• New Book Takes Inspiration from Stardew Valley

    A newly-released novel is shouting not only Stardew Valley but the game's solo developer, ConcernedApe, as a source of major inspiration for the book. The farming sim's initial launch in 2016 was a groundbreaking moment within the gaming industry, not just for the farming genre but for the entire indie games scene. Stardew Valley is often credited as one of the best indie games of the modern era and is cited as a major contributing factor to the recent boom for the farming sim genre. Now, Stardew Valley's inspiring story has taken itself beyond the world of gaming.
    #new #book #takes #inspiration #stardew
    New Book Takes Inspiration from Stardew Valley
    A newly-released novel is shouting not only Stardew Valley but the game's solo developer, ConcernedApe, as a source of major inspiration for the book. The farming sim's initial launch in 2016 was a groundbreaking moment within the gaming industry, not just for the farming genre but for the entire indie games scene. Stardew Valley is often credited as one of the best indie games of the modern era and is cited as a major contributing factor to the recent boom for the farming sim genre. Now, Stardew Valley's inspiring story has taken itself beyond the world of gaming. #new #book #takes #inspiration #stardew
    GAMERANT.COM
    New Book Takes Inspiration from Stardew Valley
    A newly-released novel is shouting not only Stardew Valley but the game's solo developer, ConcernedApe, as a source of major inspiration for the book. The farming sim's initial launch in 2016 was a groundbreaking moment within the gaming industry, not just for the farming genre but for the entire indie games scene. Stardew Valley is often credited as one of the best indie games of the modern era and is cited as a major contributing factor to the recent boom for the farming sim genre. Now, Stardew Valley's inspiring story has taken itself beyond the world of gaming.
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  • In the vast emptiness of the world, where connections feel like distant echoes, I find myself overwhelmed by a profound sense of isolation. Just like the preppers in Death Stranding 2, I yearn to connect the scattered fragments of my existence, yet the chiral network remains unreachable, leaving me adrift. Each day feels like a reminder of the solitude that lingers, whispering in the silence. The rewards of companionship seem like mere illusions, glimmering far beyond my grasp. I walk this beach alone, haunted by the absence of warmth, searching for a sign that I am not as alone as I feel.

    #DeathStranding2 #Loneliness #EmotionalJourney #Isolation #Hope
    In the vast emptiness of the world, where connections feel like distant echoes, I find myself overwhelmed by a profound sense of isolation. Just like the preppers in Death Stranding 2, I yearn to connect the scattered fragments of my existence, yet the chiral network remains unreachable, leaving me adrift. Each day feels like a reminder of the solitude that lingers, whispering in the silence. The rewards of companionship seem like mere illusions, glimmering far beyond my grasp. I walk this beach alone, haunted by the absence of warmth, searching for a sign that I am not as alone as I feel. 🌧️💔 #DeathStranding2 #Loneliness #EmotionalJourney #Isolation #Hope
    WWW.ACTUGAMING.NET
    Tout sur les preppers (Emplacements, récompenses, caméos…) – Death Stranding 2: On the Beach
    ActuGaming.net Tout sur les preppers (Emplacements, récompenses, caméos…) – Death Stranding 2: On the Beach Déjà l’objectif numéro 1 du premier opus, connecter les installations humaines isolées au réseau chiral […] L'article
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  • Wow! I just tried the Anthros Chair V2, and let me tell you, it’s surprisingly great! This might just be the most supportive office chair I’ve ever sat on! Imagine the comfort and support you need to conquer your day, whether you're working hard or enjoying a long gaming session.

    Every time I sit in this chair, I feel like I can achieve anything! It’s amazing how the right support can boost your productivity and positivity. So, why not treat yourself to the comfort you deserve? You’ve got this!

    #AnthrosChair #OfficeComfort #ProductivityBoost #StayPositive #Inspiration
    ✨ Wow! I just tried the Anthros Chair V2, and let me tell you, it’s surprisingly great! 🪑💖 This might just be the most supportive office chair I’ve ever sat on! Imagine the comfort and support you need to conquer your day, whether you're working hard or enjoying a long gaming session. 🌟 Every time I sit in this chair, I feel like I can achieve anything! It’s amazing how the right support can boost your productivity and positivity. So, why not treat yourself to the comfort you deserve? You’ve got this! 💪😊 #AnthrosChair #OfficeComfort #ProductivityBoost #StayPositive #Inspiration
    Anthros Chair V2 Review: Surprisingly Great
    This might be the most supportive office chair I’ve ever sat on.
