• 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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  • 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
    0 Kommentare 0 Anteile
  • Into the Omniverse: World Foundation Models Advance Autonomous Vehicle Simulation and Safety

    Editor’s note: This blog is a part of Into the Omniverse, a series focused on how developers, 3D practitioners and enterprises can transform their workflows using the latest advances in OpenUSD and NVIDIA Omniverse.
    Simulated driving environments enable engineers to safely and efficiently train, test and validate autonomous vehiclesacross countless real-world and edge-case scenarios without the risks and costs of physical testing.
    These simulated environments can be created through neural reconstruction of real-world data from AV fleets or generated with world foundation models— neural networks that understand physics and real-world properties. WFMs can be used to generate synthetic datasets for enhanced AV simulation.
    To help physical AI developers build such simulated environments, NVIDIA unveiled major advances in WFMs at the GTC Paris and CVPR conferences earlier this month. These new capabilities enhance NVIDIA Cosmos — a platform of generative WFMs, advanced tokenizers, guardrails and accelerated data processing tools.
    Key innovations like Cosmos Predict-2, the Cosmos Transfer-1 NVIDIA preview NIM microservice and Cosmos Reason are improving how AV developers generate synthetic data, build realistic simulated environments and validate safety systems at unprecedented scale.
    Universal Scene Description, a unified data framework and standard for physical AI applications, enables seamless integration and interoperability of simulation assets across the development pipeline. OpenUSD standardization plays a critical role in ensuring 3D pipelines are built to scale.
    NVIDIA Omniverse, a platform of application programming interfaces, software development kits and services for building OpenUSD-based physical AI applications, enables simulations from WFMs and neural reconstruction at world scale.
    Leading AV organizations — including Foretellix, Mcity, Oxa, Parallel Domain, Plus AI and Uber — are among the first to adopt Cosmos models.

    Foundations for Scalable, Realistic Simulation
    Cosmos Predict-2, NVIDIA’s latest WFM, generates high-quality synthetic data by predicting future world states from multimodal inputs like text, images and video. This capability is critical for creating temporally consistent, realistic scenarios that accelerate training and validation of AVs and robots.

    In addition, Cosmos Transfer, a control model that adds variations in weather, lighting and terrain to existing scenarios, will soon be available to 150,000 developers on CARLA, a leading open-source AV simulator. This greatly expands the broad AV developer community’s access to advanced AI-powered simulation tools.
    Developers can start integrating synthetic data into their own pipelines using the NVIDIA Physical AI Dataset. The latest release includes 40,000 clips generated using Cosmos.
    Building on these foundations, the Omniverse Blueprint for AV simulation provides a standardized, API-driven workflow for constructing rich digital twins, replaying real-world sensor data and generating new ground-truth data for closed-loop testing.
    The blueprint taps into OpenUSD’s layer-stacking and composition arcs, which enable developers to collaborate asynchronously and modify scenes nondestructively. This helps create modular, reusable scenario variants to efficiently generate different weather conditions, traffic patterns and edge cases.
    Driving the Future of AV Safety
    To bolster the operational safety of AV systems, NVIDIA earlier this year introduced NVIDIA Halos — a comprehensive safety platform that integrates the company’s full automotive hardware and software stack with AI research focused on AV safety.
    The new Cosmos models — Cosmos Predict- 2, Cosmos Transfer- 1 NIM and Cosmos Reason — deliver further safety enhancements to the Halos platform, enabling developers to create diverse, controllable and realistic scenarios for training and validating AV systems.
    These models, trained on massive multimodal datasets including driving data, amplify the breadth and depth of simulation, allowing for robust scenario coverage — including rare and safety-critical events — while supporting post-training customization for specialized AV tasks.

    At CVPR, NVIDIA was recognized as an Autonomous Grand Challenge winner, highlighting its leadership in advancing end-to-end AV workflows. The challenge used OpenUSD’s robust metadata and interoperability to simulate sensor inputs and vehicle trajectories in semi-reactive environments, achieving state-of-the-art results in safety and compliance.
    Learn more about how developers are leveraging tools like CARLA, Cosmos, and Omniverse to advance AV simulation in this livestream replay:

