The New York Times AI·
The chip maker said its profit in its most recent quarter jumped 211 percent from a year ago thanks to extreme demand from other big technology companies.
Read full articleT-Rex's real-time tactile response could revolutionize robotics, enhancing adaptability in dynamic environments and advancing automation capabilities. The post Researchers from UC Berkeley, Nvidia, and Stanford unveil T-Rex framework for robots to respond to physical contact in real time appeared first on Crypto Briefing.
The Consumer Technology Association, which represents more than 1,200 technology companies, urged Senate leaders to advance the CLARITY Act as digital asset developers face uncertainty over federal oversight. CTA Calls for Swift Senate Action on CLARITY Act The Consumer Technology Association (CTA) urged Senate leadership to advance the CLARITY Act as policymakers continue debating the […]
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.
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
Amazon Web Services is in early talks to sell its proprietary Trainium AI chips to external companies for use in their own data centers, marking a significant potential escalation in the rivalry between AWS and Nvidia. The move was confirmed by Amazon’s AI chief Peter DeSantis, who declined to name prospective buyers, and by AWS […]
Amazon Web Services, the company’s cloud-computing arm, has opened discussions with potential customers looking to use its custom Trainium chips.
