New Models Enable Prediction, Controllable World Generation and Reasoning for Physical AI Two New Blueprints Deliver Massive Physical AI Synthetic Data Generation for Robot and Autonomous Vehicle Post-Training 1X, Agility Robotics, Figure AI, Skild AI Among Early Adopters March 18, 2025—GTC—NVIDIA today announced a major release of new NVIDIA Cosmos™ world foundation models (WFMs), introducing […]
Expected to become the world’s largest such dataset, the initial release of standardized synthetic data is now available to robotics developers as open source. Teaching autonomous robots and vehicles how to interact with the physical world requires vast amounts of high-quality data. To give researchers and developers a head start, NVIDIA is releasing a massive,
3LC and Saga Robotics Elevate Agricultural Robotics with Advanced Machine Learning and Computer Vision Houston, March 17, 2025 – 3LC is proud to announce that Saga Robotics is working with 3LC’s leading-edge machine learning platform to enhance the performance of its robotic solutions. By incorporating 3LC’s data quality and curation tool, Saga Robotics aims to
3LC Supports Saga Robotics in Agricultural ML Read More +
This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. With the recent advancements in generative AI and vision foundational models, VLMs present a new wave of visual computing wherein the models are capable of highly sophisticated perception and deep contextual understanding. These intelligent solutions offer a promising
This blog post was originally published at Geisel Software’s website. It is reprinted here with the permission of Geisel Software. Optimizing Edge AI Key Takeaways Instant Decisions, Real-World Impact: Edge AI empowers robots to react in milliseconds, enabling life-saving actions in critical scenarios like autonomous vehicle collision avoidance and rapid search-and-rescue missions. Unshakeable Reliability, Unbreachable
Optimizing Edge AI for Effective Real-time Decision Making in Robotics Read More +
For more information, visit https://www.idtechex.com/en/research-report/passenger-car-adas-market-2025-2045-technology-market-analysis-and-forecasts/1080. Global L2+/L3 feature adoption will exceed 50% by 2035. Over the past few years, Advanced Driver Assistance Systems (ADAS) have become a core competitive factor in the passenger vehicles market. In particular, “Level 2+” has emerged as a term describing advanced Level 2 ADAS with more sophisticated capabilities, such as
Passenger Car ADAS Market 2025-2045: Technology, Market Analysis, and Forecasts Read More +
Regulatory landscape and SAE level. As regulatory frameworks such as the EU’s Advanced Driver Distraction Warning (ADDW) near enforcement, automotive OEMs increasingly integrate in-cabin sensing technologies with software-defined vehicle architectures. This shift, evident at CES 2025, marks a pivotal moment in the automotive industry as OEMs leverage existing hardware—such as infrared and RGB cameras—to develop
Insights from CES 2025: In-cabin Sensing and Software-defined Vehicles Read More +
March 7, 2025 – Digica, a leader in AI-driven solutions, is excited to announce its collaboration with Toradex to develop an advanced robotics system featuring real-time object recognition and dynamic change of user interface display. This collaboration integrates cutting-edge computer vision technology with interactive robotics, pushing the boundaries of human-machine interaction. Toradex, a leading provider
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Our mission is to deliver intelligent computing everywhere. We have an amazing suite of products, and while you may be familiar with the Snapdragon brand portfolio, you may not know that we have a whole suite of
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Vision language models (VLMs) are evolving at a breakneck speed. In 2020, the first VLMs revolutionized the generative AI landscape by bringing visual understanding to large language models (LLMs) through the use of a vision encoder. These
Vision Language Model Prompt Engineering Guide for Image and Video Understanding Read More +
Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
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