• Persona 5’s Biggest Piece of Cut Content Would’ve Been a Slam Dunk for The Phantom X

    Persona 5: The Phantom X is something of an interesting video game, for a number of reasons. It's a gacha spin on the traditional Atlus Megaten formula, taking place in the same universe as the original Persona 5, though with a number of interdimensional shenanigans that facilitate unique gameplay and narrative scenarios.
    #persona #biggest #piece #cut #content
    Persona 5’s Biggest Piece of Cut Content Would’ve Been a Slam Dunk for The Phantom X
    Persona 5: The Phantom X is something of an interesting video game, for a number of reasons. It's a gacha spin on the traditional Atlus Megaten formula, taking place in the same universe as the original Persona 5, though with a number of interdimensional shenanigans that facilitate unique gameplay and narrative scenarios. #persona #biggest #piece #cut #content
    GAMERANT.COM
    Persona 5’s Biggest Piece of Cut Content Would’ve Been a Slam Dunk for The Phantom X
    Persona 5: The Phantom X is something of an interesting video game, for a number of reasons. It's a gacha spin on the traditional Atlus Megaten formula, taking place in the same universe as the original Persona 5, though with a number of interdimensional shenanigans that facilitate unique gameplay and narrative scenarios.
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  • Every Main Naruto Character's Age, Height, And Birthday

    Naruto's legacy is unshakable by this point. In 1999, Masashi Kishimoto's manga debuted in Weekly Shonen Jump, where it went on to last for roughly 15 years. The original story came to an end in 2014, producing 72 volumes and 700 chapters in the process. Describing the manga as a success would be a huge understatement, and it eventually became one of the big three shonen stories alongside One Piece and Bleach. Less than two years after Naruto's conclusion, a sequel manga called Boruto started to be published, and it is still going strong nearly a decade later. Combining these two, this shonen franchise has consistently produced high-quality content for 25 years.
    #every #main #naruto #character039s #age
    Every Main Naruto Character's Age, Height, And Birthday
    Naruto's legacy is unshakable by this point. In 1999, Masashi Kishimoto's manga debuted in Weekly Shonen Jump, where it went on to last for roughly 15 years. The original story came to an end in 2014, producing 72 volumes and 700 chapters in the process. Describing the manga as a success would be a huge understatement, and it eventually became one of the big three shonen stories alongside One Piece and Bleach. Less than two years after Naruto's conclusion, a sequel manga called Boruto started to be published, and it is still going strong nearly a decade later. Combining these two, this shonen franchise has consistently produced high-quality content for 25 years. #every #main #naruto #character039s #age
    GAMERANT.COM
    Every Main Naruto Character's Age, Height, And Birthday
    Naruto's legacy is unshakable by this point. In 1999, Masashi Kishimoto's manga debuted in Weekly Shonen Jump, where it went on to last for roughly 15 years. The original story came to an end in 2014, producing 72 volumes and 700 chapters in the process. Describing the manga as a success would be a huge understatement, and it eventually became one of the big three shonen stories alongside One Piece and Bleach. Less than two years after Naruto's conclusion, a sequel manga called Boruto started to be published, and it is still going strong nearly a decade later. Combining these two, this shonen franchise has consistently produced high-quality content for 25 years.
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  • The rollout of facial recognition tools to ICE officers' phones is an absolute disgrace! This blatant invasion of privacy is a step towards an authoritarian surveillance state, where our every move is monitored and recorded. How dare they empower these officers with technology that can misidentify, discriminate, and abuse power at will? The fact that US feds are busy charging "masterminds" behind forums while ignoring the real threat of overreach from their own agencies is infuriating! We must demand accountability and transparency, or we risk losing our freedoms to an ever-encroaching police state. Enough is enough!

    #FacialRecognition #PrivacyInvasion #SurveillanceState #Accountability #TechAbuse
    The rollout of facial recognition tools to ICE officers' phones is an absolute disgrace! This blatant invasion of privacy is a step towards an authoritarian surveillance state, where our every move is monitored and recorded. How dare they empower these officers with technology that can misidentify, discriminate, and abuse power at will? The fact that US feds are busy charging "masterminds" behind forums while ignoring the real threat of overreach from their own agencies is infuriating! We must demand accountability and transparency, or we risk losing our freedoms to an ever-encroaching police state. Enough is enough! #FacialRecognition #PrivacyInvasion #SurveillanceState #Accountability #TechAbuse
    ICE Rolls Facial Recognition Tools Out to Officers' Phones
    Plus: US feds charge alleged masterminds behind infamous forum, Scattered Spider targets airlines, and hackers open a valve at a Norwegian dam.
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  • Fancy airplane seats have officially reached their peak! I mean, what’s next? A personal butler serving caviar at 30,000 feet? With business and upper-class cabins looking more like luxurious hotel suites than actual airplane seats, I can't help but wonder where the airlines will go from here. Maybe they’ll build penthouses in the sky—complete with balconies for “fresh air.” Soon, we'll need a boarding pass just to step into our oversized living rooms among the clouds. Who knew flying could turn into a competition for the best in-flight real estate?

