Urban populations are expected to double by 2050, which means around 2.5 billion people could be added to urban areas by the middle of the century, driving the need for more sustainable urban planning and public services. Cities across the globe are turning to digital twins and AI agents for urban planning scenario analysis and
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NVIDIA is launching a comprehensive, industry-defining autonomous vehicle (AV) software platform to accelerate large-scale deployment of safe, intelligent transportation innovations for automakers, truck manufacturers, robotaxi companies and startups worldwide. Announced today at NVIDIA GTC Paris at VivaTech, the full-stack NVIDIA DRIVE AV software platform is now in full production. Combined with NVIDIA accelerated compute, this
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Autonomous vehicle (AV) stacks are evolving from many distinct models to a unified, end-to-end architecture that executes driving actions directly from sensor data. This transition to using larger models is drastically increasing the demand for high-quality, physically based sensor data for training, testing and validation. To help accelerate the development of next-generation AV architectures, NVIDIA
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As the manufacturing industry faces challenges — such as labor shortages, reshoring and inconsistent operational strategies — AI-powered robots present a significant opportunity to accelerate industrial automation. At Automate, the largest robotics and automation event in North America, robotics leaders KUKA, Standard Bots, Universal Robots (UR) and Vention are showcasing hardware and robots powered by
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The autonomous vehicle (AV) revolution is here — and NVIDIA is at its forefront, bringing more than two decades of automotive computing, software and safety expertise to power innovation from the cloud to the car. At NVIDIA GTC, a global AI conference taking place this week in San Jose, California, dozens of transportation leaders are
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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, open-source dataset for building the next generation of physical AI. Announced at NVIDIA GTC, a global AI conference taking place this week in San
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Physical AI is unlocking new possibilities at the intersection of autonomy and robotics — accelerating, in particular, the development of autonomous vehicles (AVs). The right technology and frameworks are crucial to ensuring the safety of drivers, passengers and pedestrians. That’s why NVIDIA today announced NVIDIA Halos — a comprehensive safety system bringing together NVIDIA’s lineup
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Generative AI and foundation models let autonomous machines generalize beyond the operational design domains on which they’ve been trained. Using new AI techniques such as tokenization and large language and diffusion models, developers and researchers can now address longstanding hurdles to autonomy. These larger models require massive amounts of diverse data for training, fine-tuning and
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Artificial intelligence is entering a new era — agentic AI — where teams of specialized agents can help people solve complex problems and automate repetitive tasks. With custom AI agents, enterprises across industries can manufacture intelligence and achieve unprecedented productivity. These advanced AI agents require a system of multiple generative AI models optimized for agentic
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Autonomous vehicle (AV) development is made possible by three distinct computers: NVIDIA DGX systems for training the AI-based stack in the data center, NVIDIA Omniverse running on NVIDIA OVX systems for simulation and synthetic data generation, and the NVIDIA AGX in-vehicle computer to process real-time sensor data for safety. Together, these purpose-built, full-stack systems enable
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From creating the GPU, RTX real-time ray tracing and neural rendering to now reinventing computing for AI, NVIDIA has for decades been at the forefront of computer graphics — pushing the boundaries of what’s possible in media and entertainment. NVIDIA Media2 is the latest AI-powered initiative transforming content creation, streaming and live media experiences. Built
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Over the next two decades, the market for humanoid robots is expected to reach $38 billion. To address this significant demand, particularly in industrial and manufacturing sectors, NVIDIA is releasing a collection of robot foundation models, data pipelines and simulation frameworks to accelerate next-generation humanoid robot development efforts. Announced by NVIDIA founder and CEO Jensen
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NVIDIA Cosmos, a platform for accelerating physical AI development, introduces a family of world foundation models — neural networks that can predict and generate physics-aware videos of the future state of a virtual environment — to help developers build next-generation robots and autonomous vehicles (AVs). World foundation models, or WFMs, are as fundamental as large
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By CCN.com: ATOM, the native crypto asset of the highly anticipated Cosmos blockchain network, has been listed by Binance, the world’s largest crypto exchange. Changpeng Zhao, the CEO of Binance, said that the development team behind Cosmos refused to …
The biggest competition of its kind, Demo Day, hosted by ChainB during the International Blockchain Week, featured 17 ethereum based projects, out of 31, with the overall winner Uport, an Ethereum based blockchain identity project. Speaking to CCN, Uport’s co-founder Rouven Heck, stated: We are very excited about the great feedback for uPort over the […]
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