AI Insider·
Insider Brief Genesis AI has unveiled Eno, its first general-purpose robot. According to Genesis AI, the robot combines its proprietary hardware with GENE, the company’s robotics foundation model, which is designed to allow robots to perform a variety of physical tasks rather than being programmed for a single function. Genesis AI said it plans to […]
Read full articleThe rapid training of humanoid robots via open-source platforms and Nvidia's tech could democratize robotics research and accelerate innovation. The post Nvidia powers open-source humanoid robot to learn movement in 7 days appeared first on Crypto Briefing.
Insider Brief Genesis AI and LG CNS have entered a long-term partnership to evaluate and deploy general-purpose robots across manufacturing and logistics operations in the United States. “Working with LG CNS will help give companies around the world a clear path to deploying general-purpose robotics at enterprise scale,” said Genesis AI co-founder and CEO Zhou Xian. […]
French robotics startup Genesis AI on Tuesday unveiled "Eno", its first general-purpose robot, marking a step toward bringing advanced AI from online chatbots into physical machines. Backed by former Google CEO Eric Schmidt, the company says the wheeled robot is designed to extend human capabilities rather than mimic human form, with commercial deployments planned from late 2026.
In the decade-plus since Playground Global's founding, it has built its investment thesis around the idea that breakthroughs in science and engineering — not just software — would create the next generation of valuable companies. Company co-founder Peter Barrett breaks it down in this Crunchbase News Q&A.
A Swiss startup has unveiled a four-armed, legless humanoid for space stations, debuting on May 20, 2026, and built to move and brace itself in microgravity while handling maintenance and cargo unloading. Standing 160 cm and weighing 32 kg, it runs about three hours per charge and targets astronaut tasks that can cost roughly $140,000 […]
CPUs, GPUs, TPUs, and NPUs The post The Hardware That Makes AI Possible appeared first on Towards Data Science.
We’re seeing an interesting infrastructure tug of war today where GPU clouds are being pulled in two directions. For the economics of AI to work, the enterprise market needs to carve expensive hardware into smaller, shareable units and hand it to customers on demand, similar to how CPUs are doled in public cloud infrastructure. But the more the providers push GPUs to behave like elastic cloud infrastructure, the more they run into the reality that this GPU hardware was never built for safe multitenant use, fast fault recovery, or clean isolation between workloads. That tension is becoming one of the defining operational problems of the AI infrastructure market. When a gamer launches Steam or the Epic Games Store on their laptop, they don’t have to worry about which GPU is being scheduled, how memory is going to be divided, or really any of the security boundaries or hardware assignment issues on their PC. For consumer PCs, these issues are not just hidden from view, they are irrelevant
Xbox Showcase 2026 spotlighted AAA hits and new hardware while web3 titles stayed offstage. We unpack distribution, UX and economics holding blockchain games back.