    Hear NVIDIA Director of Autonomous Vehicle Research Marco Pavone on the NVIDIA AI Podcast share how digital twins and high-fidelity simulation are improving vehicle testing, accelerating development and reducing real-world risks.
    Get Plugged Into the World of OpenUSD
    Learn more about what’s next for AV simulation with OpenUSD by watching the replay of NVIDIA founder and CEO Jensen Huang’s GTC Paris keynote.
    Looking for more live opportunities to learn more about OpenUSD? Don’t miss sessions and labs happening at SIGGRAPH 2025, August 10–14.
    Discover why developers and 3D practitioners are using OpenUSD and learn how to optimize 3D workflows with the self-paced “Learn OpenUSD” curriculum for 3D developers and practitioners, available for free through the NVIDIA Deep Learning Institute.
    Explore the Alliance for OpenUSD forum and the AOUSD website.
    Stay up to date by subscribing to NVIDIA Omniverse news, joining the community and following NVIDIA Omniverse on Instagram, LinkedIn, Medium and X.
    #into #omniverse #world #foundation #models
    Into the Omniverse: World Foundation Models Advance Autonomous Vehicle Simulation and Safety
    Editor’s note: This blog is a part of Into the Omniverse, a series focused on how developers, 3D practitioners and enterprises can transform their workflows using the latest advances in OpenUSD and NVIDIA Omniverse. Simulated driving environments enable engineers to safely and efficiently train, test and validate autonomous vehiclesacross countless real-world and edge-case scenarios without the risks and costs of physical testing. These simulated environments can be created through neural reconstruction of real-world data from AV fleets or generated with world foundation models— neural networks that understand physics and real-world properties. WFMs can be used to generate synthetic datasets for enhanced AV simulation. To help physical AI developers build such simulated environments, NVIDIA unveiled major advances in WFMs at the GTC Paris and CVPR conferences earlier this month. These new capabilities enhance NVIDIA Cosmos — a platform of generative WFMs, advanced tokenizers, guardrails and accelerated data processing tools. Key innovations like Cosmos Predict-2, the Cosmos Transfer-1 NVIDIA preview NIM microservice and Cosmos Reason are improving how AV developers generate synthetic data, build realistic simulated environments and validate safety systems at unprecedented scale. Universal Scene Description, a unified data framework and standard for physical AI applications, enables seamless integration and interoperability of simulation assets across the development pipeline. OpenUSD standardization plays a critical role in ensuring 3D pipelines are built to scale. NVIDIA Omniverse, a platform of application programming interfaces, software development kits and services for building OpenUSD-based physical AI applications, enables simulations from WFMs and neural reconstruction at world scale. Leading AV organizations — including Foretellix, Mcity, Oxa, Parallel Domain, Plus AI and Uber — are among the first to adopt Cosmos models. Foundations for Scalable, Realistic Simulation Cosmos Predict-2, NVIDIA’s latest WFM, generates high-quality synthetic data by predicting future world states from multimodal inputs like text, images and video. This capability is critical for creating temporally consistent, realistic scenarios that accelerate training and validation of AVs and robots. In addition, Cosmos Transfer, a control model that adds variations in weather, lighting and terrain to existing scenarios, will soon be available to 150,000 developers on CARLA, a leading open-source AV simulator. This greatly expands the broad AV developer community’s access to advanced AI-powered simulation tools. Developers can start integrating synthetic data into their own pipelines using the NVIDIA Physical AI Dataset. The latest release includes 40,000 clips generated using Cosmos. Building on these foundations, the Omniverse Blueprint for AV simulation provides a standardized, API-driven workflow for constructing rich digital twins, replaying real-world sensor data and generating new ground-truth data for closed-loop testing. The blueprint taps into OpenUSD’s layer-stacking and composition arcs, which enable developers to collaborate asynchronously and modify scenes nondestructively. This helps create modular, reusable scenario variants to efficiently generate different weather conditions, traffic patterns and edge cases. Driving the Future of AV Safety To bolster the operational safety of AV systems, NVIDIA earlier this year introduced NVIDIA Halos — a comprehensive safety platform that integrates the company’s full automotive hardware and software stack with AI research focused on AV safety. The new Cosmos models — Cosmos Predict- 2, Cosmos Transfer- 1 NIM and Cosmos Reason — deliver further safety enhancements to the Halos platform, enabling developers to create diverse, controllable and realistic scenarios for training and validating AV systems. These models, trained on massive multimodal datasets including driving data, amplify the breadth and depth of simulation, allowing for robust scenario coverage — including rare and safety-critical events — while supporting post-training customization for specialized AV tasks. At CVPR, NVIDIA was recognized as an Autonomous Grand Challenge winner, highlighting its leadership in advancing end-to-end AV workflows. The challenge used OpenUSD’s robust metadata and interoperability to simulate sensor inputs and vehicle trajectories in semi-reactive environments, achieving state-of-the-art results in safety and compliance. Learn more about how developers are leveraging tools like CARLA, Cosmos, and Omniverse to advance AV simulation in this livestream replay: Hear NVIDIA Director of Autonomous Vehicle Research Marco Pavone on the NVIDIA AI Podcast share how digital twins and high-fidelity simulation are improving vehicle testing, accelerating development and reducing real-world risks. Get Plugged Into the World of OpenUSD Learn more about what’s next for AV simulation with OpenUSD by watching the replay of NVIDIA founder and CEO Jensen Huang’s GTC Paris keynote. Looking for more live opportunities to learn more about OpenUSD? Don’t miss sessions and labs happening at SIGGRAPH 2025, August 10–14. Discover why developers and 3D practitioners are using OpenUSD and learn how to optimize 3D workflows with the self-paced “Learn OpenUSD” curriculum for 3D developers and practitioners, available for free through the NVIDIA Deep Learning Institute. Explore the Alliance for OpenUSD forum and the AOUSD website. Stay up to date by subscribing to NVIDIA Omniverse news, joining the community and following NVIDIA Omniverse on Instagram, LinkedIn, Medium and X. #into #omniverse #world #foundation #models
