As AI shifts from centralized clouds to distributed edge environments, the challenge is no longer just model training—it’s scaling inference efficiently. Test-time inference scaling is emerging as a ...

The major cloud builders and their hyperscaler brethren – in many cases, one company acts like both a cloud and a hyperscaler – have made their technology choices when it comes to deploying AI ...

Abstract: Network reconstruction has become particularly important in systems biology, and is now expected to deliver information on causality. Systems in nature are inherently nonlinear. However, for ...

Guiding students to infer the meaning of a word from a set of images may be more powerful than providing a definition. Vocabulary is crucial to reading comprehension, but it can be hard to ...

While RPA is distinct from AI insofar as the former typically adheres to a manual “rules-based” approach, RPA certainly jibes with AI, and the two technologies can be used in conjunction with each ...

Both humans and other animals are good at learning by inference, using information we do have to figure out things we cannot observe directly. New research from the Center for Mind and Brain at the ...

Senator Marsha Blackburn tried to get Judge Ketanji Brown Jackson to give a definition of “woman,” as part of a diatribe against transgender rights. By Jonathan Weisman Republicans have spent hours ...

At the beginning of 2021, I posted a piece on this blog asking if any readers wanted to develop their critical thinking as a kind of New Year’s resolution. In light of the positive feedback I received ...