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  • Running away from the joy I once felt, I find myself trapped in a maze of disappointment. Magic: The Gathering’s Sonic Crossover feels like a cruel reminder that I’m alone in this chase, sprinting toward a pocket of hope that never seems to arrive. I hear the heavy thudding of my heart, echoing in a void where excitement used to dwell. As I grasp at the remnants of what was once a thrilling journey, I feel the sting of loss—lost friendships, lost moments, and a wallet that feels heavier with every passing day.

    #MagicTheGathering #SonicCrossover #Heartbreak #Loneliness #ChasingDreams
    Running away from the joy I once felt, I find myself trapped in a maze of disappointment. Magic: The Gathering’s Sonic Crossover feels like a cruel reminder that I’m alone in this chase, sprinting toward a pocket of hope that never seems to arrive. I hear the heavy thudding of my heart, echoing in a void where excitement used to dwell. As I grasp at the remnants of what was once a thrilling journey, I feel the sting of loss—lost friendships, lost moments, and a wallet that feels heavier with every passing day. 💔 #MagicTheGathering #SonicCrossover #Heartbreak #Loneliness #ChasingDreams
    KOTAKU.COM
    Magic: The Gathering’s Sonic Crossover Is Running Toward My Wallet At The Speed Of Sound
    You hear that? The heavy thudding sound of someone running for their lives? Running around at the speed of sound, perhaps? Maybe this person, sprinting as far as their body can carry them, has places to go and has to follow his rainbow? That person i
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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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  • Kotaku’s Weekend Guide: Bid Farewell To June With 5 Great Games

    Wow. Where did June go? Well, it’s nearly over. Still, happy Pride to all of my comrades in the acronym. It sucks out there right now for us for sure. Perhaps you find yourself with a heavy and worried heart at the end of this historic month? I know I do.Read more...
    Kotaku’s Weekend Guide: Bid Farewell To June With 5 Great Games Wow. Where did June go? Well, it’s nearly over. Still, happy Pride to all of my comrades in the acronym. It sucks out there right now for us for sure. Perhaps you find yourself with a heavy and worried heart at the end of this historic month? I know I do.Read more...
    KOTAKU.COM
    Kotaku’s Weekend Guide: Bid Farewell To June With 5 Great Games
    Wow. Where did June go? Well, it’s nearly over. Still, happy Pride to all of my comrades in the acronym. It sucks out there right now for us for sure. Perhaps you find yourself with a heavy and worried heart at the end of this historic month? I know
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  • Blue Prince Doesn't Have A Satisfying Ending, But That's The Point

    Warning! We're about to go into deep endgame spoilers for Blue Prince, well beyond rolling the credits by reaching Room 46. Read on at your own risk.I had been playing Blue Prince for more than 100 hours before I felt like I truly understood what the game was really about.The revelation came in the form of a journal entry, secreted away in a safety deposit box, hidden within the sometimes tough-to-access vault of the strange and shifting Mount Holly Manor. Reaching the paper requires solving one of Blue Prince's toughest, most obtuse, and most rewarding puzzles, one you won't even realize exists until you've broken through riddle after riddle and uncovered mystery after mystery. It recontextualizes everything that has come before it, not only the winding and involved test of wits that is the manor itself, but the story that had to be similarly excavated along the way--one of political intrigue and family tragedy, the rising and falling of kingdoms, the stoking of revolution, and the sacrifice necessary to breathe life into ideals.Continue Reading at GameSpot
    #blue #prince #doesn039t #have #satisfying
    Blue Prince Doesn't Have A Satisfying Ending, But That's The Point
    Warning! We're about to go into deep endgame spoilers for Blue Prince, well beyond rolling the credits by reaching Room 46. Read on at your own risk.I had been playing Blue Prince for more than 100 hours before I felt like I truly understood what the game was really about.The revelation came in the form of a journal entry, secreted away in a safety deposit box, hidden within the sometimes tough-to-access vault of the strange and shifting Mount Holly Manor. Reaching the paper requires solving one of Blue Prince's toughest, most obtuse, and most rewarding puzzles, one you won't even realize exists until you've broken through riddle after riddle and uncovered mystery after mystery. It recontextualizes everything that has come before it, not only the winding and involved test of wits that is the manor itself, but the story that had to be similarly excavated along the way--one of political intrigue and family tragedy, the rising and falling of kingdoms, the stoking of revolution, and the sacrifice necessary to breathe life into ideals.Continue Reading at GameSpot #blue #prince #doesn039t #have #satisfying