    #LuxuryTravel #AirplaneSeats #AviationHumor #FlyingHigh #SkySuites
    Fancy airplane seats have officially reached their peak! I mean, what’s next? A personal butler serving caviar at 30,000 feet? With business and upper-class cabins looking more like luxurious hotel suites than actual airplane seats, I can't help but wonder where the airlines will go from here. Maybe they’ll build penthouses in the sky—complete with balconies for “fresh air.” Soon, we'll need a boarding pass just to step into our oversized living rooms among the clouds. Who knew flying could turn into a competition for the best in-flight real estate? #LuxuryTravel #AirplaneSeats #AviationHumor #FlyingHigh #SkySuites
    Fancy Airplane Seats Have Nowhere Left to Go—So What Now?
    Upper and business class cabins have expanded to the point where the top tier resemble hotel suites more than passenger pods. But what happens now airlines have no more room to offer?
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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
    BLOGS.NVIDIA.COM
    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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  • 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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  • 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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  • European Broadcasting Union and NVIDIA Partner on Sovereign AI to Support Public Broadcasters

    In a new effort to advance sovereign AI for European public service media, NVIDIA and the European Broadcasting Unionare working together to give the media industry access to high-quality and trusted cloud and AI technologies.
    Announced at NVIDIA GTC Paris at VivaTech, NVIDIA’s collaboration with the EBU — the world’s leading alliance of public service media with more than 110 member organizations in 50+ countries, reaching an audience of over 1 billion — focuses on helping build sovereign AI and cloud frameworks, driving workforce development and cultivating an AI ecosystem to create a more equitable, accessible and resilient European media landscape.
    The work will create better foundations for public service media to benefit from European cloud infrastructure and AI services that are exclusively governed by European policy, comply with European data protection and privacy rules, and embody European values.
    Sovereign AI ensures nations can develop and deploy artificial intelligence using local infrastructure, datasets and expertise. By investing in it, European countries can preserve their cultural identity, enhance public trust and support innovation specific to their needs.
    “We are proud to collaborate with NVIDIA to drive the development of sovereign AI and cloud services,” said Michael Eberhard, chief technology officer of public broadcaster ARD/SWR, and chair of the EBU Technical Committee. “By advancing these capabilities together, we’re helping ensure that powerful, compliant and accessible media services are made available to all EBU members — powering innovation, resilience and strategic autonomy across the board.”

    Empowering Media Innovation in Europe
    To support the development of sovereign AI technologies, NVIDIA and the EBU will establish frameworks that prioritize independence and public trust, helping ensure that AI serves the interests of Europeans while preserving the autonomy of media organizations.
    Through this collaboration, NVIDIA and the EBU will develop hybrid cloud architectures designed to meet the highest standards of European public service media. The EBU will contribute its Dynamic Media Facilityand Media eXchange Layerarchitecture, aiming to enable interoperability and scalability for workflows, as well as cost- and energy-efficient AI training and inference. Following open-source principles, this work aims to create an accessible, dynamic technology ecosystem.
    The collaboration will also provide public service media companies with the tools to deliver personalized, contextually relevant services and content recommendation systems, with a focus on transparency, accountability and cultural identity. This will be realized through investment in sovereign cloud and AI infrastructure and software platforms such as NVIDIA AI Enterprise, custom foundation models, large language models trained with local data, and retrieval-augmented generation technologies.
    As part of the collaboration, NVIDIA is also making available resources from its Deep Learning Institute, offering European media organizations comprehensive training programs to create an AI-ready workforce. This will support the EBU’s efforts to help ensure news integrity in the age of AI.
    In addition, the EBU and its partners are investing in local data centers and cloud platforms that support sovereign technologies, such as NVIDIA GB200 Grace Blackwell Superchip, NVIDIA RTX PRO Servers, NVIDIA DGX Cloud and NVIDIA Holoscan for Media — helping members of the union achieve secure and cost- and energy-efficient AI training, while promoting AI research and development.
    Partnering With Public Service Media for Sovereign Cloud and AI
    Collaboration within the media sector is essential for the development and application of comprehensive standards and best practices that ensure the creation and deployment of sovereign European cloud and AI.
    By engaging with independent software vendors, data center providers, cloud service providers and original equipment manufacturers, NVIDIA and the EBU aim to create a unified approach to sovereign cloud and AI.
    This work will also facilitate discussions between the cloud and AI industry and European regulators, helping ensure the development of practical solutions that benefit both the general public and media organizations.
    “Building sovereign cloud and AI capabilities based on EBU’s Dynamic Media Facility and Media eXchange Layer architecture requires strong cross-industry collaboration,” said Antonio Arcidiacono, chief technology and innovation officer at the EBU. “By collaborating with NVIDIA, as well as a broad ecosystem of media technology partners, we are fostering a shared foundation for trust, innovation and resilience that supports the growth of European media.”
    Learn more about the EBU.
    Watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang at VivaTech, and explore GTC Paris sessions. 
    #european #broadcasting #union #nvidia #partner
    European Broadcasting Union and NVIDIA Partner on Sovereign AI to Support Public Broadcasters
    In a new effort to advance sovereign AI for European public service media, NVIDIA and the European Broadcasting Unionare working together to give the media industry access to high-quality and trusted cloud and AI technologies. Announced at NVIDIA GTC Paris at VivaTech, NVIDIA’s collaboration with the EBU — the world’s leading alliance of public service media with more than 110 member organizations in 50+ countries, reaching an audience of over 1 billion — focuses on helping build sovereign AI and cloud frameworks, driving workforce development and cultivating an AI ecosystem to create a more equitable, accessible and resilient European media landscape. The work will create better foundations for public service media to benefit from European cloud infrastructure and AI services that are exclusively governed by European policy, comply with European data protection and privacy rules, and embody European values. Sovereign AI ensures nations can develop and deploy artificial intelligence using local infrastructure, datasets and expertise. By investing in it, European countries can preserve their cultural identity, enhance public trust and support innovation specific to their needs. “We are proud to collaborate with NVIDIA to drive the development of sovereign AI and cloud services,” said Michael Eberhard, chief technology officer of public broadcaster ARD/SWR, and chair of the EBU Technical Committee. “By advancing these capabilities together, we’re helping ensure that powerful, compliant and accessible media services are made available to all EBU members — powering innovation, resilience and strategic autonomy across the board.” Empowering Media Innovation in Europe To support the development of sovereign AI technologies, NVIDIA and the EBU will establish frameworks that prioritize independence and public trust, helping ensure that AI serves the interests of Europeans while preserving the autonomy of media organizations. Through this collaboration, NVIDIA and the EBU will develop hybrid cloud architectures designed to meet the highest standards of European public service media. The EBU will contribute its Dynamic Media Facilityand Media eXchange Layerarchitecture, aiming to enable interoperability and scalability for workflows, as well as cost- and energy-efficient AI training and inference. Following open-source principles, this work aims to create an accessible, dynamic technology ecosystem. The collaboration will also provide public service media companies with the tools to deliver personalized, contextually relevant services and content recommendation systems, with a focus on transparency, accountability and cultural identity. This will be realized through investment in sovereign cloud and AI infrastructure and software platforms such as NVIDIA AI Enterprise, custom foundation models, large language models trained with local data, and retrieval-augmented generation technologies. As part of the collaboration, NVIDIA is also making available resources from its Deep Learning Institute, offering European media organizations comprehensive training programs to create an AI-ready workforce. This will support the EBU’s efforts to help ensure news integrity in the age of AI. In addition, the EBU and its partners are investing in local data centers and cloud platforms that support sovereign technologies, such as NVIDIA GB200 Grace Blackwell Superchip, NVIDIA RTX PRO Servers, NVIDIA DGX Cloud and NVIDIA Holoscan for Media — helping members of the union achieve secure and cost- and energy-efficient AI training, while promoting AI research and development. Partnering With Public Service Media for Sovereign Cloud and AI Collaboration within the media sector is essential for the development and application of comprehensive standards and best practices that ensure the creation and deployment of sovereign European cloud and AI. By engaging with independent software vendors, data center providers, cloud service providers and original equipment manufacturers, NVIDIA and the EBU aim to create a unified approach to sovereign cloud and AI. This work will also facilitate discussions between the cloud and AI industry and European regulators, helping ensure the development of practical solutions that benefit both the general public and media organizations. “Building sovereign cloud and AI capabilities based on EBU’s Dynamic Media Facility and Media eXchange Layer architecture requires strong cross-industry collaboration,” said Antonio Arcidiacono, chief technology and innovation officer at the EBU. “By collaborating with NVIDIA, as well as a broad ecosystem of media technology partners, we are fostering a shared foundation for trust, innovation and resilience that supports the growth of European media.” Learn more about the EBU. Watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang at VivaTech, and explore GTC Paris sessions.  #european #broadcasting #union #nvidia #partner
    BLOGS.NVIDIA.COM
    European Broadcasting Union and NVIDIA Partner on Sovereign AI to Support Public Broadcasters
    In a new effort to advance sovereign AI for European public service media, NVIDIA and the European Broadcasting Union (EBU) are working together to give the media industry access to high-quality and trusted cloud and AI technologies. Announced at NVIDIA GTC Paris at VivaTech, NVIDIA’s collaboration with the EBU — the world’s leading alliance of public service media with more than 110 member organizations in 50+ countries, reaching an audience of over 1 billion — focuses on helping build sovereign AI and cloud frameworks, driving workforce development and cultivating an AI ecosystem to create a more equitable, accessible and resilient European media landscape. The work will create better foundations for public service media to benefit from European cloud infrastructure and AI services that are exclusively governed by European policy, comply with European data protection and privacy rules, and embody European values. Sovereign AI ensures nations can develop and deploy artificial intelligence