blu-rays, 1080p Blu-rays, and box sets are 50% off at Amazon and Barnes & Noble through July 27. But while you technically have a whole month to shop the deals, many of the most popular Criterion releases tend to sell out long before the official end date during these half-off promotions--especially at Amazon.Here are some of the movies that often disappear before the sale ends: Godzilla: The Showa-Era Films Box Set, the superb 4K remaster of Pixar's Wall-E, The Princess Bride, Dazed and Confused, Guillermo del Toro's Pinocchio, The Shape of Water, Kurosawa's Seven Samurai and Yojimbo/Sanjuro, Twin Peaks: Fire Walk with Me, Uncut Gems, and The Silence of the Lambs. Godzilla: The Showa-Era 15-Film Box Set (Criterion Collection) $112.48 (was $225) See at Amazon We put together a giant alphabetized list of Criterion Collection movie deals that you can check out below. We also created sections for some of the notable franchises, directors, and actors featured in The Criterion Collection. So if you're looking for every 50% off deal related to Godzilla, Guillermo del Toro, David Lynch, Akira Kurosawa, the Coen brothers, Martin Scorsese, and Akira Kurosawa, we have breakdowns for all of them.Continue Reading at GameSpot
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  • Biggest And Best Cuphead Plush Drops To Lowest Price Yet

    Club Mocchi-Mocchi Plushie Deals Zelda, Mario, Kirby, Sonic, and more See We’re inching closer to Prime Day, but you don’t have to wait until July 8 to save a few bucks on some of the best video game-inspired plushies around. Tomy's Club Mocchi-Mocchi collection is filled with ultra-soft, officially licensed plushies themed around Super Mario, The Legend of Zelda, Kirby, Animal Crossing, and more popular franchises.While many of the standouts hail from classic Nintendo franchises, one of our favorites is the 15-inch Cuphead plush. Fans can get this very cute Cuphead plush for. This is the lowest price ever for Club Mocchi-Mocchi's Cuphead plush, which is large and chunky enough to be used as a pillow. Cuphead 15-Inch Plush by Club Mocchi-MocchiCuphead displays a wide range of facial expressions in StudioMDHR's brilliant boss rush action game--and in Netflix's TV adaptation--but Club Mocchi-Mocchi opted for happiness with its officially licensed 15-inch plush. The result is an adorable recreation of the beloved character.Since Cuphead's cup head has a handle on the back, you could attach it to your backpack to have the world's largest keychain plush. In all seriousness, it's worth noting that this plush topples over if you try to display it without a support behind it. And yes, it's because Cuphead has an enormous head.Cuphead isn't the only large Club Mocchi-Mocchi plush available for a discount. Check out deals on Nintendo and Sega designs below. See Club Mocchi-Mocchi 15-inch gaming plushiesClub Mocchi Mocchi Plush DealsOther great deals on 15-inch plushies include Super Mario's Goomba for Mario Kart's Blue Shell for and Zelda's Octorok for The list below also includes a few deals from Best Buy, Walmart, and Target. You can get a 15-inch Yoshi Egg plush at Best Buy for and 6-inch Animal Crossing plushies for at Walmart. Target has a 13-inch Dr. Eggman plush for only You can pair Sega's iconic villain with a 15-inch Sonic plush for Continue Reading at GameSpot
    #biggest #best #cuphead #plush #drops
    Biggest And Best Cuphead Plush Drops To Lowest Price Yet
    Club Mocchi-Mocchi Plushie Deals Zelda, Mario, Kirby, Sonic, and more See We’re inching closer to Prime Day, but you don’t have to wait until July 8 to save a few bucks on some of the best video game-inspired plushies around. Tomy's Club Mocchi-Mocchi collection is filled with ultra-soft, officially licensed plushies themed around Super Mario, The Legend of Zelda, Kirby, Animal Crossing, and more popular franchises.While many of the standouts hail from classic Nintendo franchises, one of our favorites is the 15-inch Cuphead plush. Fans can get this very cute Cuphead plush for. This is the lowest price ever for Club Mocchi-Mocchi's Cuphead plush, which is large and chunky enough to be used as a pillow. Cuphead 15-Inch Plush by Club Mocchi-MocchiCuphead displays a wide range of facial expressions in StudioMDHR's brilliant boss rush action game--and in Netflix's TV adaptation--but Club Mocchi-Mocchi opted for happiness with its officially licensed 15-inch plush. The result is an adorable recreation of the beloved character.Since Cuphead's cup head has a handle on the back, you could attach it to your backpack to have the world's largest keychain plush. In all seriousness, it's worth noting that this plush topples over if you try to display it without a support behind it. And yes, it's because Cuphead has an enormous head.Cuphead isn't the only large Club Mocchi-Mocchi plush available for a discount. Check out deals on Nintendo and Sega designs below. See Club Mocchi-Mocchi 15-inch gaming plushiesClub Mocchi Mocchi Plush DealsOther great deals on 15-inch plushies include Super Mario's Goomba for Mario Kart's Blue Shell for and Zelda's Octorok for The list below also includes a few deals from Best Buy, Walmart, and Target. You can get a 15-inch Yoshi Egg plush at Best Buy for and 6-inch Animal Crossing plushies for at Walmart. Target has a 13-inch Dr. Eggman plush for only You can pair Sega's iconic villain with a 15-inch Sonic plush for Continue Reading at GameSpot #biggest #best #cuphead #plush #drops
    WWW.GAMESPOT.COM
    Biggest And Best Cuphead Plush Drops To Lowest Price Yet
    Club Mocchi-Mocchi Plushie Deals at Amazon Zelda, Mario, Kirby, Sonic, and more See at Amazon We’re inching closer to Prime Day, but you don’t have to wait until July 8 to save a few bucks on some of the best video game-inspired plushies around. Tomy's Club Mocchi-Mocchi collection is filled with ultra-soft, officially licensed plushies themed around Super Mario, The Legend of Zelda, Kirby, Animal Crossing, and more popular franchises.While many of the standouts hail from classic Nintendo franchises, one of our favorites is the 15-inch Cuphead plush. Fans can get this very cute Cuphead plush for $27 (was $35) at Amazon. This is the lowest price ever for Club Mocchi-Mocchi's Cuphead plush, which is large and chunky enough to be used as a pillow. Cuphead 15-Inch Plush by Club Mocchi-Mocchi $27 (was $35) Cuphead displays a wide range of facial expressions in StudioMDHR's brilliant boss rush action game--and in Netflix's TV adaptation--but Club Mocchi-Mocchi opted for happiness with its officially licensed 15-inch plush. The result is an adorable recreation of the beloved character.Since Cuphead's cup head has a handle on the back, you could attach it to your backpack to have the world's largest keychain plush. In all seriousness, it's worth noting that this plush topples over if you try to display it without a support behind it. And yes, it's because Cuphead has an enormous head.Cuphead isn't the only large Club Mocchi-Mocchi plush available for a discount. Check out deals on Nintendo and Sega designs below. See at Amazon Club Mocchi-Mocchi 15-inch gaming plushiesClub Mocchi Mocchi Plush DealsOther great deals on 15-inch plushies at Amazon include Super Mario's Goomba for $24.49, Mario Kart's Blue Shell for $22.50, and Zelda's Octorok for $23. The list below also includes a few deals from Best Buy, Walmart, and Target. You can get a 15-inch Yoshi Egg plush at Best Buy for $21 and 6-inch Animal Crossing plushies for $10 at Walmart. Target has a 13-inch Dr. Eggman plush for only $20. You can pair Sega's iconic villain with a 15-inch Sonic plush for $25.Continue Reading at GameSpot
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  • NVIDIA Scores Consecutive Win for End-to-End Autonomous Driving Grand Challenge at CVPR

    NVIDIA was today named an Autonomous Grand Challenge winner at the Computer Vision and Pattern Recognitionconference, held this week in Nashville, Tennessee. The announcement was made at the Embodied Intelligence for Autonomous Systems on the Horizon Workshop.
    This marks the second consecutive year that NVIDIA’s topped the leaderboard in the End-to-End Driving at Scale category and the third year in a row winning an Autonomous Grand Challenge award at CVPR.
    The theme of this year’s challenge was “Towards Generalizable Embodied Systems” — based on NAVSIM v2, a data-driven, nonreactive autonomous vehiclesimulation framework.
    The challenge offered researchers the opportunity to explore ways to handle unexpected situations, beyond using only real-world human driving data, to accelerate the development of smarter, safer AVs.
    Generating Safe and Adaptive Driving Trajectories
    Participants of the challenge were tasked with generating driving trajectories from multi-sensor data in a semi-reactive simulation, where the ego vehicle’s plan is fixed at the start, but background traffic changes dynamically.
    Submissions were evaluated using the Extended Predictive Driver Model Score, which measures safety, comfort, compliance and generalization across real-world and synthetic scenarios — pushing the boundaries of robust and generalizable autonomous driving research.
    The NVIDIA AV Applied Research Team’s key innovation was the Generalized Trajectory Scoringmethod, which generates a variety of trajectories and progressively filters out the best one.
    GTRS model architecture showing a unified system for generating and scoring diverse driving trajectories using diffusion- and vocabulary-based trajectories.
    GTRS introduces a combination of coarse sets of trajectories covering a wide range of situations and fine-grained trajectories for safety-critical situations, created using a diffusion policy conditioned on the environment. GTRS then uses a transformer decoder distilled from perception-dependent metrics, focusing on safety, comfort and traffic rule compliance. This decoder progressively filters out the most promising trajectory candidates by capturing subtle but critical differences between similar trajectories.
    This system has proved to generalize well to a wide range of scenarios, achieving state-of-the-art results on challenging benchmarks and enabling robust, adaptive trajectory selection in diverse and challenging driving conditions.