    WWW.GAMESPOT.COM
    Blue Prince Doesn't Have A Satisfying Ending, But That's The Point
    Warning! We're about to go into deep endgame spoilers for Blue Prince, well beyond rolling the credits by reaching Room 46. Read on at your own risk.I had been playing Blue Prince for more than 100 hours before I felt like I truly understood what the game was really about.The revelation came in the form of a journal entry, secreted away in a safety deposit box, hidden within the sometimes tough-to-access vault of the strange and shifting Mount Holly Manor. Reaching the paper requires solving one of Blue Prince's toughest, most obtuse, and most rewarding puzzles, one you won't even realize exists until you've broken through riddle after riddle and uncovered mystery after mystery. It recontextualizes everything that has come before it, not only the winding and involved test of wits that is the manor itself, but the story that had to be similarly excavated along the way--one of political intrigue and family tragedy, the rising and falling of kingdoms, the stoking of revolution, and the sacrifice necessary to breathe life into ideals.Continue Reading at GameSpot
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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 CEO Drops the Blueprint for Europe’s AI Boom

    At GTC Paris — held alongside VivaTech, Europe’s largest tech event — NVIDIA founder and CEO Jensen Huang delivered a clear message: Europe isn’t just adopting AI — it’s building it.
    “We now have a new industry, an AI industry, and it’s now part of the new infrastructure, called intelligence infrastructure, that will be used by every country, every society,” Huang said, addressing an audience gathered online and at the iconic Dôme de Paris.
    From exponential inference growth to quantum breakthroughs, and from infrastructure to industry, agentic AI to robotics, Huang outlined how the region is laying the groundwork for an AI-powered future.

    A New Industrial Revolution
    At the heart of this transformation, Huang explained, are systems like GB200 NVL72 — “one giant GPU” and NVIDIA’s most powerful AI platform yet — now in full production and powering everything from sovereign models to quantum computing.
    “This machine was designed to be a thinking machine, a thinking machine, in the sense that it reasons, it plans, it spends a lot of time talking to itself,” Huang said, walking the audience through the size and scale of these machines and their performance.
    At GTC Paris, Huang showed audience members the innards of some of NVIDIA’s latest hardware.
    There’s more coming, with Huang saying NVIDIA’s partners are now producing 1,000 GB200 systems a week, “and this is just the beginning.” He walked the audience through a range of available systems ranging from the tiny NVIDIA DGX Spark to rack-mounted RTX PRO Servers.
    Huang explained that NVIDIA is working to help countries use technologies like these to build both AI infrastructure — services built for third parties to use and innovate on — and AI factories, which companies build for their own use, to generate revenue.
    NVIDIA is partnering with European governments, telcos and cloud providers to deploy NVIDIA technologies across the region. NVIDIA is also expanding its network of technology centers across Europe — including new hubs in Finland, Germany, Spain, Italy and the U.K. — to accelerate skills development and quantum growth.
    Quantum Meets Classical
    Europe’s quantum ambitions just got a boost.
    The NVIDIA CUDA-Q platform is live on Denmark’s Gefion supercomputer, opening new possibilities for hybrid AI and quantum engineering. In addition, Huang announced that CUDA-Q is now available on NVIDIA Grace Blackwell systems.
    Across the continent, NVIDIA is partnering with supercomputing centers and quantum hardware builders to advance hybrid quantum-AI research and accelerate quantum error correction.
    “Quantum computing is reaching an inflection point,” Huang said. “We are within reach of being able to apply quantum computing, quantum classical computing, in areas that can solve some interesting problems in the coming years.”
    Sovereign Models, Smarter Agents
    European developers want more control over their models. Enter NVIDIA Nemotron, designed to help build large language models tuned to local needs.
    “And so now you know that you have access to an enhanced open model that is still open, that is top of the leader chart,” Huang said.
    These models will be coming to Perplexity, a reasoning search engine, enabling secure, multilingual AI deployment across Europe.
    “You can now ask and get questions answered in the language, in the culture, in the sensibility of your country,” Huang said.