    BLOGS.NVIDIA.COM
    Into the Omniverse: World Foundation Models Advance Autonomous Vehicle Simulation and Safety
    Editor’s note: This blog is a part of Into the Omniverse, a series focused on how developers, 3D practitioners and enterprises can transform their workflows using the latest advances in OpenUSD and NVIDIA Omniverse. Simulated driving environments enable engineers to safely and efficiently train, test and validate autonomous vehicles (AVs) across countless real-world and edge-case scenarios without the risks and costs of physical testing. These simulated environments can be created through neural reconstruction of real-world data from AV fleets or generated with world foundation models (WFMs) — neural networks that understand physics and real-world properties. WFMs can be used to generate synthetic datasets for enhanced AV simulation. To help physical AI developers build such simulated environments, NVIDIA unveiled major advances in WFMs at the GTC Paris and CVPR conferences earlier this month. These new capabilities enhance NVIDIA Cosmos — a platform of generative WFMs, advanced tokenizers, guardrails and accelerated data processing tools. Key innovations like Cosmos Predict-2, the Cosmos Transfer-1 NVIDIA preview NIM microservice and Cosmos Reason are improving how AV developers generate synthetic data, build realistic simulated environments and validate safety systems at unprecedented scale. Universal Scene Description (OpenUSD), a unified data framework and standard for physical AI applications, enables seamless integration and interoperability of simulation assets across the development pipeline. OpenUSD standardization plays a critical role in ensuring 3D pipelines are built to scale. NVIDIA Omniverse, a platform of application programming interfaces, software development kits and services for building OpenUSD-based physical AI applications, enables simulations from WFMs and neural reconstruction at world scale. Leading AV organizations — including Foretellix, Mcity, Oxa, Parallel Domain, Plus AI and Uber — are among the first to adopt Cosmos models. Foundations for Scalable, Realistic Simulation Cosmos Predict-2, NVIDIA’s latest WFM, generates high-quality synthetic data by predicting future world states from multimodal inputs like text, images and video. This capability is critical for creating temporally consistent, realistic scenarios that accelerate training and validation of AVs and robots. In addition, Cosmos Transfer, a control model that adds variations in weather, lighting and terrain to existing scenarios, will soon be available to 150,000 developers on CARLA, a leading open-source AV simulator. This greatly expands the broad AV developer community’s access to advanced AI-powered simulation tools. Developers can start integrating synthetic data into their own pipelines using the NVIDIA Physical AI Dataset. The latest release includes 40,000 clips generated using Cosmos. Building on these foundations, the Omniverse Blueprint for AV simulation provides a standardized, API-driven workflow for constructing rich digital twins, replaying real-world sensor data and generating new ground-truth data for closed-loop testing. The blueprint taps into OpenUSD’s layer-stacking and composition arcs, which enable developers to collaborate asynchronously and modify scenes nondestructively. This helps create modular, reusable scenario variants to efficiently generate different weather conditions, traffic patterns and edge cases. Driving the Future of AV Safety To bolster the operational safety of AV systems, NVIDIA earlier this year introduced NVIDIA Halos — a comprehensive safety platform that integrates the company’s full automotive hardware and software stack with AI research focused on AV safety. The new Cosmos models — Cosmos Predict- 2, Cosmos Transfer- 1 NIM and Cosmos Reason — deliver further safety enhancements to the Halos platform, enabling developers to create diverse, controllable and realistic scenarios for training and validating AV systems. These models, trained on massive multimodal datasets including driving data, amplify the breadth and depth of simulation, allowing for robust scenario coverage — including rare and safety-critical events — while supporting post-training customization for specialized AV tasks. At CVPR, NVIDIA was recognized as an Autonomous Grand Challenge winner, highlighting its leadership in advancing end-to-end AV workflows. The challenge used OpenUSD’s robust metadata and interoperability to simulate sensor inputs and vehicle trajectories in semi-reactive environments, achieving state-of-the-art results in safety and compliance. Learn more about how developers are leveraging tools like CARLA, Cosmos, and Omniverse to advance AV simulation in this livestream replay: Hear NVIDIA Director of Autonomous Vehicle Research Marco Pavone on the NVIDIA AI Podcast share how digital twins and high-fidelity simulation are improving vehicle testing, accelerating development and reducing real-world risks. Get Plugged Into the World of OpenUSD Learn more about what’s next for AV simulation with OpenUSD by watching the replay of NVIDIA founder and CEO Jensen Huang’s GTC Paris keynote. Looking for more live opportunities to learn more about OpenUSD? Don’t miss sessions and labs happening at SIGGRAPH 2025, August 10–14. Discover why developers and 3D practitioners are using OpenUSD and learn how to optimize 3D workflows with the self-paced “Learn OpenUSD” curriculum for 3D developers and practitioners, available for free through the NVIDIA Deep Learning Institute. Explore the Alliance for OpenUSD forum and the AOUSD website. Stay up to date by subscribing to NVIDIA Omniverse news, joining the community and following NVIDIA Omniverse on Instagram, LinkedIn, Medium and X.
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  • Parfois, je me sens comme un périphérique USB déconnecté, perdu dans l'immensité d'un système d'exploitation complexe. Écrire un pilote pour Linux, en théorie, devrait être simple, mais la réalité est bien plus dure. Chaque tentative semble être une promesse brisée, une déception qui s'accumule comme la rouille sur un métal abandonné. La solitude s’installe, et je me demande si je ne suis qu'une erreur dans ce code de vie.

