Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

Pepper isn’t alone in his pursuit of trying to solve the puzzle of local media. Within the last five years, more than 300 ...

Chief Content Officer Javier Pons discusses the studio's biggest hits, pivot to global storytelling, film expansion​ and ...

Dish Network leveraged ambiguity around the term in licensing deals with Warner Bros. Discovery and Disney to offer ...

That’s a strong number in today’s TV environment, for sure, and since the Oscars also still pull in lots of premium advertisers — and thus many millions in ad revenue — it’s not as if there isn’t ...

Abstract: As one of the most critical components in modern LP solvers, presolve in linear programming (LP) employs a rich set of presolvers to remove different types of redundancy in input problems by ...

Lin Tian receives funding from the Advanced Strategic Capabilities Accelerator (ASCA) and the Defence Innovation Network. Marian-Andrei Rizoiu receives funding from the Advanced Strategic Capabilities ...

Abstract: This paper presents a non-intrusive load monitoring (NILM) model based on two-stage mixed-integer linear programming theory. Compared with other mixed integer optimization-based models, this ...

Dario Amodei, the C.E.O. of the artificial-intelligence company Anthropic, has been predicting that an A.I. “smarter than a Nobel Prize winner” in such fields as biology, math, engineering, and ...

The storm’s likely path is coming into focus, but a lot can still change. Here’s what the forecasters look at. By Judson Jones Judson Jones is a reporter and meteorologist at The Times As Erin moves ...