AI

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

Agentic AI systems reason continuously and make real-time decisions—a fundamental shift that requires different infrastructure than traditional AI training.

The deal helps power the agentic workloads behind Meta’s AI efforts.

A viral red carpet moment shone light on a group of hunky Instagram influencers—and the followers who are too horny to care that they’re not real.

As people increasingly rely on AI chatbots for guidance, even on financial matters, a healthy dose of skepticism is critical.

In this week’s episode of Uncanny Valley, we talk about Tim Cook’s legacy as CEO at Apple and what his long-rumored departure means for the future of one of the world’s biggest companies.

CS 153 has gone viral on the Palo Alto campus—and on X. Not everyone is happy about it.

Imagine the following scenario: You’re leading marketing campaigns, creating content, or driving demand generation. Your campaigns are scattered and your insights are buried. By the time you’ve pieced together what’s working, the moment to act has already passed. This isn’t a tools problem because you have plenty of those. It’s a connection problem. Your marketing

Healthcare and life sciences decision making increasingly relies on multimodal data to diagnose diseases, prescribe medicine and predict treatment outcomes, develop and optimize innovative therapies accurately. Traditional approaches analyze fragmented data, such as ‘omics for drug discovery, medical images for diagnostics, clinical trial reports for validation, and electronic health records (EHR) for patient treatment. As

“To be clear, we were never approached … nor were we in any discussions regarding a partnership or tour access,” a spokesperson for the artist tells WIRED.