    NVIDIA Automotive Research at CVPR 
    More than 60 NVIDIA papers were accepted for CVPR 2025, spanning automotive, healthcare, robotics and more.
    In automotive, NVIDIA researchers are advancing physical AI with innovation in perception, planning and data generation. This year, three NVIDIA papers were nominated for the Best Paper Award: FoundationStereo, Zero-Shot Monocular Scene Flow and Difix3D+.
    The NVIDIA papers listed below showcase breakthroughs in stereo depth estimation, monocular motion understanding, 3D reconstruction, closed-loop planning, vision-language modeling and generative simulation — all critical to building safer, more generalizable AVs:

    Diffusion Renderer: Neural Inverse and Forward Rendering With Video Diffusion ModelsFoundationStereo: Zero-Shot Stereo MatchingZero-Shot Monocular Scene Flow Estimation in the WildDifix3D+: Improving 3D Reconstructions With Single-Step Diffusion Models3DGUT: Enabling Distorted Cameras and Secondary Rays in Gaussian Splatting
    Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models
    Zero-Shot 4D Lidar Panoptic Segmentation
    NVILA: Efficient Frontier Visual Language Models
    RADIO Amplified: Improved Baselines for Agglomerative Vision Foundation Models
    OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving With Counterfactual Reasoning

    Explore automotive workshops and tutorials at CVPR, including:

    Workshop on Data-Driven Autonomous Driving Simulation, featuring Marco Pavone, senior director of AV research at NVIDIA, and Sanja Fidler, vice president of AI research at NVIDIA
    Workshop on Autonomous Driving, featuring Laura Leal-Taixe, senior research manager at NVIDIA
    Workshop on Open-World 3D Scene Understanding with Foundation Models, featuring Leal-Taixe
    Safe Artificial Intelligence for All Domains, featuring Jose Alvarez, director of AV applied research at NVIDIA
    Workshop on Foundation Models for V2X-Based Cooperative Autonomous Driving, featuring Pavone and Leal-Taixe
    Workshop on Multi-Agent Embodied Intelligent Systems Meet Generative AI Era, featuring Pavone
    LatinX in CV Workshop, featuring Leal-Taixe
    Workshop on Exploring the Next Generation of Data, featuring Alvarez
    Full-Stack, GPU-Based Acceleration of Deep Learning and Foundation Models, led by NVIDIA
    Continuous Data Cycle via Foundation Models, led by NVIDIA
    Distillation of Foundation Models for Autonomous Driving, led by NVIDIA

    Explore the NVIDIA research papers to be presented at CVPR and watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang.
    Learn more about NVIDIA Research, a global team of hundreds of scientists and engineers focused on topics including AI, computer graphics, computer vision, self-driving cars and robotics.
    The featured image above shows how an autonomous vehicle adapts its trajectory to navigate an urban environment with dynamic traffic using the GTRS model.
    #nvidia #scores #consecutive #win #endtoend
    NVIDIA Scores Consecutive Win for End-to-End Autonomous Driving Grand Challenge at CVPR
    NVIDIA was today named an Autonomous Grand Challenge winner at the Computer Vision and Pattern Recognitionconference, held this week in Nashville, Tennessee. The announcement was made at the Embodied Intelligence for Autonomous Systems on the Horizon Workshop. This marks the second consecutive year that NVIDIA’s topped the leaderboard in the End-to-End Driving at Scale category and the third year in a row winning an Autonomous Grand Challenge award at CVPR. The theme of this year’s challenge was “Towards Generalizable Embodied Systems” — based on NAVSIM v2, a data-driven, nonreactive autonomous vehiclesimulation framework. The challenge offered researchers the opportunity to explore ways to handle unexpected situations, beyond using only real-world human driving data, to accelerate the development of smarter, safer AVs. Generating Safe and Adaptive Driving Trajectories Participants of the challenge were tasked with generating driving trajectories from multi-sensor data in a semi-reactive simulation, where the ego vehicle’s plan is fixed at the start, but background traffic changes dynamically. Submissions were evaluated using the Extended Predictive Driver Model Score, which measures safety, comfort, compliance and generalization across real-world and synthetic scenarios — pushing the boundaries of robust and generalizable autonomous driving research. The NVIDIA AV Applied Research Team’s key innovation was the Generalized Trajectory Scoringmethod, which generates a variety of trajectories and progressively filters out the best one. GTRS model architecture showing a unified system for generating and scoring diverse driving trajectories using diffusion- and vocabulary-based trajectories. GTRS introduces a combination of coarse sets of trajectories covering a wide range of situations and fine-grained trajectories for safety-critical situations, created using a diffusion policy conditioned on the environment. GTRS then uses a transformer decoder distilled from perception-dependent metrics, focusing on safety, comfort and traffic rule compliance. This decoder progressively filters out the most promising trajectory candidates by capturing subtle but critical differences between similar trajectories. This system has proved to generalize well to a wide range of scenarios, achieving state-of-the-art results on challenging benchmarks and enabling robust, adaptive trajectory selection in diverse and challenging driving conditions. NVIDIA Automotive Research at CVPR  More than 60 NVIDIA papers were accepted for CVPR 2025, spanning automotive, healthcare, robotics and more. In automotive, NVIDIA researchers are advancing physical AI with innovation in perception, planning and data generation. This year, three NVIDIA papers were nominated for the Best Paper Award: FoundationStereo, Zero-Shot Monocular Scene Flow and Difix3D+. The NVIDIA papers listed below showcase breakthroughs in stereo depth estimation, monocular motion understanding, 3D reconstruction, closed-loop planning, vision-language modeling and generative simulation — all critical to building safer, more generalizable AVs: Diffusion Renderer: Neural Inverse and Forward Rendering With Video Diffusion ModelsFoundationStereo: Zero-Shot Stereo MatchingZero-Shot Monocular Scene Flow Estimation in the WildDifix3D+: Improving 3D Reconstructions With Single-Step Diffusion Models3DGUT: Enabling Distorted Cameras and Secondary Rays in Gaussian Splatting Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models Zero-Shot 4D Lidar Panoptic Segmentation NVILA: Efficient Frontier Visual Language Models RADIO Amplified: Improved Baselines for Agglomerative Vision Foundation Models OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving With Counterfactual Reasoning Explore automotive workshops and tutorials at CVPR, including: Workshop on Data-Driven Autonomous Driving Simulation, featuring Marco Pavone, senior director of AV research at NVIDIA, and Sanja Fidler, vice president of AI research at NVIDIA Workshop on Autonomous Driving, featuring Laura Leal-Taixe, senior research manager at NVIDIA Workshop on Open-World 3D Scene Understanding with Foundation Models, featuring Leal-Taixe Safe Artificial Intelligence for All Domains, featuring Jose Alvarez, director of AV applied research at NVIDIA Workshop on Foundation Models for V2X-Based Cooperative Autonomous Driving, featuring Pavone and Leal-Taixe Workshop on Multi-Agent Embodied Intelligent Systems Meet Generative AI Era, featuring Pavone LatinX in CV Workshop, featuring Leal-Taixe Workshop on Exploring the Next Generation of Data, featuring Alvarez Full-Stack, GPU-Based Acceleration of Deep Learning and Foundation Models, led by NVIDIA Continuous Data Cycle via Foundation Models, led by NVIDIA Distillation of Foundation Models for Autonomous Driving, led by NVIDIA Explore the NVIDIA research papers to be presented at CVPR and watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang. Learn more about NVIDIA Research, a global team of hundreds of scientists and engineers focused on topics including AI, computer graphics, computer vision, self-driving cars and robotics. The featured image above shows how an autonomous vehicle adapts its trajectory to navigate an urban environment with dynamic traffic using the GTRS model. #nvidia #scores #consecutive #win #endtoend
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    NVIDIA Scores Consecutive Win for End-to-End Autonomous Driving Grand Challenge at CVPR
    NVIDIA was today named an Autonomous Grand Challenge winner at the Computer Vision and Pattern Recognition (CVPR) conference, held this week in Nashville, Tennessee. The announcement was made at the Embodied Intelligence for Autonomous Systems on the Horizon Workshop. This marks the second consecutive year that NVIDIA’s topped the leaderboard in the End-to-End Driving at Scale category and the third year in a row winning an Autonomous Grand Challenge award at CVPR. The theme of this year’s challenge was “Towards Generalizable Embodied Systems” — based on NAVSIM v2, a data-driven, nonreactive autonomous vehicle (AV) simulation framework. The challenge offered researchers the opportunity to explore ways to handle unexpected situations, beyond using only real-world human driving data, to accelerate the development of smarter, safer AVs. Generating Safe and Adaptive Driving Trajectories Participants of the challenge were tasked with generating driving trajectories from multi-sensor data in a semi-reactive simulation, where the ego vehicle’s plan is fixed at the start, but background traffic changes dynamically. Submissions were evaluated using the Extended Predictive Driver Model Score, which measures safety, comfort, compliance and generalization across real-world and synthetic scenarios — pushing the boundaries of robust and generalizable autonomous driving research. The NVIDIA AV Applied Research Team’s key innovation was the Generalized Trajectory Scoring (GTRS) method, which generates a variety of trajectories and progressively filters out the best one. GTRS model architecture showing a unified system for generating and scoring diverse driving trajectories using diffusion- and vocabulary-based trajectories. GTRS introduces a combination of coarse sets of trajectories covering a wide range of situations and fine-grained trajectories for safety-critical situations, created using a diffusion policy conditioned on the environment. GTRS then uses a transformer decoder distilled from perception-dependent metrics, focusing on safety, comfort and traffic rule compliance. This decoder progressively filters out the most promising trajectory candidates by capturing subtle but critical differences between similar trajectories. This system has proved to generalize well to a wide range of scenarios, achieving state-of-the-art results on challenging benchmarks and enabling robust, adaptive trajectory selection in diverse and challenging driving conditions. NVIDIA Automotive Research at CVPR  More than 60 NVIDIA papers were accepted for CVPR 2025, spanning automotive, healthcare, robotics and more. In automotive, NVIDIA researchers are advancing physical AI with innovation in perception, planning and data generation. This year, three NVIDIA papers were nominated for the Best Paper Award: FoundationStereo, Zero-Shot Monocular Scene Flow and Difix3D+. The NVIDIA papers listed below showcase breakthroughs in stereo depth estimation, monocular motion understanding, 3D reconstruction, closed-loop planning, vision-language modeling and generative simulation — all critical to building safer, more generalizable AVs: Diffusion Renderer: Neural Inverse and Forward Rendering With Video Diffusion Models (Read more in this blog.) FoundationStereo: Zero-Shot Stereo Matching (Best Paper nominee) Zero-Shot Monocular Scene Flow Estimation in the Wild (Best Paper nominee) Difix3D+: Improving 3D Reconstructions With Single-Step Diffusion Models (Best Paper nominee) 3DGUT: Enabling Distorted Cameras and Secondary Rays in Gaussian Splatting Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models Zero-Shot 4D Lidar Panoptic Segmentation NVILA: Efficient Frontier Visual Language Models RADIO Amplified: Improved Baselines for Agglomerative Vision Foundation Models OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving With Counterfactual Reasoning Explore automotive workshops and tutorials at CVPR, including: Workshop on Data-Driven Autonomous Driving Simulation, featuring Marco Pavone, senior director of AV research at NVIDIA, and Sanja Fidler, vice president of AI research at NVIDIA Workshop on Autonomous Driving, featuring Laura Leal-Taixe, senior research manager at NVIDIA Workshop on Open-World 3D Scene Understanding with Foundation Models, featuring Leal-Taixe Safe Artificial Intelligence for All Domains, featuring Jose Alvarez, director of AV applied research at NVIDIA Workshop on Foundation Models for V2X-Based Cooperative Autonomous Driving, featuring Pavone and Leal-Taixe Workshop on Multi-Agent Embodied Intelligent Systems Meet Generative AI Era, featuring Pavone LatinX in CV Workshop, featuring Leal-Taixe Workshop on Exploring the Next Generation of Data, featuring Alvarez Full-Stack, GPU-Based Acceleration of Deep Learning and Foundation Models, led by NVIDIA Continuous Data Cycle via Foundation Models, led by NVIDIA Distillation of Foundation Models for Autonomous Driving, led by NVIDIA Explore the NVIDIA research papers to be presented at CVPR and watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang. Learn more about NVIDIA Research, a global team of hundreds of scientists and engineers focused on topics including AI, computer graphics, computer vision, self-driving cars and robotics. The featured image above shows how an autonomous vehicle adapts its trajectory to navigate an urban environment with dynamic traffic using the GTRS model.
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  • European Robot Makers Adopt NVIDIA Isaac, Omniverse and Halos to Develop Safe, Physical AI-Driven Robot Fleets

