Researchers from UC Berkeley, Nvidia, and Stanford unveil T-Rex framework for robots to respond to physical contact in real time

MicroAGI's innovative data collection for AI training raises privacy concerns and regulatory scrutiny, impacting the future of robotics development. The post Micro AGI sends free cleaning staff to NYC apartments for AI training appeared first on Crypto Briefing.

Nvidia’s $25B bond drew ~$85B in orders and 2056 maturities, marking AI’s pivot to debt-fueled capex. Tightening spreads could reshape tech and crypto risk.

Anthropic's Conway agent could redefine AI interaction by automating tasks across platforms, potentially transforming user productivity and efficiency. The post Anthropic develops scheduled triggers for upcoming Conway agent appeared first on Crypto Briefing.

A burgeoning genre of fictional AI doomsday scenarios says lagging behind on the technology could threaten the continent’s sovereignty It’s 2031 and the US and China are about to tear Europe into pieces. The US ploughed vast sums into datacentres and the EU did not. China built robots and Europe did not. American companies “restructured” their workflows around AI and fired people, while EU workers went on long lunch breaks and handed over administrative tasks to the AI model Claude. Continue reading...

The resurgence of CPUs in AI inference tasks could reshape the semiconductor landscape, challenging Nvidia's dominance and impacting market dynamics. The post Chipmakers renew performance tussle as CPUs challenge Nvidia’s dominance appeared first on Crypto Briefing.

Enterprises implementing agentic AI face a challenge: Which tools should they allow their agents to use, where can they be found, and how can they be used safely? A new protocol, Agentic Resource Discovery, or ARD, aims to let agents answer those questions for themselves. Behind it are Google, Microsoft, Cisco, Nvidia, Salesforce and others. ARD aims to standardize the way that tools and services are shared across systems within a corporate domain. For example, when investigating a production problem, an agent may want to query engineering documentation and open support tickets, deployment history and observability systems, all of which could be managed by different registries and across different silos. There is no common layer that pulls them together. ARD has been designed to be that layer. It operates across two levels. Catalogs and Registries. In the first, an organization publishes a catalog setting out its available capabilities. The Registries layer act as a form of search engi

Enterprises implementing agentic AI face a challenge: Which tools should they allow their agents to use, where can they be found, and how can they be used safely? A new protocol, Agentic Resource Discovery, or ARD, aims to let agents answer those questions for themselves. Behind it are Google, Microsoft, Cisco, Nvidia, Salesforce and others. ARD aims to standardize the way that tools and services are shared across systems within a corporate domain. For example, when investigating a production problem, an agent may want to query engineering documentation and open support tickets, deployment history and observability systems, all of which could be managed by different registries and across different silos. There is no common layer that pulls them together. ARD has been designed to be that layer. It operates across two levels. Catalogs and Registries. In the first, an organization publishes a catalog setting out its available capabilities. The Registries layer act as a form of search engi

The era of physical AI has arrived. Robots are no longer demonstration projects confined to research labs or factory cages — they are working in live BMW production lines, completing millions of autonomous rides on city streets, inspecting nuclear power plants, and beginning to fold laundry in private homes. The global robotics sector raised $27.6 billion in […]