using local infrastructure, datasets and expertise. By investing in it, European countries can preserve their cultural identity, enhance public trust and support innovation specific to their needs. “We are proud to collaborate with NVIDIA to drive the development of sovereign AI and cloud services,” said Michael Eberhard, chief technology officer of public broadcaster ARD/SWR, and chair of the EBU Technical Committee. “By advancing these capabilities together, we’re helping ensure that powerful, compliant and accessible media services are made available to all EBU members — powering innovation, resilience and strategic autonomy across the board.” Empowering Media Innovation in Europe To support the development of sovereign AI technologies, NVIDIA and the EBU will establish frameworks that prioritize independence and public trust, helping ensure that AI serves the interests of Europeans while preserving the autonomy of media organizations. Through this collaboration, NVIDIA and the EBU will develop hybrid cloud architectures designed to meet the highest standards of European public service media. The EBU will contribute its Dynamic Media Facility (DMF) and Media eXchange Layer (MXL) architecture, aiming to enable interoperability and scalability for workflows, as well as cost- and energy-efficient AI training and inference. Following open-source principles, this work aims to create an accessible, dynamic technology ecosystem. The collaboration will also provide public service media companies with the tools to deliver personalized, contextually relevant services and content recommendation systems, with a focus on transparency, accountability and cultural identity. This will be realized through investment in sovereign cloud and AI infrastructure and software platforms such as NVIDIA AI Enterprise, custom foundation models, large language models trained with local data, and retrieval-augmented generation technologies. As part of the collaboration, NVIDIA is also making available resources from its Deep Learning Institute, offering European media organizations comprehensive training programs to create an AI-ready workforce. This will support the EBU’s efforts to help ensure news integrity in the age of AI. In addition, the EBU and its partners are investing in local data centers and cloud platforms that support sovereign technologies, such as NVIDIA GB200 Grace Blackwell Superchip, NVIDIA RTX PRO Servers, NVIDIA DGX Cloud and NVIDIA Holoscan for Media — helping members of the union achieve secure and cost- and energy-efficient AI training, while promoting AI research and development. Partnering With Public Service Media for Sovereign Cloud and AI Collaboration within the media sector is essential for the development and application of comprehensive standards and best practices that ensure the creation and deployment of sovereign European cloud and AI. By engaging with independent software vendors, data center providers, cloud service providers and original equipment manufacturers, NVIDIA and the EBU aim to create a unified approach to sovereign cloud and AI. This work will also facilitate discussions between the cloud and AI industry and European regulators, helping ensure the development of practical solutions that benefit both the general public and media organizations. “Building sovereign cloud and AI capabilities based on EBU’s Dynamic Media Facility and Media eXchange Layer architecture requires strong cross-industry collaboration,” said Antonio Arcidiacono, chief technology and innovation officer at the EBU. “By collaborating with NVIDIA, as well as a broad ecosystem of media technology partners, we are fostering a shared foundation for trust, innovation and resilience that supports the growth of European media.” Learn more about the EBU. Watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang at VivaTech, and explore GTC Paris sessions. 
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  • Riot Will Allow Sports-Betting Sponsorships For League Of Legends Esports Teams

    Riot Games has announced that it will begin officially sanctioning sports-betting sponsorships for esports teams in its Tier 1 League of Legends and Valorant leagues. While the company states that it still won't allow advertisements in its official broadcasts, teams themselves will be able to take money from sports-betting companies for advertising through their own channels.In a blog post, President of Publishing and Esports John Needham writes that the move is designed to take advantage of the rapidly growing sports-betting industry and to make esports-related betting more regulated. Seemingly to address concerns and head off potential criticism, Needham explains that the company is authorizing sports-betting sponsorships under a "guardrails first" strategy.These "guardrails," Needham states, are essentially the rules by which any sponsorship must be executed. First, sports-betting companies need to be vetted and approved by Riot itself, although the company has not shared the criteria on which this vetting is done. Second, to ensure that sports-betting companies are on a level playing field, Riot is mandating that official partners all use GRID, the officially sanctioned data platform for League of Legends and Valorant. Third, esports teams must launch and maintain internal integrity programs to protect against violations of league rules due to the influence of sports betting. Fourth and last, Riot will use some of the revenue from these sponsorships to support its Tier 2esports leagues.Continue Reading at GameSpot
    #riot #will #allow #sportsbetting #sponsorships
    Riot Will Allow Sports-Betting Sponsorships For League Of Legends Esports Teams