    In the face of growing labor shortages and need for sustainability, European manufacturers are racing to reinvent their processes to become software-defined and AI-driven.
    To achieve this, robot developers and industrial digitalization solution providers are working with NVIDIA to build safe, AI-driven robots and industrial technologies to drive modern, sustainable manufacturing.
    At NVIDIA GTC Paris at VivaTech, Europe’s leading robotics companies including Agile Robots, Extend Robotics, Humanoid, idealworks, Neura Robotics, SICK, Universal Robots, Vorwerk and Wandelbots are showcasing their latest AI-driven robots and automation breakthroughs, all accelerated by NVIDIA technologies. In addition, NVIDIA is releasing new models and tools to support the entire robotics ecosystem.
    NVIDIA Releases Tools for Accelerating Robot Development and Safety
    NVIDIA Isaac GR00T N1.5, an open foundation model for humanoid robot reasoning and skills, is now available for download on Hugging Face. This update enhances the model’s adaptability and ability to follow instructions, significantly improving its performance in material handling and manufacturing tasks. The NVIDIA Isaac Sim 5.0 and Isaac Lab 2.2 open-source robotics simulation and learning frameworks, optimized for NVIDIA RTX PRO 6000 workstations, are available on GitHub for developer preview.
    In addition, NVIDIA announced that NVIDIA Halos — a full-stack, comprehensive safety system that unifies hardware architecture, AI models, software, tools and services — now expands to robotics, promoting safety across the entire development lifecycle of AI-driven robots.
    The NVIDIA Halos AI Systems Inspection Lab has earned accreditation from the ANSI National Accreditation Boardto perform inspections across functional safety for robotics, in addition to automotive vehicles.
    “NVIDIA’s latest evaluation with ANAB verifies the demonstration of competence and compliance with internationally recognized standards, helping ensure that developers of autonomous machines — from automotive to robotics — can meet the highest benchmarks for functional safety,” said R. Douglas Leonard Jr., executive director of ANAB.
    Arcbest, Advantech, Bluewhite, Boston Dynamics, FORT, Inxpect, KION, NexCobot — a NEXCOM company, and Synapticon are among the first robotics companies to join the Halos Inspection Lab, ensuring their products meet NVIDIA safety and cybersecurity requirements.
    To support robotics leaders in strengthening safety across the entire development lifecycle of AI-driven robots, Halos will now provide:

    Safety extension packages for the NVIDIA IGX platform, enabling manufacturers to easily program safety functions into their robots, supported by TÜV Rheinland’s inspection of NVIDIA IGX.
    A robotic safety platform, which includes IGX and NVIDIA Holoscan Sensor Bridge for a unified approach to designing sensor-to-compute architecture with built-in AI safety.
    An outside-in safety AI inspector — an AI-powered agent for monitoring robot operations, helping improve worker safety.

