Chinese researchers harness probabilistic updates on memristor hardware to slash AI training energy use by orders of magnitude, paving the way for ultra-efficient electronics.

SharpSMT first fuses DPLL(T) polytope enumeration with new factorization, variable-elimination and caching pre-processing, ...

Associate Professor Yuichiro Matsushita of Materials and Structures Laboratory, Institute of Science Tokyo, Mitsubishi ...

At the center of this shift is the convergence of two systems that were never designed to operate together on American ...

ChatGPT can now estimate users’ age and automatically limit sensitive or adult content for users under 18, enhancing safety ...

It has been a defining week for Elon Musk’s “everything app,” but perhaps not the one he intended. On Tuesday, January 20, X ...

Multi-tasking robots equipped with artificial intelligence will change the world. Mankind has to be ready to get the best out ...

In the narrative of Industry 4.0, the cloud has long been the protagonist. It promised infinite storage, massive computing power, and the ability to aggregate d ...

Two superstars, both alike in tenacity.

Free Photo Think back to ancient leaders who looked to the stars or the flight patterns of birds just to predict the future.

In 2026, relying on generic stock music is the fastest way to get scrolled past. Smart creators are skipping licensing ...