    Huang explained how NVIDIA is helping countries across Europe build AI infrastructure.
    Every company will build its own agents, Huang said. To help create those agents, Huang introduced a suite of agentic AI blueprints, including an Agentic AI Safety blueprint for enterprises and governments.
    The new NVIDIA NeMo Agent toolkit and NVIDIA AI Blueprint for building data flywheels further accelerate the development of safe, high-performing AI agents.
    To help deploy these agents, NVIDIA is partnering with European governments, telcos and cloud providers to deploy the DGX Cloud Lepton platform across the region, providing instant access to accelerated computing capacity.
    “One model architecture, one deployment, and you can run it anywhere,” Huang said, adding that Lepton is now integrated with Hugging Face, giving developers direct access to global compute.
    The Industrial Cloud Goes Live
    AI isn’t just virtual. It’s powering physical systems, too, sparking a new industrial revolution.
    “We’re working on industrial AI with one company after another,” Huang said, describing work to build digital twins based on the NVIDIA Omniverse platform with companies across the continent.
    Huang explained that everything he showed during his keynote was “computer simulation, not animation” and that it looks beautiful because “it turns out the world is beautiful, and it turns out math is beautiful.”
    To further this work, Huang announced NVIDIA is launching the world’s first industrial AI cloud — to be built in Germany — to help Europe’s manufacturers simulate, automate and optimize at scale.
    “Soon, everything that moves will be robotic,” Huang said. “And the car is the next one.”
    NVIDIA DRIVE, NVIDIA’s full-stack AV platform, is now in production to accelerate the large-scale deployment of safe, intelligent transportation.
    And to show what’s coming next, Huang was joined on stage by Grek, a pint-sized robot, as Huang talked about how NVIDIA partnered with DeepMind and Disney to build Newton, the world’s most advanced physics training engine for robotics.
    The Next Wave
    The next wave of AI has begun — and it’s exponential, Huang explained.
    “We have physical robots, and we have information robots. We call them agents,” Huang said. “The technology necessary to teach a robot to manipulate, to simulate — and of course, the manifestation of an incredible robot — is now right in front of us.”
    This new era of AI is being driven by a surge in inference workloads. “The number of people using inference has gone from 8 million to 800 million — 100x in just a couple of years,” Huang said.
    To meet this demand, Huang emphasized the need for a new kind of computer: “We need a special computer designed for thinking, designed for reasoning. And that’s what Blackwell is — a thinking machine.”
    Huang and Grek, as he explained how AI is driving advancements in robotics.
    These Blackwell-powered systems will live in a new class of data centers — AI factories — built to generate tokens, the raw material of modern intelligence.
    “These AI factories are going to generate tokens,” Huang said, turning to Grek with a smile. “And these tokens are going to become your food, little Grek.”
    With that, the keynote closed on a bold vision: a future powered by sovereign infrastructure, agentic AI, robotics — and exponential inference — all built in partnership with Europe.
    Watch the NVIDIA GTC Paris keynote from Huang at VivaTech and explore GTC Paris sessions.