    Europe’s Robotics Ecosystem Builds on NVIDIA’s Three Computers
    Europe’s leading robotics developers and solution providers are integrating the NVIDIA Isaac robotics platform to train, simulate and deploy robots across different embodiments.
    Agile Robots is post-training the GR00T N1 model in Isaac Lab to train its dual-arm manipulator robots, which run on NVIDIA Jetson hardware, to execute a variety of tasks in industrial environments.
    Meanwhile, idealworks has adopted the Mega NVIDIA Omniverse Blueprint for robotic fleet simulation to extend the blueprint’s capabilities to humanoids. Building on the VDA 5050 framework, idealworks contributes to the development of guidance that supports tasks uniquely enabled by humanoid robots, such as picking, moving and placing objects.
    Neura Robotics is integrating NVIDIA Isaac to further enhance its robot development workflows. The company is using GR00T-Mimic to post-train the Isaac GR00T N1 robot foundation model for its service robot MiPA. Neura is also collaborating with SAP and NVIDIA to integrate SAP’s Joule agents with its robots, using the Mega NVIDIA Omniverse Blueprint to simulate and refine robot behavior in complex, realistic operational scenarios before deployment.
    Vorwerk is using NVIDIA technologies to power its AI-driven collaborative robots. The company is post-training GR00T N1 models in Isaac Lab with its custom synthetic data pipeline, which is built on Isaac GR00T-Mimic and powered by the NVIDIA Omniverse platform. The enhanced models are then deployed on NVIDIA Jetson AGX, Jetson Orin or Jetson Thor modules for advanced, real-time home robotics.
    Humanoid is using NVIDIA’s full robotics stack, including Isaac Sim and Isaac Lab, to cut its prototyping time down by six weeks. The company is training its vision language action models on NVIDIA DGX B200 systems to boost the cognitive abilities of its robots, allowing them to operate autonomously in complex environments using Jetson Thor onboard computing.
    Universal Robots is introducing UR15, its fastest collaborative robot yet, to the European market. Using UR’s AI Accelerator — developed on NVIDIA Isaac’s CUDA-accelerated libraries and AI models, as well as NVIDIA Jetson AGX Orin — manufacturers can build AI applications to embed intelligence into the company’s new cobots.
    Wandelbots is showcasing its NOVA Operating System, now integrated with Omniverse, to simulate, validate and optimize robotic behaviors virtually before deploying them to physical robots. Wandelbots also announced a collaboration with EY and EDAG to offer manufacturers a scalable automation platform on Omniverse that speeds up the transition from proof of concept to full-scale deployment.
    Extend Robotics is using the Isaac GR00T platform to enable customers to control and train robots for industrial tasks like visual inspection and handling radioactive materials. The company’s Advanced Mechanics Assistance System lets users collect demonstration data and generate diverse synthetic datasets with NVIDIA GR00T-Mimic and GR00T-Gen to train the GR00T N1 foundation model.
    SICK is enhancing its autonomous perception solutions by integrating new certified sensor models — as well as 2D and 3D lidars, safety scanners and cameras — into NVIDIA Isaac Sim. This enables engineers to virtually design, test and validate machines using SICK’s sensing models within Omniverse, supporting processes spanning product development to large-scale robotic fleet management.
    Toyota Material Handling Europe is working with SoftServe to simulate its autonomous mobile robots working alongside human workers, using the Mega NVIDIA Omniverse Blueprint. Toyota Material Handling Europe is testing and simulating a multitude of traffic scenarios — allowing the company to refine its AI algorithms before real-world deployment.
    NVIDIA’s partner ecosystem is enabling European industries to tap into intelligent, AI-powered robotics. By harnessing advanced simulation, digital twins and generative AI, manufacturers are rapidly developing and deploying safe, adaptable robot fleets that address labor shortages, boost sustainability and drive operational efficiency.
    Watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang at VivaTech, and explore GTC Paris sessions.
    See notice regarding software product information.
    #european #robot #makers #adopt #nvidia
    European Robot Makers Adopt NVIDIA Isaac, Omniverse and Halos to Develop Safe, Physical AI-Driven Robot Fleets
    In the face of growing labor shortages and need for sustainability, European manufacturers are racing to reinvent their processes to become software-defined and AI-driven. To achieve this, robot developers and industrial digitalization solution providers are working with NVIDIA to build safe, AI-driven robots and industrial technologies to drive modern, sustainable manufacturing. At NVIDIA GTC Paris at VivaTech, Europe’s leading robotics companies including Agile Robots, Extend Robotics, Humanoid, idealworks, Neura Robotics, SICK, Universal Robots, Vorwerk and Wandelbots are showcasing their latest AI-driven robots and automation breakthroughs, all accelerated by NVIDIA technologies. In addition, NVIDIA is releasing new models and tools to support the entire robotics ecosystem. NVIDIA Releases Tools for Accelerating Robot Development and Safety NVIDIA Isaac GR00T N1.5, an open foundation model for humanoid robot reasoning and skills, is now available for download on Hugging Face. This update enhances the model’s adaptability and ability to follow instructions, significantly improving its performance in material handling and manufacturing tasks. The NVIDIA Isaac Sim 5.0 and Isaac Lab 2.2 open-source robotics simulation and learning frameworks, optimized for NVIDIA RTX PRO 6000 workstations, are available on GitHub for developer preview. In addition, NVIDIA announced that NVIDIA Halos — a full-stack, comprehensive safety system that unifies hardware architecture, AI models, software, tools and services — now expands to robotics, promoting safety across the entire development lifecycle of AI-driven robots. The NVIDIA Halos AI Systems Inspection Lab has earned accreditation from the ANSI National Accreditation Boardto perform inspections across functional safety for robotics, in addition to automotive vehicles. “NVIDIA’s latest evaluation with ANAB verifies the demonstration of competence and compliance with internationally recognized standards, helping ensure that developers of autonomous machines — from automotive to robotics — can meet the highest benchmarks for functional safety,” said R. Douglas Leonard Jr., executive director of ANAB. Arcbest, Advantech, Bluewhite, Boston Dynamics, FORT, Inxpect, KION, NexCobot — a NEXCOM company, and Synapticon are among the first robotics companies to join the Halos Inspection Lab, ensuring their products meet NVIDIA safety and cybersecurity requirements. To support robotics leaders in strengthening safety across the entire development lifecycle of AI-driven robots, Halos will now provide: Safety extension packages for the NVIDIA IGX platform, enabling manufacturers to easily program safety functions into their robots, supported by TÜV Rheinland’s inspection of NVIDIA IGX. A robotic safety platform, which includes IGX and NVIDIA Holoscan Sensor Bridge for a unified approach to designing sensor-to-compute architecture with built-in AI safety. An outside-in safety AI inspector — an AI-powered agent for monitoring robot operations, helping improve worker safety. Europe’s Robotics Ecosystem Builds on NVIDIA’s Three Computers Europe’s leading robotics developers and solution providers are integrating the NVIDIA Isaac robotics platform to train, simulate and deploy robots across different embodiments. Agile Robots is post-training the GR00T N1 model in Isaac Lab to train its dual-arm manipulator robots, which run on NVIDIA Jetson hardware, to execute a variety of tasks in industrial environments. Meanwhile, idealworks has adopted the Mega NVIDIA Omniverse Blueprint for robotic fleet simulation to extend the blueprint’s capabilities to humanoids. Building on the VDA 5050 framework, idealworks contributes to the development of guidance that supports tasks uniquely enabled by humanoid robots, such as picking, moving and placing objects. Neura Robotics is integrating NVIDIA Isaac to further enhance its robot development workflows. The company is using GR00T-Mimic to post-train the Isaac GR00T N1 robot foundation model for its service robot MiPA. Neura is also collaborating with SAP and NVIDIA to integrate SAP’s Joule agents with its robots, using the Mega NVIDIA Omniverse Blueprint to simulate and refine robot behavior in complex, realistic operational scenarios before deployment. Vorwerk is using NVIDIA technologies to power its AI-driven collaborative robots. The company is post-training GR00T N1 models in Isaac Lab with its custom synthetic data pipeline, which is built on Isaac GR00T-Mimic and powered by the NVIDIA Omniverse platform. The enhanced models are then deployed on NVIDIA Jetson AGX, Jetson Orin or Jetson Thor modules for advanced, real-time home robotics. Humanoid is using NVIDIA’s full robotics stack, including Isaac Sim and Isaac Lab, to cut its prototyping time down by six weeks. The company is training its vision language action models on NVIDIA DGX B200 systems to boost the cognitive abilities of its robots, allowing them to operate autonomously in complex environments using Jetson Thor onboard computing. Universal Robots is introducing UR15, its fastest collaborative robot yet, to the European market. Using UR’s AI Accelerator — developed on NVIDIA Isaac’s CUDA-accelerated libraries and AI models, as well as NVIDIA Jetson AGX Orin — manufacturers can build AI applications to embed intelligence into the company’s new cobots. Wandelbots is showcasing its NOVA Operating System, now integrated with Omniverse, to simulate, validate and optimize robotic behaviors virtually before deploying them to physical robots. Wandelbots also announced a collaboration with EY and EDAG to offer manufacturers a scalable automation platform on Omniverse that speeds up the transition from proof of concept to full-scale deployment. Extend Robotics is using the Isaac GR00T platform to enable customers to control and train robots for industrial tasks like visual inspection and handling radioactive materials. The company’s Advanced Mechanics Assistance System lets users collect demonstration data and generate diverse synthetic datasets with NVIDIA GR00T-Mimic and GR00T-Gen to train the GR00T N1 foundation model. SICK is enhancing its autonomous perception solutions by integrating new certified sensor models — as well as 2D and 3D lidars, safety scanners and cameras — into NVIDIA Isaac Sim. This enables engineers to virtually design, test and validate machines using SICK’s sensing models within Omniverse, supporting processes spanning product development to large-scale robotic fleet management. Toyota Material Handling Europe is working with SoftServe to simulate its autonomous mobile robots working alongside human workers, using the Mega NVIDIA Omniverse Blueprint. Toyota Material Handling Europe is testing and simulating a multitude of traffic scenarios — allowing the company to refine its AI algorithms before real-world deployment. NVIDIA’s partner ecosystem is enabling European industries to tap into intelligent, AI-powered robotics. By harnessing advanced simulation, digital twins and generative AI, manufacturers are rapidly developing and deploying safe, adaptable robot fleets that address labor shortages, boost sustainability and drive operational efficiency. Watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang at VivaTech, and explore GTC Paris sessions. See notice regarding software product information. #european #robot #makers #adopt #nvidia
    BLOGS.NVIDIA.COM
    European Robot Makers Adopt NVIDIA Isaac, Omniverse and Halos to Develop Safe, Physical AI-Driven Robot Fleets
    In the face of growing labor shortages and need for sustainability, European manufacturers are racing to reinvent their processes to become software-defined and AI-driven. To achieve this, robot developers and industrial digitalization solution providers are working with NVIDIA to build safe, AI-driven robots and industrial technologies to drive modern, sustainable manufacturing. At NVIDIA GTC Paris at VivaTech, Europe’s leading robotics companies including Agile Robots, Extend Robotics, Humanoid, idealworks, Neura Robotics, SICK, Universal Robots, Vorwerk and Wandelbots are showcasing their latest AI-driven robots and automation breakthroughs, all accelerated by NVIDIA technologies. In addition, NVIDIA is releasing new models and tools to support the entire robotics ecosystem. NVIDIA Releases Tools for Accelerating Robot Development and Safety NVIDIA Isaac GR00T N1.5, an open foundation model for humanoid robot reasoning and skills, is now available for download on Hugging Face. This update enhances the model’s adaptability and ability to follow instructions, significantly improving its performance in material handling and manufacturing tasks. The NVIDIA Isaac Sim 5.0 and Isaac Lab 2.2 open-source robotics simulation and learning frameworks, optimized for NVIDIA RTX PRO 6000 workstations, are available on GitHub for developer preview. In addition, NVIDIA announced that NVIDIA Halos — a full-stack, comprehensive safety system that unifies hardware architecture, AI models, software, tools and services — now expands to robotics, promoting safety across the entire development lifecycle of AI-driven robots. The NVIDIA Halos AI Systems Inspection Lab has earned accreditation from the ANSI National Accreditation Board (ANAB) to perform inspections across functional safety for robotics, in addition to automotive vehicles. “NVIDIA’s latest evaluation with ANAB verifies the demonstration of competence and compliance with internationally recognized standards, helping ensure that developers of autonomous machines — from automotive to robotics — can meet the highest benchmarks for functional safety,” said R. Douglas Leonard Jr., executive director of ANAB. Arcbest, Advantech, Bluewhite, Boston Dynamics, FORT, Inxpect, KION, NexCobot — a NEXCOM company, and Synapticon are among the first robotics companies to join the Halos Inspection Lab, ensuring their products meet NVIDIA safety and cybersecurity requirements. To support robotics leaders in strengthening safety across the entire development lifecycle of AI-driven robots, Halos will now provide: Safety extension packages for the NVIDIA IGX platform, enabling manufacturers to easily program safety functions into their robots, supported by TÜV Rheinland’s inspection of NVIDIA IGX. A robotic safety platform, which includes IGX and NVIDIA Holoscan Sensor Bridge for a unified approach to designing sensor-to-compute architecture with built-in AI safety. An outside-in safety AI inspector — an AI-powered agent for monitoring robot operations, helping improve worker safety. Europe’s Robotics Ecosystem Builds on NVIDIA’s Three Computers Europe’s leading robotics developers and solution providers are integrating the NVIDIA Isaac robotics platform to train, simulate and deploy robots across different embodiments. Agile Robots is post-training the GR00T N1 model in Isaac Lab to train its dual-arm manipulator robots, which run on NVIDIA Jetson hardware, to execute a variety of tasks in industrial environments. Meanwhile, idealworks has adopted the Mega NVIDIA Omniverse Blueprint for robotic fleet simulation to extend the blueprint’s capabilities to humanoids. Building on the VDA 5050 framework, idealworks contributes to the development of guidance that supports tasks uniquely enabled by humanoid robots, such as picking, moving and placing objects. Neura Robotics is integrating NVIDIA Isaac to further enhance its robot development workflows. The company is using GR00T-Mimic to post-train the Isaac GR00T N1 robot foundation model for its service robot MiPA. Neura is also collaborating with SAP and NVIDIA to integrate SAP’s Joule agents with its robots, using the Mega NVIDIA Omniverse Blueprint to simulate and refine robot behavior in complex, realistic operational scenarios before deployment. Vorwerk is using NVIDIA technologies to power its AI-driven collaborative robots. The company is post-training GR00T N1 models in Isaac Lab with its custom synthetic data pipeline, which is built on Isaac GR00T-Mimic and powered by the NVIDIA Omniverse platform. The enhanced models are then deployed on NVIDIA Jetson AGX, Jetson Orin or Jetson Thor modules for advanced, real-time home robotics. Humanoid is using NVIDIA’s full robotics stack, including Isaac Sim and Isaac Lab, to cut its prototyping time down by six weeks. The company is training its vision language action models on NVIDIA DGX B200 systems to boost the cognitive abilities of its robots, allowing them to operate autonomously in complex environments using Jetson Thor onboard computing. Universal Robots is introducing UR15, its fastest collaborative robot yet, to the European market. Using UR’s AI Accelerator — developed on NVIDIA Isaac’s CUDA-accelerated libraries and AI models, as well as NVIDIA Jetson AGX Orin — manufacturers can build AI applications to embed intelligence into the company’s new cobots. Wandelbots is showcasing its NOVA Operating System, now integrated with Omniverse, to simulate, validate and optimize robotic behaviors virtually before deploying them to physical robots. Wandelbots also announced a collaboration with EY and EDAG to offer manufacturers a scalable automation platform on Omniverse that speeds up the transition from proof of concept to full-scale deployment. Extend Robotics is using the Isaac GR00T platform to enable customers to control and train robots for industrial tasks like visual inspection and handling radioactive materials. The company’s Advanced Mechanics Assistance System lets users collect demonstration data and generate diverse synthetic datasets with NVIDIA GR00T-Mimic and GR00T-Gen to train the GR00T N1 foundation model. SICK is enhancing its autonomous perception solutions by integrating new certified sensor models — as well as 2D and 3D lidars, safety scanners and cameras — into NVIDIA Isaac Sim. This enables engineers to virtually design, test and validate machines using SICK’s sensing models within Omniverse, supporting processes spanning product development to large-scale robotic fleet management. Toyota Material Handling Europe is working with SoftServe to simulate its autonomous mobile robots working alongside human workers, using the Mega NVIDIA Omniverse Blueprint. Toyota Material Handling Europe is testing and simulating a multitude of traffic scenarios — allowing the company to refine its AI algorithms before real-world deployment. NVIDIA’s partner ecosystem is enabling European industries to tap into intelligent, AI-powered robotics. By harnessing advanced simulation, digital twins and generative AI, manufacturers are rapidly developing and deploying safe, adaptable robot fleets that address labor shortages, boost sustainability and drive operational efficiency. Watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang at VivaTech, and explore GTC Paris sessions. See notice regarding software product information.
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  • A Really Fun Game Is Leaving Steam Soon But Costs Less Than $1 Right Now

