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MIT breakthrough could transform robot training

AI News

MIT researchers have developed a robot training method that reduces time and cost while improving adaptability to new tasks and environments. This method marks a significant departure from traditional robot training, where engineers typically collect specific data for individual robots and tasks in controlled environments.

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Advancing Embodied AI: How Meta is Bringing Human-Like Touch and Dexterity to AI

Unite.AI

Meta, well-known for its work in virtual and augmented reality, is now taking on the challenge of creating AI that can interact with the physical world much like a human. Through its FAIR Robotics initiative, Meta is developing open-source tools and frameworks to enhance robots' sense of touch and physical agility.

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DeepMind RoboCat: A Self-Learning Robotic AI Model

Analytics Vidhya

DeepMind, the renowned AI research lab, has unveiled its AI model named RoboCat, capable of performing a wide range of complex tasks using various models of robotic arms. Unlike previous models, RoboCat stands out for its ability to solve multiple tasks and adapt seamlessly to different real-world robots.

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NVIDIA advances AI frontiers with CES 2025 announcements

AI News

NVIDIA CEO and founder Jensen Huang took the stage for a keynote at CES 2025 to outline the companys vision for the future of AI in gaming, autonomous vehicles (AVs), robotics, and more. “AI has been advancing at an incredible pace,” Huang said. Then generative AI creating text, images, and sound.

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NVIDIA Unveils Open Physical AI Dataset to Advance Robotics and Autonomous Vehicle Development

NVIDIA

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. and two dozen European countries is coming soon.

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Japan Develops Next-Generation Drug Design, Healthcare Robotics and Digital Health Platforms

NVIDIA

AI tools trained on country-specific data and local compute infrastructure are supercharging the abilities of Japan’s clinicians and researchers so they can care for patients, amid an expected shortage of nearly 500,000 healthcare workers by next year. Xeureka is using Tokyo-1 to accelerate AI model development and molecular simulations.

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Into the Omniverse: OpenUSD Workflows Advance Physical AI for Robotics, Autonomous Vehicles

NVIDIA

The next frontier of AI is physical AI. Physical AI models can understand instructions and perceive, interact and perform complex actions in the real world to power autonomous machines like robots and self-driving cars.

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