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Solid-state batteries store and release charge by pushing ions back and forth between two electrodes. From our usual point of view, ions flow in a smooth flow through the solid electrolyte of
Today, two new trends are emerging in the field of computing: quantum and neuromorphic. These may seem like two different paths, but at the intersection of these fields computing solutions so powerful
Scientists have developed a method to obtain ultrapure silicon used in chips. Using standard equipment, they were able to reduce silicon-29 impurities in the chips to 0.0002%. According to New Atlas, this
Recently in a magazine Science St. published a paper dedicated to the study of heterogeneous thin film structures for capacitors, written by authors from the McKelvey School of Engineering at Washington University
Many artificial intelligence (AI) systems, even those designed to be useful and accurate, have already learned to deceive humans. In a review article recently published in the journal Patterns Researchers highlight the
A group of researchers from Stanford University (USA) has developed a new technology for creating a holographic image, implemented using artificial intelligence algorithms. Provides compact dimensions of the necessary equipment; This technology
A new electrical energy converter design developed by Kobe University provides significantly increased efficiency at lower cost and less maintenance. This accelerated DC voltage converter is expected to significantly impact the development
Researchers from the universities of Melbourne and Manchester have invented a revolutionary technology for producing highly purified silicon that brings powerful quantum computers closer. A new technique for creating ultrapure silicon makes
Communication tested in Japan 6Gand showed that data transfer speeds were 10 times faster than the network’s peak speeds 5G, — 100 Gbit/s. A prototype of a wireless device participated in the
Researchers from leading American institutes presented a new architecture of the Kolmogorov-Arnold Networks (KAN) neural network. It became an alternative to multilayer perceptrons (MLP), a principle developed in 1957. Unlike the perceptron