    A really cool parkour game is being delisted from Steam on June 30, but you still have a chance to grab it for dirt cheap. Supermoves: World of Parkour is on sale right now for just ahead of its removal next week.Despite being a blast to play, Supermoves has had a bit of a tragic life following its release last year. Based on both critical and Steam review response, Supermoves is a blast, combining Mirror's Edge-inspired freerunning with some cool multiplayer modes. However, the game did not sell particularly well, and developer Makea Games was forced to shut down back in April. Tomi Toikka, the founder and former CEO of Makea Games, stated that he has been in negotiations to try to retain control over the Supermoves IP, but to no avail. As he shared in a final update announcing the delisting, Makea's financing structure apparently prohibits any path for Toikka to keep the game on sale. He wrote, "After shutting down Makea Games, I had hoped I could salvage the game IP to be preserved in another game company, so players could still play the game they own online, and maybe it could see a resurgence in new players one day. But sometimes the cost of doing business is losing something you love."Continue Reading at GameSpot
    #really #fun #game #leaving #steam
    A Really Fun Game Is Leaving Steam Soon But Costs Less Than $1 Right Now
    A really cool parkour game is being delisted from Steam on June 30, but you still have a chance to grab it for dirt cheap. Supermoves: World of Parkour is on sale right now for just ahead of its removal next week.Despite being a blast to play, Supermoves has had a bit of a tragic life following its release last year. Based on both critical and Steam review response, Supermoves is a blast, combining Mirror's Edge-inspired freerunning with some cool multiplayer modes. However, the game did not sell particularly well, and developer Makea Games was forced to shut down back in April. Tomi Toikka, the founder and former CEO of Makea Games, stated that he has been in negotiations to try to retain control over the Supermoves IP, but to no avail. As he shared in a final update announcing the delisting, Makea's financing structure apparently prohibits any path for Toikka to keep the game on sale. He wrote, "After shutting down Makea Games, I had hoped I could salvage the game IP to be preserved in another game company, so players could still play the game they own online, and maybe it could see a resurgence in new players one day. But sometimes the cost of doing business is losing something you love."Continue Reading at GameSpot #really #fun #game #leaving #steam
    WWW.GAMESPOT.COM
    A Really Fun Game Is Leaving Steam Soon But Costs Less Than $1 Right Now
    A really cool parkour game is being delisted from Steam on June 30, but you still have a chance to grab it for dirt cheap. Supermoves: World of Parkour is on sale right now for just $0.79 ahead of its removal next week.Despite being a blast to play, Supermoves has had a bit of a tragic life following its release last year. Based on both critical and Steam review response, Supermoves is a blast, combining Mirror's Edge-inspired freerunning with some cool multiplayer modes. However, the game did not sell particularly well, and developer Makea Games was forced to shut down back in April. Tomi Toikka, the founder and former CEO of Makea Games, stated that he has been in negotiations to try to retain control over the Supermoves IP, but to no avail. As he shared in a final update announcing the delisting, Makea's financing structure apparently prohibits any path for Toikka to keep the game on sale. He wrote, "After shutting down Makea Games, I had hoped I could salvage the game IP to be preserved in another game company, so players could still play the game they own online, and maybe it could see a resurgence in new players one day. But sometimes the cost of doing business is losing something you love."Continue Reading at GameSpot
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  • Are you ready for a holy pilgrimage with "Oblivion Remastered's Knights of the Nine"? Because nothing screams divine intervention quite like a quest that takes longer to walk than it does to actually complete. Forget about all those fancy fast-travel points; this expansion is all about embracing the ancient art of strolling through the breathtakingly dull landscapes of Cyrodiil. Who needs engaging gameplay when you can enjoy the scenic route of endless walking? Remember, folks, every step is a step closer to… well, somewhere! So lace up those boots and prepare for a sacred journey that’s less about the destination and more about the blisters.

