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An AI algorithm developed by Imperial privacy researchers checks privacy-preserving systems for potential data leaks automatically. This is the first time AI has been used to automatically find weaknesses in

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Artificial Neural Networks Learn More Effectively After a Period of Complete Inactivity

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Humans require 7 to 13 hours of sleep every night, depending on their age. Numerous things take place during this period, including changes in hormone

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A smartphone architecture that allows users complete control

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Lately, numerous cell phone clients have become worried about the protection of their information and the degree to which organizations could approach this information. As

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More Stable Quantum Computers Might be Possible Thanks to New Hybrid Structures

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An innovative technique for combining two materials with unique electrical capabilities The best tool to date for studying a peculiar type of superconductivity termed topological superconductivity is a monolayer superconductor

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Molecule Machine and Artificial Intelligence Work Together to Expand Automated Chemistry

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The best general reaction conditions for synthesizing chemicals important to biomedical and materials research were discovered by combining artificial intelligence (AI), “building-block” chemistry, and a

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New Hardware Provides Faster AI Computation with Significantly Less Energy

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The amount of time, effort, and money needed to train ever-more-complex neural network models is soaring as researchers push the limits of machine learning. Analog

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Sample Match: A model that finds matching drum samples for musical files automatically.

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Data-based AI-based computational models have been effectively applied to a wide scope of intricate data-handling errands, including those that include recovering explicit information things from huge files. Scientists at the

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A neural network computation shortcut

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Brain networks are learning calculations that rough the answer to an errand via preparing with accessible information. In any case, it is usually hazy how

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Researchers devise a mechanism to safeguard privacy and security in encrypted messaging.

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Cornell Tech scientists have fostered a component for protecting secrecy in encoded information—which covers message content yet probably won't shroud the shipper's character—while at the

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Investigating the use of reinforcement learning to control nuclear fusion reactions

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An understudy in Carnegie Mellon College's School of Software Engineering (SCS) has utilized support to figure out how to assist with controlling atomic combination responses, a huge move toward saddling