    Riot Games has announced that it will begin officially sanctioning sports-betting sponsorships for esports teams in its Tier 1 League of Legends and Valorant leagues. While the company states that it still won't allow advertisements in its official broadcasts, teams themselves will be able to take money from sports-betting companies for advertising through their own channels.In a blog post, President of Publishing and Esports John Needham writes that the move is designed to take advantage of the rapidly growing sports-betting industry and to make esports-related betting more regulated. Seemingly to address concerns and head off potential criticism, Needham explains that the company is authorizing sports-betting sponsorships under a "guardrails first" strategy.These "guardrails," Needham states, are essentially the rules by which any sponsorship must be executed. First, sports-betting companies need to be vetted and approved by Riot itself, although the company has not shared the criteria on which this vetting is done. Second, to ensure that sports-betting companies are on a level playing field, Riot is mandating that official partners all use GRID, the officially sanctioned data platform for League of Legends and Valorant. Third, esports teams must launch and maintain internal integrity programs to protect against violations of league rules due to the influence of sports betting. Fourth and last, Riot will use some of the revenue from these sponsorships to support its Tier 2esports leagues.Continue Reading at GameSpot #riot #will #allow #sportsbetting #sponsorships
    WWW.GAMESPOT.COM
    Riot Will Allow Sports-Betting Sponsorships For League Of Legends Esports Teams
    Riot Games has announced that it will begin officially sanctioning sports-betting sponsorships for esports teams in its Tier 1 League of Legends and Valorant leagues. While the company states that it still won't allow advertisements in its official broadcasts, teams themselves will be able to take money from sports-betting companies for advertising through their own channels.In a blog post, President of Publishing and Esports John Needham writes that the move is designed to take advantage of the rapidly growing sports-betting industry and to make esports-related betting more regulated. Seemingly to address concerns and head off potential criticism, Needham explains that the company is authorizing sports-betting sponsorships under a "guardrails first" strategy.These "guardrails," Needham states, are essentially the rules by which any sponsorship must be executed. First, sports-betting companies need to be vetted and approved by Riot itself, although the company has not shared the criteria on which this vetting is done. Second, to ensure that sports-betting companies are on a level playing field, Riot is mandating that official partners all use GRID, the officially sanctioned data platform for League of Legends and Valorant. Third, esports teams must launch and maintain internal integrity programs to protect against violations of league rules due to the influence of sports betting. Fourth and last, Riot will use some of the revenue from these sponsorships to support its Tier 2 (lower division) esports leagues.Continue Reading at GameSpot
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  • NVIDIA and Partners Highlight Next-Generation Robotics, Automation and AI Technologies at Automatica

    From the heart of Germany’s automotive sector to manufacturing hubs across France and Italy, Europe is embracing industrial AI and advanced AI-powered robotics to address labor shortages, boost productivity and fuel sustainable economic growth.
    Robotics companies are developing humanoid robots and collaborative systems that integrate AI into real-world manufacturing applications. Supported by a billion investment initiative and coordinated efforts from the European Commission, Europe is positioning itself at the forefront of the next wave of industrial automation, powered by AI.
    This momentum is on full display at Automatica — Europe’s premier conference on advancements in robotics, machine vision and intelligent manufacturing — taking place this week in Munich, Germany.
    NVIDIA and its ecosystem of partners and customers are showcasing next-generation robots, automation and AI technologies designed to accelerate the continent’s leadership in smart manufacturing and logistics.
    NVIDIA Technologies Boost Robotics Development 
    Central to advancing robotics development is Europe’s first industrial AI cloud, announced at NVIDIA GTC Paris at VivaTech earlier this month. The Germany-based AI factory, featuring 10,000 NVIDIA GPUs, provides European manufacturers with secure, sovereign and centralized AI infrastructure for industrial workloads. It will support applications ranging from design and engineering to factory digital twins and robotics.
    To help accelerate humanoid development, NVIDIA released NVIDIA Isaac GR00T N1.5 — an open foundation model for humanoid robot reasoning and skills. This update enhances the model’s adaptability and ability to follow instructions, significantly improving its performance in material handling and manufacturing tasks.
    To help post-train GR00T N1.5, NVIDIA has also released the Isaac GR00T-Dreams blueprint — a reference workflow for generating vast amounts of synthetic trajectory data from a small number of human demonstrations — enabling robots to generalize across behaviors and adapt to new environments with minimal human demonstration data.
    In addition, early developer previews of NVIDIA Isaac Sim 5.0 and Isaac Lab 2.2 — open-source robot simulation and learning frameworks optimized for NVIDIA RTX PRO 6000 workstations — are now available on GitHub.
    Image courtesy of Wandelbots.
    Robotics Leaders Tap NVIDIA Simulation Technology to Develop and Deploy Humanoids and More 
    Robotics developers and solutions providers across the globe are integrating NVIDIA’s three computers to train, simulate and deploy robots.
    NEURA Robotics, a German robotics company and pioneer for cognitive robots, unveiled the third generation of its humanoid, 4NE1, designed to assist humans in domestic and professional environments through advanced cognitive capabilities and humanlike interaction. 4NE1 is powered by GR00T N1 and was trained in Isaac Sim and Isaac Lab before real-world deployment.
    NEURA Robotics is also presenting Neuraverse, a digital twin and interconnected ecosystem for robot training, skills and applications, fully compatible with NVIDIA Omniverse technologies.
    Delta Electronics, a global leader in power management and smart green solutions, is debuting two next-generation collaborative robots: D-Bot Mar and D-Bot 2 in 1 — both trained using Omniverse and Isaac Sim technologies and libraries. These cobots are engineered to transform intralogistics and optimize production flows.
