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.

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

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

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

Discover how Markov chains predict real systems, from Ulam and von Neumann’s Monte Carlo to PageRank, so you can grasp ...

Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...

JEE’s proposed adaptive testing could turn India’s toughest exam into an algorithm-led gamble, raising fears of bias, burnout ...

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Google launched four official and confirmed algorithmic updates in 2025, three core updates and one spam update. This is in comparison to last year, in 2024, where we had seven confirmed updates, then ...

The final, formatted version of the article will be published soon. In order to improve the accuracy of state evaluation of Zinc Oxide arrester, a method of state evaluation of Zinc Oxide arrester ...

As the world races to build artificial superintelligence, one maverick bioengineer is testing how much unprogrammed intelligence may already be lurking in our simplest algorithms to determine whether ...