    #OblivionRemastered #KnightsOfTheNine #HolyPilgrimage #GamingSat
    Are you ready for a holy pilgrimage with "Oblivion Remastered's Knights of the Nine"? Because nothing screams divine intervention quite like a quest that takes longer to walk than it does to actually complete. Forget about all those fancy fast-travel points; this expansion is all about embracing the ancient art of strolling through the breathtakingly dull landscapes of Cyrodiil. Who needs engaging gameplay when you can enjoy the scenic route of endless walking? Remember, folks, every step is a step closer to… well, somewhere! So lace up those boots and prepare for a sacred journey that’s less about the destination and more about the blisters. #OblivionRemastered #KnightsOfTheNine #HolyPilgrimage #GamingSat
    KOTAKU.COM
    Oblivion Remastered's Knights Of The Nine Will Send You On A Holy Pilgrimage
    Bundled in with the likes of The Shivering Isles and the Fighters’ Stronghold, Knights of the Nine is an expansion featuring a Cyrodiil-spanning questline following an order of heavenly knights. Though it’s somewhat short, as a quest it’s heavy on wa
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  • The Best Teams In EA Sports College Football 26, According To EA

    Who are the best teams in College Football 26? You don't have to wonder anymore, as the publisher has revealed the answer.EA Sports' College Football series came soaring back last year, following a hiatus of more than a decade. It became the best-selling sports game of all time, surpassing a record previously held by a COVID-era NBA 2K entry. This year's game is coming soon, and EA is surely hoping to keep its winning streak going.With just a few weeks separating players from the launch of the game, which is even sooner if you preorder, today the publisher has unveiled the game's 10 best teams.Naturally, the list is full of some major programs, though you'll notice they're all of a similar stature, as a few schools have built up major contenders that now stand toe to toe with the legacy giants of the sport.A list like this is partly meant to generate hype, but EA surely knows it'll also unavoidably lead to controversy even when the rankings are determined in good faith. Don't ever let reasonable arguments come between you and your favorite sports teams, right?With that in mind, take a look at the best teams in College Football 26, including several from the Lone Star State, the defending champions, and all four teams from last year's semi-finals. 1. Alabama - 89 OVR 2. Texas - 88 OVR 3. Ohio State - 88 OVR 4. Penn State - 88 OVR 5. Notre Dame - 88 OVR 6. Georgia - 88 OVR 7. Clemson - 88 OVR 8. Texas A&M - 88 OVR 9. Oregon - 86 OVR 10. LSU - 86 OVR
    #best #teams #sports #college #football
    The Best Teams In EA Sports College Football 26, According To EA
    Who are the best teams in College Football 26? You don't have to wonder anymore, as the publisher has revealed the answer.EA Sports' College Football series came soaring back last year, following a hiatus of more than a decade. It became the best-selling sports game of all time, surpassing a record previously held by a COVID-era NBA 2K entry. This year's game is coming soon, and EA is surely hoping to keep its winning streak going.With just a few weeks separating players from the launch of the game, which is even sooner if you preorder, today the publisher has unveiled the game's 10 best teams.Naturally, the list is full of some major programs, though you'll notice they're all of a similar stature, as a few schools have built up major contenders that now stand toe to toe with the legacy giants of the sport.A list like this is partly meant to generate hype, but EA surely knows it'll also unavoidably lead to controversy even when the rankings are determined in good faith. Don't ever let reasonable arguments come between you and your favorite sports teams, right?With that in mind, take a look at the best teams in College Football 26, including several from the Lone Star State, the defending champions, and all four teams from last year's semi-finals. 1. Alabama - 89 OVR 2. Texas - 88 OVR 3. Ohio State - 88 OVR 4. Penn State - 88 OVR 5. Notre Dame - 88 OVR 6. Georgia - 88 OVR 7. Clemson - 88 OVR 8. Texas A&M - 88 OVR 9. Oregon - 86 OVR 10. LSU - 86 OVR #best #teams #sports #college #football
    WWW.GAMESPOT.COM
    The Best Teams In EA Sports College Football 26, According To EA
    Who are the best teams in College Football 26? You don't have to wonder anymore, as the publisher has revealed the answer.EA Sports' College Football series came soaring back last year, following a hiatus of more than a decade. It became the best-selling sports game of all time, surpassing a record previously held by a COVID-era NBA 2K entry. This year's game is coming soon, and EA is surely hoping to keep its winning streak going.With just a few weeks separating players from the launch of the game, which is even sooner if you preorder, today the publisher has unveiled the game's 10 best teams.Naturally, the list is full of some major programs, though you'll notice they're all of a similar stature, as a few schools have built up major contenders that now stand toe to toe with the legacy giants of the sport.A list like this is partly meant to generate hype, but EA surely knows it'll also unavoidably lead to controversy even when the rankings are determined in good faith. Don't ever let reasonable arguments come between you and your favorite sports teams, right?With that in mind, take a look at the best teams in College Football 26, including several from the Lone Star State, the defending champions, and all four teams from last year's semi-finals. 1. Alabama - 89 OVR 2. Texas - 88 OVR 3. Ohio State - 88 OVR 4. Penn State - 88 OVR 5. Notre Dame - 88 OVR 6. Georgia - 88 OVR 7. Clemson - 88 OVR 8. Texas A&M - 88 OVR 9. Oregon - 86 OVR 10. LSU - 86 OVR
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  • incroyable ! En moins d'un an, un outil d'intelligence artificielle se hisse en tête de la liste des "hackers éthiques" ! Cela montre à quel point l'innovation et la créativité peuvent transformer notre monde. Chaque jour, des esprits brillants travaillent dur pour rendre notre cybersécurité plus forte et plus efficace.

    N'oublions jamais que chaque petit pas compte dans notre quête d'un avenir meilleur. Que vous soyez un expert en technologie ou simplement curieux, rappelez-vous que vous pouvez également faire une différence ! Ensemble, nous construisons un monde plus sûr et plus intelligent !

    #IntelligenceArtificielle #HackersÉthiques #Innovation
    🌟 incroyable ! En moins d'un an, un outil d'intelligence artificielle se hisse en tête de la liste des "hackers éthiques" ! 🥳 Cela montre à quel point l'innovation et la créativité peuvent transformer notre monde. Chaque jour, des esprits brillants travaillent dur pour rendre notre cybersécurité plus forte et plus efficace. 💪 N'oublions jamais que chaque petit pas compte dans notre quête d'un avenir meilleur. Que vous soyez un expert en technologie ou simplement curieux, rappelez-vous que vous pouvez également faire une différence ! Ensemble, nous construisons un monde plus sûr et plus intelligent ! 🌍✨ #IntelligenceArtificielle #HackersÉthiques #Innovation
    ARABHARDWARE.NET
    في أقل من عام: أداة ذكاء اصطناعي تتصدر قائمة "الهاكرز الأخلاقيين"!
    The post في أقل من عام: أداة ذكاء اصطناعي تتصدر قائمة "الهاكرز الأخلاقيين"! appeared first on عرب هاردوير.
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  • NVIDIA Brings Physical AI to European Cities With New Blueprint for Smart City AI

    Urban populations are expected to double by 2050, which means around 2.5 billion people could be added to urban areas by the middle of the century, driving the need for more sustainable urban planning and public services. Cities across the globe are turning to digital twins and AI agents for urban planning scenario analysis and data-driven operational decisions.
    Building a digital twin of a city and testing smart city AI agents within it, however, is a complex and resource-intensive endeavor, fraught with technical and operational challenges.
    To address those challenges, NVIDIA today announced the NVIDIA Omniverse Blueprint for smart city AI, a reference framework that combines the NVIDIA Omniverse, Cosmos, NeMo and Metropolis platforms to bring the benefits of physical AI to entire cities and their critical infrastructure.
    Using the blueprint, developers can build simulation-ready, or SimReady, photorealistic digital twins of cities to build and test AI agents that can help monitor and optimize city operations.
    Leading companies including XXII, AVES Reality, Akila, Blyncsy, Bentley, Cesium, K2K, Linker Vision, Milestone Systems, Nebius, SNCF Gares&Connexions, Trimble and Younite AI are among the first to use the new blueprint.