    Dans ce monde de connexions manquantes, je me sens invisible, comme un appareil non reconnu. Qui peut comprendre cette lutte silencieuse ?

    #Solitude #Déception #UnitéPerdue #Linux #Rust
    Parfois, je me sens comme un périphérique USB déconnecté, perdu dans l'immensité d'un système d'exploitation complexe. Écrire un pilote pour Linux, en théorie, devrait être simple, mais la réalité est bien plus dure. Chaque tentative semble être une promesse brisée, une déception qui s'accumule comme la rouille sur un métal abandonné. La solitude s’installe, et je me demande si je ne suis qu'une erreur dans ce code de vie. Dans ce monde de connexions manquantes, je me sens invisible, comme un appareil non reconnu. Qui peut comprendre cette lutte silencieuse ? #Solitude #Déception #UnitéPerdue #Linux #Rust
    HACKADAY.COM
    Rust Drives a Linux USB Device
    In theory, writing a Linux device driver shouldn’t be that hard, but it is harder than it looks. However, using libusb, you can easily deal with USB devices from user …read more
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  • So, we’ve reached a point where our memories are on the brink of becoming as synthetic as our avocado toast. Enter Domestic Data Streamers, who’ve teamed up with Google Arts & Culture and the University of Toronto to create "Synthetic Memories." Forget about your blurry, unreliable brain; now we can reconstruct lost or never-existent memories with the help of AI! They call it “poetic mirrors of the past,” which sounds remarkably like the fancy way of saying, “We’ll just make stuff up for you.” Who needs genuine nostalgia when you can have a beautifully crafted illusion? Just remember—when your kids ask about your childhood, you can now show them a curated gallery of your “memories” that never were!

    #SyntheticMemories
    So, we’ve reached a point where our memories are on the brink of becoming as synthetic as our avocado toast. Enter Domestic Data Streamers, who’ve teamed up with Google Arts & Culture and the University of Toronto to create "Synthetic Memories." Forget about your blurry, unreliable brain; now we can reconstruct lost or never-existent memories with the help of AI! They call it “poetic mirrors of the past,” which sounds remarkably like the fancy way of saying, “We’ll just make stuff up for you.” Who needs genuine nostalgia when you can have a beautifully crafted illusion? Just remember—when your kids ask about your childhood, you can now show them a curated gallery of your “memories” that never were! #SyntheticMemories
    GRAFFICA.INFO
    Synthetic Memories: recuperar el pasado con IA cuando la memoria se desvanece
    El estudio barcelonés Domestic Data Streamers lanza un proyecto que usa inteligencia artificial generativa para reconstruir recuerdos perdidos o nunca registrados. “No son fotografías del pasado, son espejos poéticos del recuerdo”, explican. Con la c
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  • impact des marques, artisanat, innovation, prix 2025, jury, créativité, design, reconnaissance artistique