    #nvidia #ceo #drops #blueprint #europes
    NVIDIA CEO Drops the Blueprint for Europe’s AI Boom
    At GTC Paris — held alongside VivaTech, Europe’s largest tech event — NVIDIA founder and CEO Jensen Huang delivered a clear message: Europe isn’t just adopting AI — it’s building it. “We now have a new industry, an AI industry, and it’s now part of the new infrastructure, called intelligence infrastructure, that will be used by every country, every society,” Huang said, addressing an audience gathered online and at the iconic Dôme de Paris. From exponential inference growth to quantum breakthroughs, and from infrastructure to industry, agentic AI to robotics, Huang outlined how the region is laying the groundwork for an AI-powered future. A New Industrial Revolution At the heart of this transformation, Huang explained, are systems like GB200 NVL72 — “one giant GPU” and NVIDIA’s most powerful AI platform yet — now in full production and powering everything from sovereign models to quantum computing. “This machine was designed to be a thinking machine, a thinking machine, in the sense that it reasons, it plans, it spends a lot of time talking to itself,” Huang said, walking the audience through the size and scale of these machines and their performance. At GTC Paris, Huang showed audience members the innards of some of NVIDIA’s latest hardware. There’s more coming, with Huang saying NVIDIA’s partners are now producing 1,000 GB200 systems a week, “and this is just the beginning.” He walked the audience through a range of available systems ranging from the tiny NVIDIA DGX Spark to rack-mounted RTX PRO Servers. Huang explained that NVIDIA is working to help countries use technologies like these to build both AI infrastructure — services built for third parties to use and innovate on — and AI factories, which companies build for their own use, to generate revenue. NVIDIA is partnering with European governments, telcos and cloud providers to deploy NVIDIA technologies across the region. NVIDIA is also expanding its network of technology centers across Europe — including new hubs in Finland, Germany, Spain, Italy and the U.K. — to accelerate skills development and quantum growth. Quantum Meets Classical Europe’s quantum ambitions just got a boost. The NVIDIA CUDA-Q platform is live on Denmark’s Gefion supercomputer, opening new possibilities for hybrid AI and quantum engineering. In addition, Huang announced that CUDA-Q is now available on NVIDIA Grace Blackwell systems. Across the continent, NVIDIA is partnering with supercomputing centers and quantum hardware builders to advance hybrid quantum-AI research and accelerate quantum error correction. “Quantum computing is reaching an inflection point,” Huang said. “We are within reach of being able to apply quantum computing, quantum classical computing, in areas that can solve some interesting problems in the coming years.” Sovereign Models, Smarter Agents European developers want more control over their models. Enter NVIDIA Nemotron, designed to help build large language models tuned to local needs. “And so now you know that you have access to an enhanced open model that is still open, that is top of the leader chart,” Huang said. These models will be coming to Perplexity, a reasoning search engine, enabling secure, multilingual AI deployment across Europe. “You can now ask and get questions answered in the language, in the culture, in the sensibility of your country,” Huang said. Huang explained how NVIDIA is helping countries across Europe build AI infrastructure. Every company will build its own agents, Huang said. To help create those agents, Huang introduced a suite of agentic AI blueprints, including an Agentic AI Safety blueprint for enterprises and governments. The new NVIDIA NeMo Agent toolkit and NVIDIA AI Blueprint for building data flywheels further accelerate the development of safe, high-performing AI agents. To help deploy these agents, NVIDIA is partnering with European governments, telcos and cloud providers to deploy the DGX Cloud Lepton platform across the region, providing instant access to accelerated computing capacity. “One model architecture, one deployment, and you can run it anywhere,” Huang said, adding that Lepton is now integrated with Hugging Face, giving developers direct access to global compute. The Industrial Cloud Goes Live AI isn’t just virtual. It’s powering physical systems, too, sparking a new industrial revolution. “We’re working on industrial AI with one company after another,” Huang said, describing work to build digital twins based on the NVIDIA Omniverse platform with companies across the continent. Huang explained that everything he showed during his keynote was “computer simulation, not animation” and that it looks beautiful because “it turns out the world is beautiful, and it turns out math is beautiful.” To further this work, Huang announced NVIDIA is launching the world’s first industrial AI cloud — to be built in Germany — to help Europe’s manufacturers simulate, automate and optimize at scale. “Soon, everything that moves will be robotic,” Huang said. “And the car is the next one.” NVIDIA DRIVE, NVIDIA’s full-stack AV platform, is now in production to accelerate the large-scale deployment of safe, intelligent transportation. And to show what’s coming next, Huang was joined on stage by Grek, a pint-sized robot, as Huang talked about how NVIDIA partnered with DeepMind and Disney to build Newton, the world’s most advanced physics training engine for robotics. The Next Wave The next wave of AI has begun — and it’s exponential, Huang