AI

Enterprises building AI agents often require more than what managed foundation model (FM) services can provide. They need precise control over performance tuning, cost optimization at scale, compliance and data residency, model selection, and networking configurations that integrate with existing security architectures. Amazon SageMaker AI endpoints align with these requirements by giving organizations control over […]

This post was co-written with Bradley Grantham and Hugo Dugdale from Popsa. Popsa is a technology company that helps users rediscover and relive the meaningful memories hidden in their photo libraries. Available across more than 50 countries and 12 languages, we use design automation and AI to transform everyday photos into personal, shareable experiences, including

David Silver has a new billion-dollar company that aims to build AI “superlearners.”

Due to the explosive growth of artificial intelligence, it is estimated that data centers will consume up to 12 percent of total U.S. electricity by 2028, according to the Lawrence Berkeley National Laboratory. Improving data center energy efficiency is one way scientists are striving to make AI more sustainable. Toward that goal, researchers from MIT and

Plus: Spy firms tap into a global telecom weakness to track targets, 500,000 UK health records go up for sale on Alibaba, Apple patches a revealing notification bug, and more.

Ace can read the trajectory of a ball, adjust the racket angle, and respond with strokes that keep the exchange alive with real players.

Employees across every function are expected to make faster, better-informed decisions, but the information that they need rarely lives in one place. Workforce intelligence (who is in your organization, how they are performing, and where the gaps are) is one of the most valuable signals an enterprise has, and platforms like Visier are purpose-built to

Isomorphic Labs president Max Jaderberg said at WIRED Health in London that the startup has built a “broad and exciting pipeline of new medicines.”

Every year, the countries competing in the International Mathematical Olympiad (IMO) arrive with a booklet of their best, most original problems. Those booklets get shared among delegations, then quietly disappear. No one had ever collected them systematically, cleaned them, and made them available, not for AI researchers testing the limits of mathematical reasoning, and not

Tim Cook was a great CEO, but he didn’t crack AI.  It’s job number 1 for John Ternus.