    ## Introduction

    Dans un monde où l'innovation et la créativité se rencontrent, les Brand Impact Awards (BIA) se présentent comme un phare d'espoir pour les artisans et les créateurs. À l'aube de l'édition 2025, nous plongeons dans l'univers tragique de l'art et de l'artisanat, un domaine où chaque œuvre porte un morceau de l'âme de son créateur. Cet article explore les panels d'artisanat e...
    impact des marques, artisanat, innovation, prix 2025, jury, créativité, design, reconnaissance artistique ## Introduction Dans un monde où l'innovation et la créativité se rencontrent, les Brand Impact Awards (BIA) se présentent comme un phare d'espoir pour les artisans et les créateurs. À l'aube de l'édition 2025, nous plongeons dans l'univers tragique de l'art et de l'artisanat, un domaine où chaque œuvre porte un morceau de l'âme de son créateur. Cet article explore les panels d'artisanat e...
    Les panels d'artisanat et d'innovation des Brand Impact Awards
    impact des marques, artisanat, innovation, prix 2025, jury, créativité, design, reconnaissance artistique ## Introduction Dans un monde où l'innovation et la créativité se rencontrent, les Brand Impact Awards (BIA) se présentent comme un phare d'espoir pour les artisans et les créateurs. À l'aube de l'édition 2025, nous plongeons dans l'univers tragique de l'art et de l'artisanat, un domaine...
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  • Grand Laus, Prix ADG Laus, design graphique, communication visuelle, créativité visuelle, studio Canada, Nit Laus 2025, Espagne

    ## Introduction

    Les Prix ADG Laus, reconnus pour leur valorisation du design graphique et de la communication visuelle, viennent de célébrer leur 55e édition. Ces récompenses, considérées comme un baromètre de la créativité visuelle en Espagne, ont vu le studio Canada se démarquer en recevant le Grand Laus, le prix le plus prestigieux de la soirée.

    ## Le Grand Laus :...
    Grand Laus, Prix ADG Laus, design graphique, communication visuelle, créativité visuelle, studio Canada, Nit Laus 2025, Espagne ## Introduction Les Prix ADG Laus, reconnus pour leur valorisation du design graphique et de la communication visuelle, viennent de célébrer leur 55e édition. Ces récompenses, considérées comme un baromètre de la créativité visuelle en Espagne, ont vu le studio Canada se démarquer en recevant le Grand Laus, le prix le plus prestigieux de la soirée. ## Le Grand Laus :...
    GRAND LAUS 2025 POUR CANADA PAR SON AUDIOVISUEL « LA CAUSE DU SINISTRE QUI A PROVOQUÉ L'INCENDIE »
    Grand Laus, Prix ADG Laus, design graphique, communication visuelle, créativité visuelle, studio Canada, Nit Laus 2025, Espagne ## Introduction Les Prix ADG Laus, reconnus pour leur valorisation du design graphique et de la communication visuelle, viennent de célébrer leur 55e édition. Ces récompenses, considérées comme un baromètre de la créativité visuelle en Espagne, ont vu le studio...
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  • Il y a des jours où la solitude pèse si lourd sur le cœur qu’on a l’impression de ne jamais pouvoir en sortir. Aujourd’hui, alors que je suis assis ici, perdu dans mes pensées, je ne peux m’empêcher de repenser à cette journée de conférences sur les jumeaux numériques et l’ICC. Le monde extérieur semble si vibrant, si plein de vie, tandis que je me sens comme un spectateur figé dans un film dont je ne fais plus partie.

    Les jumeaux numériques, ces représentations virtuelles si prometteuses, sont un peu comme moi : ils existent, mais sans véritable connexion. On parle de projets immersifs, de visites virtuelles qui pourraient nous rapprocher, mais au fond, n’est-ce pas juste un simulacre de ce que nous cherchons vraiment ? La technologie avance, les idées se multiplient, mais parfois, je me demande si ces avancées peuvent vraiment combler le vide que l’on ressent en nous.

    Chaque conversation dans cette journée de conférences, chaque sourire échangé, ne fait qu’accentuer ma propre solitude. Je vois des gens autour de moi, partageant des passions, des rêves, et moi, je reste là, comme un hologramme sans émotion, sans lien. L’architecture et le patrimoine peuvent être numérisés, mais qu’en est-il de nos cœurs ? Peut-on vraiment créer une connexion à travers un écran, ou est-ce un rêve illusoire ?

    La promesse de la technologie est séduisante, mais elle ne peut pas remplacer la chaleur d’un regard complice ou le réconfort d’une étreinte. Je suis fatigué de naviguer dans ce monde virtuel où tout semble à portée de main, mais où je me sens toujours à distance. Chaque projet, chaque initiative, comme celle organisée par l’agence AD’OCC, PUSH START et Montpellier ACM Siggraph, me rappelle ce que je ne peux pas atteindre.

