AI
Nvidia reveals new AI model and expands Japan’s physical AI ecosystem
Nvidia unveiled a new AI model for robots and vision AI agents on Wednesday, deepening its push into the physical AI market in Japan.
The company’s new model, Cosmos 3 Edge, is a so-called world model, designed to help systems perceive and navigate physical environments in real time. Cosmos 3 edge is a World models are systems that can learn from a wider range of inputs compared to large language models (LLMs). The rollout follows the launch of Cosmos 3 in May.
The regional expansion takes center stage during CEO Jensen Huang’s two-day visit to Japan, where the Silicon Valley chip giant is expanding its physical AI footprint by forming a coalition that local industrial giants, including Fujitsu, Hitachi, and Kawasaki Heavy Industries, intend to join, according to Nvidia.
NVIDIA Introduces New Jetson Thor Computers to Advance Mainstream Robotics and Edge AI
New NVIDIA Blackwell-powered T3000 and T2000 modules, paired with new NVIDIA Jetson software memory optimization and agent skills, help partners and customers move advanced robotics, visual AI and edge workloads onto compact, power-efficient systems.
Fujitsu leading Japanese push in robotics and AI using Nvidia technology
Japanese communications company Fujitsu is leading a major push in artificial intelligence using Nvidia’s technology, bringing together what it said was the best in Japan’s manufacturing prowess in robotics with AI.
The technology area known as “physical AI” refers to smart, futuristic robots that can think on their own, not just follow programmed directions, to work safely alongside people in factories, homes and hospitals.
Innovation
Robots, AI and drones: how the Dutch navy is using tech to transform its sea defences
Uncrewed systems are the future for armed forces and the Netherlands is leading the way ‘to keep people out of danger zones’
Japan to buy Nvidia Rubin chips to build an AI for robots
Japan is planning to buy 27,500 next-generation Rubin chips from Nvidia to build a homegrown foundational AI model for robots.
Newly established Noetra, which has been allocated ¥387.3 billion ($2.4 billion) from government coffers through March of next year, said it will oversee the endeavor and build a roughly 140 megawatt data center. Dozens of companies including Sony Group, SoftBank, Toyota-backed Preferred Networks and NEC are helping to set up and operate Noetra.
Lockheed Martin taps Machina’s robots for mission-critical missile parts
Advanced manufacturing and robotics pioneer Machina Labs has secured a landmark qualification contract from Lockheed Martin to support the Joint Air-to-Surface Standoff Missile, or JASSM, program, marking the first time a component built using the company’s robotic “RoboForming” technology has advanced to qualification for a U.S. defense missile system.
Technology
The Future Of Robotics May Look Surprisingly Boring
Media outlets that cover technology often describe a future where humanoid robots perform complex tasks, adapt to new environments and gradually take on work that humans do today. That future may arrive over time. For now, the robots solving practical problems in industry are far more focused.
Investment
Microagi nabs $55M to teach factory robots how to work
Northzone, LocalGlobe, Village Global and Redalpine also participated in the round. The capital raise arrives around ten months after the company was founded by Formula One engineers from Red Bull Racing and Mercedes-AMG Petronas, two high-octane racing teams.
Research
China sends robots out into the world to learn how to be human
In an industrial park on the outskirts of Beijing, a humanoid arm picks up a bag of Lay’s potato chips and places it neatly along a row of snacks on a shelf. Nearby, a worker films himself grabbing cushions off a sofa and folding sheets on a bed, recording videos that will be used to develop brains for robots.
USC Advances Humanoid Robotics, Robot Learning and 3D Manipulation at RSS 2026
USC Researchers to Lead Workshops and Present Papers at RSS 2026: From Humanoid Foundation Models and Robotic Reward Learning to 3D Vision for Precision Manipulation