    NVIDIA Omniverse Blueprint for Smart City AI 
    The NVIDIA Omniverse Blueprint for smart city AI provides the complete software stack needed to accelerate the development and testing of AI agents in physically accurate digital twins of cities. It includes:

    NVIDIA Omniverse to build physically accurate digital twins and run simulations at city scale.
    NVIDIA Cosmos to generate synthetic data at scale for post-training AI models.
    NVIDIA NeMo to curate high-quality data and use that data to train and fine-tune vision language modelsand large language models.
    NVIDIA Metropolis to build and deploy video analytics AI agents based on the NVIDIA AI Blueprint for video search and summarization, helping process vast amounts of video data and provide critical insights to optimize business processes.

    The blueprint workflow comprises three key steps. First, developers create a SimReady digital twin of locations and facilities using aerial, satellite or map data with Omniverse and Cosmos. Second, they can train and fine-tune AI models, like computer vision models and VLMs, using NVIDIA TAO and NeMo Curator to improve accuracy for vision AI use cases​. Finally, real-time AI agents powered by these customized models are deployed to alert, summarize and query camera and sensor data using the Metropolis VSS blueprint.
    NVIDIA Partner Ecosystem Powers Smart Cities Worldwide
    The blueprint for smart city AI enables a large ecosystem of partners to use a single workflow to build and activate digital twins for smart city use cases, tapping into a combination of NVIDIA’s technologies and their own.
    SNCF Gares&Connexions, which operates a network of 3,000 train stations across France and Monaco, has deployed a digital twin and AI agents to enable real-time operational monitoring, emergency response simulations and infrastructure upgrade planning.
    This helps each station analyze operational data such as energy and water use, and enables predictive maintenance capabilities, automated reporting and GDPR-compliant video analytics for incident detection and crowd management.
    Powered by Omniverse, Metropolis and solutions from ecosystem partners Akila and XXII, SNCF Gares&Connexions’ physical AI deployment at the Monaco-Monte-Carlo and Marseille stations has helped SNCF Gares&Connexions achieve a 100% on-time preventive maintenance completion rate, a 50% reduction in downtime and issue response time, and a 20% reduction in energy consumption.

    The city of Palermo in Sicily is using AI agents and digital twins from its partner K2K to improve public health and safety by helping city operators process and analyze footage from over 1,000 public video streams at a rate of nearly 50 billion pixels per second.
    Tapped by Sicily, K2K’s AI agents — built with the NVIDIA AI Blueprint for VSS and cloud solutions from Nebius — can interpret and act on video data to provide real-time alerts on public events.
    To accurately predict and resolve traffic incidents, K2K is generating synthetic data with Cosmos world foundation models to simulate different driving conditions. Then, K2K uses the data to fine-tune the VLMs powering the AI agents with NeMo Curator. These simulations enable K2K’s AI agents to create over 100,000 predictions per second.

    Milestone Systems — in collaboration with NVIDIA and European cities — has launched Project Hafnia, an initiative to build an anonymized, ethically sourced video data platform for cities to develop and train AI models and applications while maintaining regulatory compliance.
    Using a combination of Cosmos and NeMo Curator on NVIDIA DGX Cloud and Nebius’ sovereign European cloud infrastructure, Project Hafnia scales up and enables European-compliant training and fine-tuning of video-centric AI models, including VLMs, for a variety of smart city use cases.
    The project’s initial rollout, taking place in Genoa, Italy, features one of the world’s first VLM models for intelligent transportation systems.

    Linker Vision was among the first to partner with NVIDIA to deploy smart city digital twins and AI agents for Kaohsiung City, Taiwan — powered by Omniverse, Cosmos and Metropolis. Linker Vision worked with AVES Reality, a digital twin company, to bring aerial imagery of cities and infrastructure into 3D geometry and ultimately into SimReady Omniverse digital twins.
    Linker Vision’s AI-powered application then built, trained and tested visual AI agents in a digital twin before deployment in the physical city. Now, it’s scaling to analyze 50,000 video streams in real time with generative AI to understand and narrate complex urban events like floods and traffic accidents. Linker Vision delivers timely insights to a dozen city departments through a single integrated AI-powered platform, breaking silos and reducing incident response times by up to 80%.