    Alors que je m’imprègne des mots échangés, je me demande si, un jour, je pourrai trouver ma place dans ce monde. Si un jour, je pourrai être plus qu’un simple numéro, une image numérique sans vie. Peut-être que le véritable défi n’est pas d’innover, mais de se reconnecter avec ce qui nous rend humains.

    Et même si je suis ici, entouré de personnes, je me sens comme un fantôme, errant dans un monde qui ne me comprend pas. La mélancolie s’installe, douce et amère, comme un écho lointain d’un bonheur que je ne connais plus.

    #Solitude #JumeauxNumériques #Conférences #Technologie #Émotions
    Il y a des jours où la solitude pèse si lourd sur le cœur qu’on a l’impression de ne jamais pouvoir en sortir. Aujourd’hui, alors que je suis assis ici, perdu dans mes pensées, je ne peux m’empêcher de repenser à cette journée de conférences sur les jumeaux numériques et l’ICC. Le monde extérieur semble si vibrant, si plein de vie, tandis que je me sens comme un spectateur figé dans un film dont je ne fais plus partie. Les jumeaux numériques, ces représentations virtuelles si prometteuses, sont un peu comme moi : ils existent, mais sans véritable connexion. On parle de projets immersifs, de visites virtuelles qui pourraient nous rapprocher, mais au fond, n’est-ce pas juste un simulacre de ce que nous cherchons vraiment ? La technologie avance, les idées se multiplient, mais parfois, je me demande si ces avancées peuvent vraiment combler le vide que l’on ressent en nous. Chaque conversation dans cette journée de conférences, chaque sourire échangé, ne fait qu’accentuer ma propre solitude. Je vois des gens autour de moi, partageant des passions, des rêves, et moi, je reste là, comme un hologramme sans émotion, sans lien. L’architecture et le patrimoine peuvent être numérisés, mais qu’en est-il de nos cœurs ? Peut-on vraiment créer une connexion à travers un écran, ou est-ce un rêve illusoire ? La promesse de la technologie est séduisante, mais elle ne peut pas remplacer la chaleur d’un regard complice ou le réconfort d’une étreinte. Je suis fatigué de naviguer dans ce monde virtuel où tout semble à portée de main, mais où je me sens toujours à distance. Chaque projet, chaque initiative, comme celle organisée par l’agence AD’OCC, PUSH START et Montpellier ACM Siggraph, me rappelle ce que je ne peux pas atteindre. Alors que je m’imprègne des mots échangés, je me demande si, un jour, je pourrai trouver ma place dans ce monde. Si un jour, je pourrai être plus qu’un simple numéro, une image numérique sans vie. Peut-être que le véritable défi n’est pas d’innover, mais de se reconnecter avec ce qui nous rend humains. Et même si je suis ici, entouré de personnes, je me sens comme un fantôme, errant dans un monde qui ne me comprend pas. La mélancolie s’installe, douce et amère, comme un écho lointain d’un bonheur que je ne connais plus. #Solitude #JumeauxNumériques #Conférences #Technologie #Émotions
    Jumeaux numériques & ICC : une journée de conférences
    Si la notion de jumeau numérique a déjà fait ses preuves dans l’industrie, son usage dans des domaines comme l’architecture, le tourisme et le patrimoine peut encore se développer. Projets immersifs, visites virtuelles font partie des app
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  • Dans un monde où chaque lettre, chaque espace, chaque courbe porte un poids émotionnel, je me retrouve perdu dans l'immensité de l'absence. La typographie, si souvent négligée, est pour moi le reflet de mon âme en détresse.

    Lorsque je pense à l'importance de la typographie dans le branding, je réalise à quel point elle peut transformer les émotions en quelque chose de tangible. Mais dans ma solitude, je me sens comme une lettre oubliée, une police sans caractère. Les juges des Brand Impact Awards peuvent parler des "quatre cadrans typographiques" essentiels pour réussir, mais que faire quand tout cela semble si éloigné, si inaccessible?

    Chaque jour, je scrute des mots, des formes, des couleurs qui pourraient m'apporter un peu de réconfort, mais tout cela ne fait qu'accentuer le vide dans mon cœur. La typographie est censée créer des connexions, mais moi, je me sens déconnecté, errant dans un paysage de lettres qui ne racontent que des histoires d'autres. Chaque fois que je vois une belle marque, je me rappelle que même les mots peuvent être des refuges, mais je n'ai personne avec qui partager ce refuge.