    Wandelbots, the creator of the Wandelbots NOVA software platform for industrial robotics, is partnering with SoftServe, a global IT consulting and digital services provider, to scale simulation-first automating using NVIDIA Isaac Sim, enabling virtual validation and real-world deployment with maximum impact.
    Cyngn, a pioneer in autonomous mobile robotics, is integrating its DriveMod technology into Isaac Sim to enable large-scale, high fidelity virtual testing of advanced autonomous operation. Purpose-built for industrial applications, DriveMod is already deployed on vehicles such as the Motrec MT-160 Tugger and BYD Forklift, delivering sophisticated automation to material handling operations.
    Doosan Robotics, a company specializing in AI robotic solutions, will showcase its “sim to real” solution, using NVIDIA Isaac Sim and cuRobo. Doosan will be showcasing how to seamlessly transfer tasks from simulation to real robots across a wide range of applications — from manufacturing to service industries.
    Franka Robotics has integrated Isaac GR00T N1.5 into a dual-arm Franka Research 3robot for robotic control. The integration of GR00T N1.5 allows the system to interpret visual input, understand task context and autonomously perform complex manipulation — without the need for task-specific programming or hardcoded logic.
    Image courtesy of Franka Robotics.
    Hexagon, the global leader in measurement technologies, launched its new humanoid, dubbed AEON. With its unique locomotion system and multimodal sensor fusion, and powered by NVIDIA’s three-computer solution, AEON is engineered to perform a wide range of industrial applications, from manipulation and asset inspection to reality capture and operator support.
    Intrinsic, a software and AI robotics company, is integrating Intrinsic Flowstate with  Omniverse and OpenUSD for advanced visualization and digital twins that can be used in many industrial use cases. The company is also using NVIDIA foundation models to enhance robot capabilities like grasp planning through AI and simulation technologies.
    SCHUNK, a global leader in gripping systems and automation technology, is showcasing its innovative grasping kit powered by the NVIDIA Jetson AGX Orin module. The kit intelligently detects objects and calculates optimal grasping points. Schunk is also demonstrating seamless simulation-to-reality transfer using IGS Virtuous software — built on Omniverse technologies — to control a real robot through simulation in a pick-and-place scenario.
    Universal Robots is showcasing UR15, its fastest cobot yet. Powered by the UR AI Accelerator — developed with NVIDIA and running on Jetson AGX Orin using CUDA-accelerated Isaac libraries — UR15 helps set a new standard for industrial automation.

    Vention, a full-stack software and hardware automation company, launched its Machine Motion AI, built on CUDA-accelerated Isaac libraries and powered by Jetson. Vention is also expanding its lineup of robotic offerings by adding the FR3 robot from Franka Robotics to its ecosystem, enhancing its solutions for academic and research applications.
    Image courtesy of Vention.
    Learn more about the latest robotics advancements by joining NVIDIA at Automatica, running through Friday, June 27. 
    #nvidia #partners #highlight #nextgeneration #robotics
    NVIDIA and Partners Highlight Next-Generation Robotics, Automation and AI Technologies at Automatica
    From the heart of Germany’s automotive sector to manufacturing hubs across France and Italy, Europe is embracing industrial AI and advanced AI-powered robotics to address labor shortages, boost productivity and fuel sustainable economic growth. Robotics companies are developing humanoid robots and collaborative systems that integrate AI into real-world manufacturing applications. Supported by a billion investment initiative and coordinated efforts from the European Commission, Europe is positioning itself at the forefront of the next wave of industrial automation, powered by AI. This momentum is on full display at Automatica — Europe’s premier conference on advancements in robotics, machine vision and intelligent manufacturing — taking place this week in Munich, Germany. NVIDIA and its ecosystem of partners and customers are showcasing next-generation robots, automation and AI technologies designed to accelerate the continent’s leadership in smart manufacturing and logistics. NVIDIA Technologies Boost Robotics Development  Central to advancing robotics development is Europe’s first industrial AI cloud, announced at NVIDIA GTC Paris at VivaTech earlier this month. The Germany-based AI factory, featuring 10,000 NVIDIA GPUs, provides European manufacturers with secure, sovereign and centralized AI infrastructure for industrial workloads. It will support applications ranging from design and engineering to factory digital twins and robotics. To help accelerate humanoid development, NVIDIA released NVIDIA Isaac GR00T N1.5 — an open foundation model for humanoid robot reasoning and skills. This update enhances the model’s adaptability and ability to follow instructions, significantly improving its performance in material handling and manufacturing tasks. To help post-train GR00T N1.5, NVIDIA has also released the Isaac GR00T-Dreams blueprint — a reference workflow for generating vast amounts of synthetic trajectory data from a small number of human demonstrations — enabling robots to generalize across behaviors and adapt to new environments with minimal human demonstration data. In addition, early developer previews of NVIDIA Isaac Sim 5.0 and Isaac Lab 2.2 — open-source robot simulation and learning frameworks optimized for NVIDIA RTX PRO 6000 workstations — are now available on GitHub. Image courtesy of Wandelbots. Robotics Leaders Tap NVIDIA Simulation Technology to Develop and Deploy Humanoids and More  Robotics developers and solutions providers across the globe are integrating NVIDIA’s three computers to train, simulate and deploy robots. NEURA Robotics, a German robotics company and pioneer for cognitive robots, unveiled the third generation of its humanoid, 4NE1, designed to assist humans in domestic and professional environments through advanced cognitive capabilities and humanlike interaction. 