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Today’s trending AI news stories
Nvidia’s Ambitions Stretch Far Beyond GPUs – Listed here are a few of NVIDIA’s biggest announcements at CES Las Vegas:
Nvidia CEO Jensen Huang wasted no time flexing the GeForce RTX 50 Series, headlined by the $1,999 RTX 5090 and $999 RTX 5080.
Nvidia’s GeForce RTX 50 series isn’t nearly higher graphics—it’s about AI running the show. With the RTX 5090 and 5080, machine learning is now baked directly into rendering processes. RTX Neural Shaders transform how we take into consideration textures, lighting, and materials, while RTX Neural Faces and RTX Mega Geometry push character and world-building realism to latest heights.
Nvidia’s Cosmos, is an AI platform set to redefine robotics and autonomous vehicle development. Built to tackle the complexities of real-world training, Cosmos uses world foundation models (WFMs) to generate precise video simulations, trained on 20 million hours of real-world data.
Available as open-source software, Cosmos supports synthetic data generation, reducing the necessity for enormous datasets. Experts, including Nvidia’s CEO, say the platform presents a ‘ChatGPT moment in robotics,’ but challenges corresponding to cost, regulation, and safety remain. Early adopters include Uber and Agility Robotics.
Nvidia’s “Project Digits” mini PC, offers petaFLOP computing power in a compact form, packing 1,000 times more power than typical laptops. Designed for AI and data science, it enables local processing of AI models, previously reliant on massive data centers. Powered by Nvidia’s Grace Blackwell Superchip, it includes 128GB of memory and 4TB SSD storage. Researchers in fields like robotics can run large AI models, with two units handling as much as 405 billion parameters. Slated for a $3,000 release in May, Project Digits is a game-changer for developers, data scientists, and educators.
Automotive and Robotics Initiatives
Nvidia GR00T generates synthetic data for robots. Image Credit: Nvidia
Nvidia’s Isaac GR00T blueprint, revealed at CES 2025, goals to speed up humanoid robotics development by streamlining synthetic motion data generation. The blueprint enables developers to generate vast datasets from minimal human demonstrations using Nvidia’s Omniverse and Cosmos platforms.
Isaac GR00T workflows, including GR00T-Teleop, GR00T-Mimic, and GR00T-Gen, help robots learn through imitation learning, reducing the necessity for costly real-world data collection. With support from major robotics firms like Boston Dynamics, this initiative targets a $38 billion humanoid robot market. Early access to Nvidia’s humanoid developer program is now available.
Nvidia has launched “Blueprints,” pre-built templates designed to simplify the creation of autonomous AI agents. These “launchables” include the whole lot needed for rapid development of AI systems without ranging from scratch. Firms like CrewAI, Every day, and LangChain have already created specialized blueprints for tasks like code documentation and language processing. Nvidia’s own blueprints include tools for converting PDFs to podcasts and conducting video evaluation 30 times faster than real-time. Powered by Nvidia’s Nemotron models, based on Meta’s Llama technology, these solutions require Nvidia’s AI Enterprise software to operate across various data centers and cloud platforms.
5 latest AI-powered tools from around the net
arXiv is a free online library where researchers share pre-publication papers.
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