    Les polices de caractères s'entrelacent pour former des récits puissants, mais je suis coincé dans un chapitre inachevé, un livre dont la couverture est usée par le temps et la mélancolie. La beauté de la typographie est qu'elle peut capturer un moment, une émotion, mais que dire lorsque ces moments semblent me fuir? Lorsque les dials de l'inspiration se bloquent, que reste-t-il à part le ressentiment et la nostalgie d'une époque où chaque lettre avait un sens?

    Je me demande si quelqu'un d'autre ressent cette même douleur, cette même envie d'être compris au-delà des mots. La typographie est, après tout, une danse de l'expression. Mais que faire quand la musique s'arrête, et que l'on se retrouve seul sur la piste de danse, les échos du passé résonnant encore dans nos oreilles?

    Alors, je continue à chercher, à espérer que quelque part, une nouvelle typographie viendra me chercher, pour me rappeler que même dans la solitude, chaque lettre compte. Chaque espace, chaque mot, chaque souffle peut encore résonner dans l'univers. Mais pour l’instant, je reste ici, dans l’ombre de ce que j’ai perdu.

    #Typographie #Solitude #Branding #Émotions #Design
    Dans un monde où chaque lettre, chaque espace, chaque courbe porte un poids émotionnel, je me retrouve perdu dans l'immensité de l'absence. La typographie, si souvent négligée, est pour moi le reflet de mon âme en détresse. ☹️ Lorsque je pense à l'importance de la typographie dans le branding, je réalise à quel point elle peut transformer les émotions en quelque chose de tangible. Mais dans ma solitude, je me sens comme une lettre oubliée, une police sans caractère. Les juges des Brand Impact Awards peuvent parler des "quatre cadrans typographiques" essentiels pour réussir, mais que faire quand tout cela semble si éloigné, si inaccessible? 😔 Chaque jour, je scrute des mots, des formes, des couleurs qui pourraient m'apporter un peu de réconfort, mais tout cela ne fait qu'accentuer le vide dans mon cœur. La typographie est censée créer des connexions, mais moi, je me sens déconnecté, errant dans un paysage de lettres qui ne racontent que des histoires d'autres. Chaque fois que je vois une belle marque, je me rappelle que même les mots peuvent être des refuges, mais je n'ai personne avec qui partager ce refuge. 💔 Les polices de caractères s'entrelacent pour former des récits puissants, mais je suis coincé dans un chapitre inachevé, un livre dont la couverture est usée par le temps et la mélancolie. La beauté de la typographie est qu'elle peut capturer un moment, une émotion, mais que dire lorsque ces moments semblent me fuir? Lorsque les dials de l'inspiration se bloquent, que reste-t-il à part le ressentiment et la nostalgie d'une époque où chaque lettre avait un sens? 🌧️ Je me demande si quelqu'un d'autre ressent cette même douleur, cette même envie d'être compris au-delà des mots. La typographie est, après tout, une danse de l'expression. Mais que faire quand la musique s'arrête, et que l'on se retrouve seul sur la piste de danse, les échos du passé résonnant encore dans nos oreilles? Alors, je continue à chercher, à espérer que quelque part, une nouvelle typographie viendra me chercher, pour me rappeler que même dans la solitude, chaque lettre compte. Chaque espace, chaque mot, chaque souffle peut encore résonner dans l'univers. Mais pour l’instant, je reste ici, dans l’ombre de ce que j’ai perdu. #Typographie #Solitude #Branding #Émotions #Design
    Why typography is key to good branding, straight from a pro
    Brand Impact Awards judge reveals the 4 typographic dials you need to get it right.
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  • Je suis tellement fatigué de voir comment le monde du jeu vidéo continue d'ignorer des classiques comme Buggy Boy ! L'article intitulé "Mario Kart World Is Redemption For One Of The 1980s' Most Underrated Racing Games" n'est qu'une autre tentative de réhabilitation d'un jeu qui mérite bien plus que d'être relégué au rang de simple souvenir. Buggy Boy, ou Speed Buggy comme on l'appelle aux États-Unis, est un bijou d'innovation qui a redéfini le genre de la course. Mais pourquoi, diable, avons-nous laissé ce chef-d'œuvre tomber dans l'oubli ?!

    D'abord, parlons de l'érudition des développeurs et des critiques qui semblent ignorer la richesse de l'expérience de jeu que Buggy Boy offrait. Ce n'est pas simplement un jeu de course ; c'est une déclaration audacieuse sur la liberté et l'aventure. Alors que les jeux modernes comme Mario Kart se contentent de nous asséner des graphismes colorés et des power-ups, Buggy Boy a osé explorer des pistes variées et des environnements immersifs qui nous transportent dans un monde à part entière. Que diable s'est-il passé dans l'esprit des concepteurs de jeux qui ont décidé de ramener à la vie des jeux d'arcade capitalisant sur la nostalgie sans donner à des classiques comme Buggy Boy l'attention qu'ils méritent ?