4NE1 is powered by GR00T N1 and was trained in Isaac Sim and Isaac Lab before real-world deployment. NEURA Robotics is also presenting Neuraverse, a digital twin and interconnected ecosystem for robot training, skills and applications, fully compatible with NVIDIA Omniverse technologies. Delta Electronics, a global leader in power management and smart green solutions, is debuting two next-generation collaborative robots: D-Bot Mar and D-Bot 2 in 1 — both trained using Omniverse and Isaac Sim technologies and libraries. These cobots are engineered to transform intralogistics and optimize production flows. Wandelbots, the creator of the Wandelbots NOVA software platform for industrial robotics, is partnering with SoftServe, a global IT consulting and digital services provider, to scale simulation-first automating using NVIDIA Isaac Sim, enabling virtual validation and real-world deployment with maximum impact. Cyngn, a pioneer in autonomous mobile robotics, is integrating its DriveMod technology into Isaac Sim to enable large-scale, high fidelity virtual testing of advanced autonomous operation. Purpose-built for industrial applications, DriveMod is already deployed on vehicles such as the Motrec MT-160 Tugger and BYD Forklift, delivering sophisticated automation to material handling operations. Doosan Robotics, a company specializing in AI robotic solutions, will showcase its “sim to real” solution, using NVIDIA Isaac Sim and cuRobo. Doosan will be showcasing how to seamlessly transfer tasks from simulation to real robots across a wide range of applications — from manufacturing to service industries. Franka Robotics has integrated Isaac GR00T N1.5 into a dual-arm Franka Research 3robot for robotic control. The integration of GR00T N1.5 allows the system to interpret visual input, understand task context and autonomously perform complex manipulation — without the need for task-specific programming or hardcoded logic. Image courtesy of Franka Robotics. Hexagon, the global leader in measurement technologies, launched its new humanoid, dubbed AEON. With its unique locomotion system and multimodal sensor fusion, and powered by NVIDIA’s three-computer solution, AEON is engineered to perform a wide range of industrial applications, from manipulation and asset inspection to reality capture and operator support. Intrinsic, a software and AI robotics company, is integrating Intrinsic Flowstate with  Omniverse and OpenUSD for advanced visualization and digital twins that can be used in many industrial use cases. The company is also using NVIDIA foundation models to enhance robot capabilities like grasp planning through AI and simulation technologies. SCHUNK, a global leader in gripping systems and automation technology, is showcasing its innovative grasping kit powered by the NVIDIA Jetson AGX Orin module. The kit intelligently detects objects and calculates optimal grasping points. Schunk is also demonstrating seamless simulation-to-reality transfer using IGS Virtuous software — built on Omniverse technologies — to control a real robot through simulation in a pick-and-place scenario. Universal Robots is showcasing UR15, its fastest cobot yet. Powered by the UR AI Accelerator — developed with NVIDIA and running on Jetson AGX Orin using CUDA-accelerated Isaac libraries — UR15 helps set a new standard for industrial automation. Vention, a full-stack software and hardware automation company, launched its Machine Motion AI, built on CUDA-accelerated Isaac libraries and powered by Jetson. Vention is also expanding its lineup of robotic offerings by adding the FR3 robot from Franka Robotics to its ecosystem, enhancing its solutions for academic and research applications. Image courtesy of Vention. Learn more about the latest robotics advancements by joining NVIDIA at Automatica, running through Friday, June 27.  #nvidia #partners #highlight #nextgeneration #robotics
    BLOGS.NVIDIA.COM
    NVIDIA and Partners Highlight Next-Generation Robotics, Automation and AI Technologies at Automatica
    From the heart of Germany’s automotive sector to manufacturing hubs across France and Italy, Europe is embracing industrial AI and advanced AI-powered robotics to address labor shortages, boost productivity and fuel sustainable economic growth. Robotics companies are developing humanoid robots and collaborative systems that integrate AI into real-world manufacturing applications. Supported by a $200 billion investment initiative and coordinated efforts from the European Commission, Europe is positioning itself at the forefront of the next wave of industrial automation, powered by AI. This momentum is on full display at Automatica — Europe’s premier conference on advancements in robotics, machine vision and intelligent manufacturing — taking place this week in Munich, Germany. NVIDIA and its ecosystem of partners and customers are showcasing next-generation robots, automation and AI technologies designed to accelerate the continent’s leadership in smart manufacturing and logistics. NVIDIA Technologies Boost Robotics Development  Central to advancing