    Bentley Systems is joining the effort to bring physical AI to cities with the NVIDIA blueprint. Cesium, the open 3D geospatial platform, provides the foundation for visualizing, analyzing and managing infrastructure projects and ports digital twins to Omniverse. The company’s AI platform Blyncsy uses synthetic data generation and Metropolis to analyze road conditions and improve maintenance.
    Trimble, a global technology company that enables essential industries including construction, geospatial and transportation, is exploring ways to integrate components of the Omniverse blueprint into its reality capture workflows and Trimble Connect digital twin platform for surveying and mapping applications for smart cities.
    Younite AI, a developer of AI and 3D digital twin solutions, is adopting the blueprint to accelerate its development pipeline, enabling the company to quickly move from operational digital twins to large-scale urban simulations, improve synthetic data generation, integrate real-time IoT sensor data and deploy AI agents.
    Learn more about the NVIDIA Omniverse Blueprint for smart city AI by attending this GTC Paris session or watching the on-demand video after the event. Sign up to be notified when the blueprint is available.
    Watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang at VivaTech, and explore GTC Paris sessions.
    #nvidia #brings #physical #european #cities
    NVIDIA Brings Physical AI to European Cities With New Blueprint for Smart City AI
    Urban populations are expected to double by 2050, which means around 2.5 billion people could be added to urban areas by the middle of the century, driving the need for more sustainable urban planning and public services. Cities across the globe are turning to digital twins and AI agents for urban planning scenario analysis and data-driven operational decisions. Building a digital twin of a city and testing smart city AI agents within it, however, is a complex and resource-intensive endeavor, fraught with technical and operational challenges. To address those challenges, NVIDIA today announced the NVIDIA Omniverse Blueprint for smart city AI, a reference framework that combines the NVIDIA Omniverse, Cosmos, NeMo and Metropolis platforms to bring the benefits of physical AI to entire cities and their critical infrastructure. Using the blueprint, developers can build simulation-ready, or SimReady, photorealistic digital twins of cities to build and test AI agents that can help monitor and optimize city operations. Leading companies including XXII, AVES Reality, Akila, Blyncsy, Bentley, Cesium, K2K, Linker Vision, Milestone Systems, Nebius, SNCF Gares&Connexions, Trimble and Younite AI are among the first to use the new blueprint. NVIDIA Omniverse Blueprint for Smart City AI  The NVIDIA Omniverse Blueprint for smart city AI provides the complete software stack needed to accelerate the development and testing of AI agents in physically accurate digital twins of cities. It includes: NVIDIA Omniverse to build physically accurate digital twins and run simulations at city scale. NVIDIA Cosmos to generate synthetic data at scale for post-training AI models. NVIDIA NeMo to curate high-quality data and use that data to train and fine-tune vision language modelsand large language models. NVIDIA Metropolis to build and deploy video analytics AI agents based on the NVIDIA AI Blueprint for video search and summarization, helping process vast amounts of video data and provide critical insights to optimize business processes. The blueprint workflow comprises three key steps. First, developers create a SimReady digital twin of locations and facilities using aerial, satellite or map data with Omniverse and Cosmos. Second, they can train and fine-tune AI models, like computer vision models and VLMs, using NVIDIA TAO and NeMo Curator to improve accuracy for vision AI use cases​. Finally, real-time AI agents powered by these customized models are deployed to alert, summarize and query camera and sensor data using the Metropolis VSS blueprint. NVIDIA Partner Ecosystem Powers Smart Cities Worldwide The blueprint for smart city AI enables a large ecosystem of partners to use a single workflow to build and activate digital twins for smart city use cases, tapping into a combination of NVIDIA’s technologies and their own. SNCF Gares&Connexions, which operates a network of 3,000 train stations across France and Monaco, has deployed a digital twin and AI agents to enable real-time operational monitoring, emergency response simulations and infrastructure upgrade planning. This helps each station analyze operational data such as energy and water use, and enables predictive maintenance capabilities, automated reporting and GDPR-compliant video analytics for incident detection and crowd management. Powered by Omniverse, Metropolis and solutions from ecosystem partners Akila and XXII, SNCF Gares&Connexions’ physical AI deployment at the Monaco-Monte-Carlo and Marseille stations has helped SNCF Gares&Connexions achieve a 100% on-time preventive maintenance completion rate, a 50% reduction in downtime and issue response time, and a 20% reduction in energy consumption. The city of Palermo in Sicily is using AI agents and digital twins from its partner K2K to improve public health and safety by helping city operators process and analyze footage from over 1,000 public video streams at a rate of nearly 50 billion pixels per second. Tapped by Sicily, K2K’s AI agents — built with the NVIDIA AI Blueprint for VSS and cloud solutions from Nebius — can interpret and act on video data to provide real-time alerts on public events. To accurately predict and resolve traffic incidents, K2K is generating synthetic data with Cosmos world foundation models to simulate different driving conditions. Then, K2K uses the data to fine-tune the VLMs powering the AI agents with NeMo Curator. These simulations enable K2K’s AI agents to create over 100,000 predictions per second. Milestone Systems — in collaboration with NVIDIA and European cities — has launched Project Hafnia, an initiative to build an anonymized, ethically sourced video data platform for cities to develop and train AI models and applications while maintaining regulatory compliance. Using a combination of Cosmos and NeMo Curator on NVIDIA DGX Cloud and Nebius’ sovereign European cloud infrastructure, Project Hafnia scales up and enables European-compliant training and fine-tuning of video-centric AI models, including VLMs, for a variety of smart city use cases. The project’s initial rollout, taking place in Genoa, Italy, features one of the world’s first VLM models for intelligent transportation systems. Linker Vision was among the first to partner with NVIDIA to deploy smart city digital twins and AI agents for Kaohsiung City, Taiwan — powered by Omniverse, Cosmos and Metropolis. Linker Vision worked with AVES Reality, a digital twin company, to bring aerial imagery of cities and infrastructure into 3D geometry and ultimately into SimReady Omniverse digital twins. Linker Vision’s AI-powered application then built, trained and tested visual AI agents in a digital twin before deployment in the physical city. Now, it’s scaling to analyze 50,000 video streams in real time with generative AI to understand and narrate complex urban events like floods and traffic accidents. Linker Vision delivers timely insights to a dozen city departments through a single integrated AI-powered platform, breaking silos and reducing incident response times by up to 80%. Bentley Systems is joining the effort to bring physical AI to cities with the NVIDIA blueprint. Cesium, the open 3D geospatial platform, provides the foundation for visualizing, analyzing and managing infrastructure projects and ports digital twins to Omniverse. The company’s AI platform Blyncsy uses synthetic data generation and Metropolis to analyze road conditions and improve maintenance. Trimble, a global technology company that enables essential industries including construction, geospatial and transportation, is exploring ways to integrate components of the Omniverse blueprint into its reality capture workflows and Trimble Connect digital twin platform for surveying and mapping applications for smart cities. Younite AI, a developer of AI and 3D digital twin solutions, is adopting the blueprint to accelerate its development pipeline, enabling the company to quickly move from operational digital twins to large-scale urban simulations, improve synthetic data generation, integrate real-time IoT sensor data and deploy AI agents. Learn more about the NVIDIA Omniverse Blueprint for smart city AI by attending this GTC Paris session or watching the on-demand video after the event. Sign up to be notified when the blueprint is available. Watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang at VivaTech, and explore GTC Paris sessions. #nvidia #brings #physical #european #cities
    BLOGS.NVIDIA.COM
    NVIDIA Brings Physical AI to European Cities With New Blueprint for Smart City AI
    Urban populations are expected to double by 2050, which means around 2.5 billion people could be added to urban areas by the middle of the century, driving the need for more sustainable urban planning and public services. Cities across the globe are turning to digital twins and AI agents for urban planning scenario analysis and data-driven operational decisions. Building a digital twin of a city and testing smart city AI agents within it, however, is a complex and resource-intensive endeavor, fraught with technical and operational challenges. To address those challenges, NVIDIA today announced the NVIDIA Omniverse Blueprint for smart city AI, a reference framework that combines the NVIDIA Omniverse, Cosmos, NeMo and Metropolis platforms to bring the benefits of physical AI to entire cities and their critical infrastructure. Using the blueprint, developers can build simulation-ready, or SimReady, photorealistic digital twins of cities to build and test AI agents that can help monitor and optimize city operations. Leading companies including XXII, AVES Reality, Akila, Blyncsy, Bentley, Cesium, K2K, Linker Vision, Milestone Systems, Nebius, SNCF Gares&Connexions, Trimble and Younite AI are among the first to use the new blueprint. NVIDIA Omniverse Blueprint for Smart City AI  The NVIDIA Omniverse Blueprint for smart city AI provides the complete software stack needed to accelerate the development and testing of AI agents in physically accurate digital twins of cities. It includes: NVIDIA Omniverse to build physically accurate digital twins and run simulations at city scale. NVIDIA Cosmos to generate synthetic data at scale for post-training AI models. NVIDIA NeMo to curate high-quality data and use that data to train and fine-tune vision language models (VLMs) and large language models. NVIDIA Metropolis to build and deploy video analytics AI agents based on the NVIDIA AI Blueprint for video search and summarization (VSS), helping process vast amounts of video data and provide critical insights to optimize business processes. The blueprint workflow comprises three key steps. First, developers create a SimReady digital twin of locations and facilities using aerial, satellite or map data with Omniverse and Cosmos. Second, they can train and fine-tune AI models, like computer vision models and VLMs, using NVIDIA TAO and NeMo Curator to improve accuracy for vision AI use cases​. Finally, real-time AI agents powered by these customized models are deployed to alert, summarize and query camera and sensor data using the Metropolis VSS blueprint. NVIDIA Partner Ecosystem Powers Smart Cities Worldwide The blueprint for smart city AI enables a large ecosystem of partners to use a single workflow to build and activate digital twins for smart city use cases, tapping into a combination of NVIDIA’s technologies and their own. SNCF Gares&Connexions, which operates a network of 3,000 train stations across France and Monaco, has deployed a digital twin and AI agents to enable real-time operational monitoring, emergency response simulations and infrastructure upgrade planning. This helps each station analyze operational data such as energy and water use, and enables predictive maintenance capabilities, automated reporting and GDPR-compliant video analytics for incident detection and crowd management. Powered by Omniverse, Metropolis and solutions from ecosystem partners Akila and XXII, SNCF Gares&Connexions’ physical AI deployment at the Monaco-Monte-Carlo and Marseille stations has helped SNCF Gares&Connexions achieve a 100% on-time preventive maintenance completion rate, a 50% reduction in downtime and issue response time, and a 20% reduction in energy consumption. https://blogs.nvidia.com/wp-content/uploads/2025/06/01-Monaco-Akila.mp4 The city of Palermo in Sicily is using AI agents and digital twins from its partner K2K to improve public health and safety by helping city operators process and analyze footage from over 1,000 public video streams at a rate of nearly 50 billion pixels per second. Tapped by Sicily, K2K’s AI agents — built with the NVIDIA AI Blueprint for VSS and cloud solutions from Nebius — can interpret and act on video data to provide real-time alerts on public events. To accurately predict and resolve traffic incidents, K2K is generating synthetic data with Cosmos world foundation models to simulate different driving conditions. Then, K2K uses the data to fine-tune the VLMs powering the AI agents with NeMo Curator. These simulations enable K2K’s AI agents to create over 100,000 predictions per second. https://blogs.nvidia.com/wp-content/uploads/2025/06/02-K2K-Polermo-1600x900-1.mp4 Milestone Systems — in collaboration with NVIDIA and European cities — has launched Project Hafnia, an initiative to build an anonymized, ethically sourced video data platform for cities to develop and train AI models and applications while maintaining regulatory compliance. Using a combination of Cosmos and NeMo Curator on NVIDIA DGX Cloud and Nebius’ sovereign European cloud infrastructure, Project Hafnia scales up and enables European-compliant training and fine-tuning of video-centric AI models, including VLMs, for a variety of smart city use cases. The project’s initial rollout, taking place in Genoa, Italy, features one of the world’s first VLM models for intelligent transportation systems. https://blogs.nvidia.com/wp-content/uploads/2025/06/03-Milestone.mp4 Linker Vision was among the first to partner with NVIDIA to deploy smart city digital twins and AI agents for Kaohsiung City, Taiwan — powered by Omniverse, Cosmos and Metropolis. Linker Vision worked with AVES Reality, a digital twin company, to bring aerial imagery of cities and infrastructure into 3D geometry and ultimately into SimReady Omniverse digital twins. Linker Vision’s AI-powered application then built, trained and tested visual AI agents in a digital twin before deployment in the physical city. Now, it’s scaling to analyze 50,000 video streams in real time with generative AI to understand and narrate complex urban events like floods and traffic accidents. Linker Vision delivers timely insights to a dozen city departments through a single integrated AI-powered platform, breaking silos and reducing incident response times by up to 80%. https://blogs.nvidia.com/wp-content/uploads/2025/06/02-Linker-Vision-1280x680-1.mp4 Bentley Systems is joining the effort to bring physical AI to cities with the NVIDIA blueprint. Cesium, the open 3D geospatial platform, provides the foundation for visualizing, analyzing and managing infrastructure projects and ports digital twins to Omniverse. The company’s AI platform Blyncsy uses synthetic data generation and Metropolis to analyze road conditions and improve maintenance. Trimble, a global technology company that enables essential industries including construction, geospatial and transportation, is exploring ways to integrate components of the Omniverse blueprint into its reality capture workflows and Trimble Connect digital twin platform for surveying and mapping applications for smart cities. Younite AI, a developer of AI and 3D digital twin solutions, is adopting the blueprint to accelerate its development pipeline, enabling the company to quickly move from operational digital twins to large-scale urban simulations, improve synthetic data generation, integrate real-time IoT sensor data and deploy AI agents. Learn more about the NVIDIA Omniverse Blueprint for smart city AI by attending this GTC Paris session or watching the on-demand video after the event. Sign up to be notified when the blueprint is available. Watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang at VivaTech, and explore GTC Paris sessions.
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