    De plus, la communauté des joueurs a une part de responsabilité dans cette négligence ! Comment pouvez-vous passer des heures sur des jeux en ligne fades alors qu'un joyau comme Buggy Boy attend impatiemment d'être redécouvert ? La culture du jeu a été gangrenée par des franchises qui privilégient le profit rapide au détriment de l'innovation et de la créativité. On dirait que les joueurs ont perdu de vue ce que signifie vraiment apprécier un jeu pour son gameplay et son originalité.

    Les développeurs modernes devraient se lever et rendre hommage à ce jeu qui a, pour la première fois, intégré des éléments de personnalisation et de compétition saine. Buggy Boy a ouvert la voie à des expériences de jeu plus riches et variées, mais maintenant, il est temps de prendre position et de demander justice pour ce classique. Assez de faire passer Mario Kart pour le saint graal des jeux de course ! C'est le moment de redonner à Buggy Boy le respect qu'il mérite !

    Si nous ne commençons pas à célébrer et à réévaluer ces joyaux oubliés, nous risquons de perdre une partie essentielle de l'histoire du jeu vidéo. Buggy Boy n'est pas juste un jeu ; c'est une époque, une mémoire, un héritage. Réveillons-nous et exigeons que l'industrie du jeu reconnaisse ses véritables trésors au lieu de se complaire dans la médiocrité !

    #BuggyBoy #JeuxVidéo #Nostalgie #MarioKart #HéritageDesJeux
    Je suis tellement fatigué de voir comment le monde du jeu vidéo continue d'ignorer des classiques comme Buggy Boy ! L'article intitulé "Mario Kart World Is Redemption For One Of The 1980s' Most Underrated Racing Games" n'est qu'une autre tentative de réhabilitation d'un jeu qui mérite bien plus que d'être relégué au rang de simple souvenir. Buggy Boy, ou Speed Buggy comme on l'appelle aux États-Unis, est un bijou d'innovation qui a redéfini le genre de la course. Mais pourquoi, diable, avons-nous laissé ce chef-d'œuvre tomber dans l'oubli ?! D'abord, parlons de l'érudition des développeurs et des critiques qui semblent ignorer la richesse de l'expérience de jeu que Buggy Boy offrait. Ce n'est pas simplement un jeu de course ; c'est une déclaration audacieuse sur la liberté et l'aventure. Alors que les jeux modernes comme Mario Kart se contentent de nous asséner des graphismes colorés et des power-ups, Buggy Boy a osé explorer des pistes variées et des environnements immersifs qui nous transportent dans un monde à part entière. Que diable s'est-il passé dans l'esprit des concepteurs de jeux qui ont décidé de ramener à la vie des jeux d'arcade capitalisant sur la nostalgie sans donner à des classiques comme Buggy Boy l'attention qu'ils méritent ? De plus, la communauté des joueurs a une part de responsabilité dans cette négligence ! Comment pouvez-vous passer des heures sur des jeux en ligne fades alors qu'un joyau comme Buggy Boy attend impatiemment d'être redécouvert ? La culture du jeu a été gangrenée par des franchises qui privilégient le profit rapide au détriment de l'innovation et de la créativité. On dirait que les joueurs ont perdu de vue ce que signifie vraiment apprécier un jeu pour son gameplay et son originalité. Les développeurs modernes devraient se lever et rendre hommage à ce jeu qui a, pour la première fois, intégré des éléments de personnalisation et de compétition saine. Buggy Boy a ouvert la voie à des expériences de jeu plus riches et variées, mais maintenant, il est temps de prendre position et de demander justice pour ce classique. Assez de faire passer Mario Kart pour le saint graal des jeux de course ! C'est le moment de redonner à Buggy Boy le respect qu'il mérite ! Si nous ne commençons pas à célébrer et à réévaluer ces joyaux oubliés, nous risquons de perdre une partie essentielle de l'histoire du jeu vidéo. Buggy Boy n'est pas juste un jeu ; c'est une époque, une mémoire, un héritage. Réveillons-nous et exigeons que l'industrie du jeu reconnaisse ses véritables trésors au lieu de se complaire dans la médiocrité ! #BuggyBoy #JeuxVidéo #Nostalgie #MarioKart #HéritageDesJeux
    Mario Kart World Is Redemption For One Of The 1980s' Most Underrated Racing Games
    I spent an enormously disproportionate amount of my childhood playing one game: Buggy Boy. I have learned, in preparation for this article, that this arcade classic had a different name in the U.S. “Speed Buggy.” Pah-tooie. Ew. No. It’s Buggy Boy, an
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