News reporting focused on AI and machine learning, covering the companies behind these technologies, their real-world applications, and the ethical concerns they raise. This includes areas like generative AI (large language models, text-to-image and video), speech tech, and predictive analytics.
German AI company Black Forest Labs released Flux 3, a multimodal foundation model trained on images, video, and audio together. It can generate videos up to 20 seconds long with native audio for the first time. In early tests, it beat several rivals including Luma Ray 3.2 and Runway Gen-4.5. The company also developed Flux-mimic, a video-action model for robotics, now being tested at Audi.
NVIDIA has open sourced its Medical Physics Simulation framework, a GPU-accelerated tool within Isaac for Healthcare that helps medical robotics developers model anatomy-device interactions, generate rare scenarios, and train robot policies in virtual environments. The framework combines classical physics simulation with generative AI from NVIDIA Cosmos-H Dreams, enabling parallel training of thousands of robot environments. Medical device leaders including CMR Surgical, Johnson & Johnson MedTech, and XCath are already using it to advance surgical robotics and regulatory evidence.
A weekend rumor about Anthropic acquiring robotics startup Physical Intelligence spread rapidly across AI Twitter, despite a denial from Physical Intelligence's CEO. The rumor gained traction due to Physical Intelligence's high-profile co-founders, over $1 billion in funding, and its widely used π0.5 robot brain model. Reports indicate that acquisition talks did occur between the two companies this spring, adding fuel to the speculation.
Xiaomi released Xiaomi-Robotics-1, an AI model for robots that improves with more training data. To build a large dataset, the team used handheld grippers instead of physical robots, collecting over 100,000 hours of motion recordings. Tests showed that adding data boosted performance far more than increasing model size, with success rates in unfamiliar environments rising from about 25 percent to 75 percent.
Nvidia CEO Jensen Huang spent two days in Tokyo, securing deals for a national AI factory, partnerships with Japan's top robotics companies, and agreements with chip-material suppliers. The visit underscores Japan's push for sovereign AI and physical AI infrastructure, with Tokyo committing up to 1 trillion yen over five years.
NVIDIA and LG Group are jointly building an AI factory to accelerate AI-driven businesses across robotics, autonomous driving, data center technologies, and GPU cloud services. The facility will provide LG with accelerated computing infrastructure for training, simulating, and deploying AI applications. The collaboration integrates NVIDIA's full-stack AI factory platform with LG's global leadership in consumer electronics, robotics, mobility components, smart spaces, and data center technologies.
NVIDIA and Doosan Group are deepening their partnership across multiple subsidiaries to advance physical AI, robotics, and AI factory infrastructure. The collaboration spans Doosan Robotics, Doosan Bobcat, Doosan Enerbility, and Doosan Corporation Electro-Materials BG, integrating NVIDIA's full-stack accelerated computing platforms with Doosan's industrial automation and power generation expertise.
NVIDIA announced JetPack 7.2 and NemoClaw support for Jetson at COMPUTEX, bringing agentic AI capabilities to edge devices. The software stack includes Yocto support, CUDA 13, and MIG on Thor. Partners like Solomon and Advantech are already deploying agentic AI on Jetson for robotics and factory automation.
Meta has purchased humanoid robotics firm Assured Robot Intelligence for an undisclosed amount. The startup's team will integrate into Meta's Superintelligence Labs. This move supports Meta's long-term goals in developing AI for humanoid robots.
Meta has purchased humanoid robotics startup Assured Robot Intelligence for an undisclosed amount. The acquisition brings ARI's team, including co-founders Xiaolong Wang and Lerrel Pinto, to Meta's Superintelligence Labs. The move supports Meta's ongoing work in humanoid robotics and aligns with industry views on physical training for advanced AI.
SoftBank aims to launch and list a new AI and robotics firm named Roze in the US via IPO as soon as this year, targeting a valuation of up to $100 billion. The company would focus on data centers and might include the recently acquired ABB Robotics. This move helps offset heavy spending, such as the roughly $30 billion invested in OpenAI, amid debt pressures.
Tesla announced plans to spend $25 billion on capital expenditures in 2026, a sharp rise from prior years, to fund its move into AI and robotics. The company detailed investments in compute infrastructure, manufacturing expansion, Optimus robots, and robotaxi operations during its first-quarter earnings call. CEO Elon Musk called the increase justified for future revenue growth, while CFO Vaibhav Taneja noted upcoming negative free cash flow despite strong cash reserves.