explained. “We have physical robots, and we have information robots. We call them agents,” Huang said. “The technology necessary to teach a robot to manipulate, to simulate — and of course, the manifestation of an incredible robot — is now right in front of us.” This new era of AI is being driven by a surge in inference workloads. “The number of people using inference has gone from 8 million to 800 million — 100x in just a couple of years,” Huang said. To meet this demand, Huang emphasized the need for a new kind of computer: “We need a special computer designed for thinking, designed for reasoning. And that’s what Blackwell is — a thinking machine.” Huang and Grek, as he explained how AI is driving advancements in robotics. These Blackwell-powered systems will live in a new class of data centers — AI factories — built to generate tokens, the raw material of modern intelligence. “These AI factories are going to generate tokens,” Huang said, turning to Grek with a smile. “And these tokens are going to become your food, little Grek.” With that, the keynote closed on a bold vision: a future powered by sovereign infrastructure, agentic AI, robotics — and exponential inference — all built in partnership with Europe. Watch the NVIDIA GTC Paris keynote from Huang at VivaTech and explore GTC Paris sessions. #nvidia #ceo #drops #blueprint #europes
    BLOGS.NVIDIA.COM
    NVIDIA CEO Drops the Blueprint for Europe’s AI Boom
    At GTC Paris — held alongside VivaTech, Europe’s largest tech event — NVIDIA founder and CEO Jensen Huang delivered a clear message: Europe isn’t just adopting AI — it’s building it. “We now have a new industry, an AI industry, and it’s now part of the new infrastructure, called intelligence infrastructure, that will be used by every country, every society,” Huang said, addressing an audience gathered online and at the iconic Dôme de Paris. From exponential inference growth to quantum breakthroughs, and from infrastructure to industry, agentic AI to robotics, Huang outlined how the region is laying the groundwork for an AI-powered future. A New Industrial Revolution At the heart of this transformation, Huang explained, are systems like GB200 NVL72 — “one giant GPU” and NVIDIA’s most powerful AI platform yet — now in full production and powering everything from sovereign models to quantum computing. “This machine was designed to be a thinking machine, a thinking machine, in the sense that it reasons, it plans, it spends a lot of time talking to itself,” Huang said, walking the audience through the size and scale of these machines and their performance. At GTC Paris, Huang showed audience members the innards of some of NVIDIA’s latest hardware. There’s more coming, with Huang saying NVIDIA’s partners are now producing 1,000 GB200 systems a week, “and this is just the beginning.” He walked the audience through a range of available systems ranging from the tiny NVIDIA DGX Spark to rack-mounted RTX PRO Servers. Huang explained that NVIDIA is working to help countries use technologies like these to build both AI infrastructure — services built for third parties to use and innovate on — and AI factories, which companies build for their own use, to generate revenue. NVIDIA is partnering with European governments, telcos and cloud providers to deploy NVIDIA technologies across the region. NVIDIA is also expanding its network of technology centers across Europe — including new hubs in Finland, Germany, Spain, Italy and the U.K. — to accelerate skills development and quantum growth. Quantum Meets Classical Europe’s quantum ambitions just got a boost. The NVIDIA CUDA-Q platform is live on Denmark’s Gefion supercomputer, opening new possibilities for hybrid AI and quantum engineering. In addition, Huang announced that CUDA-Q is now available on NVIDIA Grace Blackwell systems. Across the continent, NVIDIA is partnering with supercomputing centers and quantum hardware builders to advance hybrid quantum-AI research and accelerate quantum error correction. “Quantum computing is reaching an inflection point,” Huang said. “We are within reach of being able to apply quantum computing, quantum classical computing, in areas that can solve some interesting problems in the coming years.” Sovereign Models, Smarter Agents European developers want more control over their models. Enter NVIDIA Nemotron, designed to help build large language models tuned to local needs. “And so now you know that you have access to an enhanced open model that is still open, that is top of the leader chart,” Huang said. These models will be coming to Perplexity, a reasoning search engine, enabling secure, multilingual AI deployment across Europe. “You can now ask and get questions answered in the language, in the culture, in the sensibility of your country,” Huang said. Huang explained how NVIDIA is helping countries across Europe build AI infrastructure. Every company will build its own agents, Huang said. To help create those agents, Huang introduced a suite of agentic AI blueprints, including an Agentic AI Safety blueprint for enterprises and governments. The new NVIDIA NeMo Agent toolkit and NVIDIA AI Blueprint for building data flywheels further accelerate the development of safe, high-performing AI agents. To help deploy these agents, NVIDIA is partnering with European governments, telcos and cloud providers to deploy the DGX Cloud Lepton platform across the region, providing instant access to accelerated computing capacity. “One model architecture, one deployment, and you can run it anywhere,” Huang said, adding that Lepton is now integrated with Hugging Face, giving