robotics development is Europe’s first industrial AI cloud, announced at NVIDIA GTC Paris at VivaTech earlier this month. The Germany-based AI factory, featuring 10,000 NVIDIA GPUs, provides European manufacturers with secure, sovereign and centralized AI infrastructure for industrial workloads. It will support applications ranging from design and engineering to factory digital twins and robotics. To help accelerate humanoid development, NVIDIA released NVIDIA Isaac GR00T N1.5 — an open foundation model for humanoid robot reasoning and skills. This update enhances the model’s adaptability and ability to follow instructions, significantly improving its performance in material handling and manufacturing tasks. To help post-train GR00T N1.5, NVIDIA has also released the Isaac GR00T-Dreams blueprint — a reference workflow for generating vast amounts of synthetic trajectory data from a small number of human demonstrations — enabling robots to generalize across behaviors and adapt to new environments with minimal human demonstration data. In addition, early developer previews of NVIDIA Isaac Sim 5.0 and Isaac Lab 2.2 — open-source robot simulation and learning frameworks optimized for NVIDIA RTX PRO 6000 workstations — are now available on GitHub. Image courtesy of Wandelbots. Robotics Leaders Tap NVIDIA Simulation Technology to Develop and Deploy Humanoids and More  Robotics developers and solutions providers across the globe are integrating NVIDIA’s three computers to train, simulate and deploy robots. NEURA Robotics, a German robotics company and pioneer for cognitive robots, unveiled the third generation of its humanoid, 4NE1, designed to assist humans in domestic and professional environments through advanced cognitive capabilities and humanlike interaction. 4NE1 is powered by GR00T N1 and was trained in Isaac Sim and Isaac Lab before real-world deployment. NEURA Robotics is also presenting Neuraverse, a digital twin and interconnected ecosystem for robot training, skills and applications, fully compatible with NVIDIA Omniverse technologies. Delta Electronics, a global leader in power management and smart green solutions, is debuting two next-generation collaborative robots: D-Bot Mar and D-Bot 2 in 1 — both trained using Omniverse and Isaac Sim technologies and libraries. These cobots are engineered to transform intralogistics and optimize production flows. Wandelbots, the creator of the Wandelbots NOVA software platform for industrial robotics, is partnering with SoftServe, a global IT consulting and digital services provider, to scale simulation-first automating using NVIDIA Isaac Sim, enabling virtual validation and real-world deployment with maximum impact. Cyngn, a pioneer in autonomous mobile robotics, is integrating its DriveMod technology into Isaac Sim to enable large-scale, high fidelity virtual testing of advanced autonomous operation. Purpose-built for industrial applications, DriveMod is already deployed on vehicles such as the Motrec MT-160 Tugger and BYD Forklift, delivering sophisticated automation to material handling operations. Doosan Robotics, a company specializing in AI robotic solutions, will showcase its “sim to real” solution, using NVIDIA Isaac Sim and cuRobo. Doosan will be showcasing how to seamlessly transfer tasks from simulation to real robots across a wide range of applications — from manufacturing to service industries. Franka Robotics has integrated Isaac GR00T N1.5 into a dual-arm Franka Research 3 (FR3) robot for robotic control. The integration of GR00T N1.5 allows the system to interpret visual input, understand task context and autonomously perform complex manipulation — without the need for task-specific programming or hardcoded logic. Image courtesy of Franka Robotics. Hexagon, the global leader in measurement technologies, launched its new humanoid, dubbed AEON. With its unique locomotion system and multimodal sensor fusion, and powered by NVIDIA’s three-computer solution, AEON is engineered to perform a wide range of industrial applications, from manipulation and asset inspection to reality capture and operator support. Intrinsic, a software and AI robotics company, is integrating Intrinsic Flowstate with  Omniverse and OpenUSD for advanced visualization and digital twins that can be used in many industrial use cases. The company is also using NVIDIA foundation models to enhance robot capabilities like grasp planning through AI and simulation technologies. SCHUNK, a global leader in gripping systems and automation technology, is showcasing its innovative grasping kit powered by the NVIDIA Jetson AGX Orin module. The kit intelligently detects objects and calculates optimal grasping points. Schunk is also demonstrating seamless simulation-to-reality transfer using IGS Virtuous software — built on Omniverse technologies — to control a real robot through simulation in a pick-and-place scenario. Universal Robots is showcasing UR15, its fastest cobot yet. Powered by the UR AI Accelerator — developed with NVIDIA and running on Jetson AGX Orin using CUDA-accelerated Isaac libraries — UR15 helps set a new standard for industrial automation. Vention, a full-stack software and hardware automation company, launched its Machine Motion AI, built on CUDA-accelerated Isaac libraries and powered by Jetson. Vention is also expanding its lineup of robotic offerings by adding the FR3 robot from Franka Robotics to its ecosystem, enhancing its solutions for academic and research applications. Image courtesy of Vention. Learn more about the latest robotics advancements by joining NVIDIA at Automatica, running through Friday, June 27. 
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