[Kory] has been writing genetic algorithms for a few months now. This in itself isn’t anything unique or exceptional, except for what he’s getting these genetic algorithms to do. [Kory] has been using ...
Submodular function optimisation has emerged as a cornerstone of contemporary algorithm design, offering a powerful framework to address a broad range of combinatorial problems characterised by the ...
Google DeepMind, which is famous as the developer of AlphaGo, has announced AI `` AlphaDev '' that applies deep reinforcement learning to improve various computing algorithms. At the same time, a ...
Chaotic hash functions represent a cutting‐edge convergence between nonlinear dynamics and cryptographic science. These functions employ chaotic maps—mathematical systems that exhibit extreme ...
Means-plus-function claiming has been disfavored (by and large) since at least 1994 when the Federal Circuit handed down its decision in In re Donaldson, where the Federal Circuit sitting en banc ...
Researchers have developed a new AI-powered algorithm to help understand how different cells organize themselves into particular tissues and communicate with one another. Researchers from Children's ...
Trigonometric functions are often used in embedded systems. Motor drivecontrol applications such as the Park Transform, Clarke Transform, andPWMgeneration use trigonometric functions extensively.
BARCELONA, Spain—A deep-learning algorithm designed to identify local cardiac structures and estimate cardiac function does a better job than sonographer estimates at consistently measuring left ...
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