developers direct access to global compute. The Industrial Cloud Goes Live AI isn’t just virtual. It’s powering physical systems, too, sparking a new industrial revolution. “We’re working on industrial AI with one company after another,” Huang said, describing work to build digital twins based on the NVIDIA Omniverse platform with companies across the continent. Huang explained that everything he showed during his keynote was “computer simulation, not animation” and that it looks beautiful because “it turns out the world is beautiful, and it turns out math is beautiful.” To further this work, Huang announced NVIDIA is launching the world’s first industrial AI cloud — to be built in Germany — to help Europe’s manufacturers simulate, automate and optimize at scale. “Soon, everything that moves will be robotic,” Huang said. “And the car is the next one.” NVIDIA DRIVE, NVIDIA’s full-stack AV platform, is now in production to accelerate the large-scale deployment of safe, intelligent transportation. And to show what’s coming next, Huang was joined on stage by Grek, a pint-sized robot, as Huang talked about how NVIDIA partnered with DeepMind and Disney to build Newton, the world’s most advanced physics training engine for robotics. The Next Wave The next wave of AI has begun — and it’s exponential, Huang explained. “We have physical robots, and we have information robots. We call them agents,” Huang said. “The technology necessary to teach a robot to manipulate, to simulate — and of course, the manifestation of an incredible robot — is now right in front of us.” This new era of AI is being driven by a surge in inference workloads. “The number of people using inference has gone from 8 million to 800 million — 100x in just a couple of years,” Huang said. To meet this demand, Huang emphasized the need for a new kind of computer: “We need a special computer designed for thinking, designed for reasoning. And that’s what Blackwell is — a thinking machine.” Huang and Grek, as he explained how AI is driving advancements in robotics. These Blackwell-powered systems will live in a new class of data centers — AI factories — built to generate tokens, the raw material of modern intelligence. “These AI factories are going to generate tokens,” Huang said, turning to Grek with a smile. “And these tokens are going to become your food, little Grek.” With that, the keynote closed on a bold vision: a future powered by sovereign infrastructure, agentic AI, robotics — and exponential inference — all built in partnership with Europe. Watch the NVIDIA GTC Paris keynote from Huang at VivaTech and explore GTC Paris sessions.
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  • Hideo Kojima Had To Add His Own Easter Eggs To Death Stranding 2

    Hideo Kojima's latest game, Death Stranding 2: On the Beach, has arrived on PlayStation 5. While players continue to pour over the details, they may find a few Easter eggs that were placed in the game by Kojima himself. According to Kojima, he only took that hands-on approach because his staff refused to do it for him.As reported by Game Spark, Kojima confirmed that he personally added those nods to his past. He went on to say that when his staff was asked to include his self-referential jokes, they would pretend they didn't hear him.It's possible that Kojima was only joking about his staff's lack of enthusiasm for his ideas, but he did share the details about where one of his Easter eggs is hidden. He noted that it can be found when players visit a hot spring and look up at the sky before zooming in on the stars.Continue Reading at GameSpot
    #hideo #kojima #had #add #his
    Hideo Kojima Had To Add His Own Easter Eggs To Death Stranding 2
    Hideo Kojima's latest game, Death Stranding 2: On the Beach, has arrived on PlayStation 5. While players continue to pour over the details, they may find a few Easter eggs that were placed in the game by Kojima himself. According to Kojima, he only took that hands-on approach because his staff refused to do it for him.As reported by Game Spark, Kojima confirmed that he personally added those nods to his past. He went on to say that when his staff was asked to include his self-referential jokes, they would pretend they didn't hear him.It's possible that Kojima was only joking about his staff's lack of enthusiasm for his ideas, but he did share the details about where one of his Easter eggs is hidden. He noted that it can be found when players visit a hot spring and look up at the sky before zooming in on the stars.Continue Reading at GameSpot #hideo #kojima #had #add #his
    WWW.GAMESPOT.COM
    Hideo Kojima Had To Add His Own Easter Eggs To Death Stranding 2
    Hideo Kojima's latest game, Death Stranding 2: On the Beach, has arrived on PlayStation 5. While players continue to pour over the details, they may find a few Easter eggs that were placed in the game by Kojima himself. According to Kojima, he only took that hands-on approach because his staff refused to do it for him.As reported by Game Spark (via Automaton), Kojima confirmed that he personally added those nods to his past. He went on to say that when his staff was asked to include his self-referential jokes, they would pretend they didn't hear him.It's possible that Kojima was only joking about his staff's lack of enthusiasm for his ideas, but he did share the details about where one of his Easter eggs is hidden. He noted that it can be found when players visit a hot spring and look up at the sky before zooming in on the stars.Continue Reading at GameSpot
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