Artificial intelligence has attained an impressive series of feats—solving problems from the International Math Olympiad, ...
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Computer chips designed like biological brains can finally handle massive math problems without guzzling energy like a normal supercomputer
Yet, to perform that motion, your brain is solving a massive physics problem in milliseconds. It is processing the same kind of complex math that typically demands a warehouse-sized supercomputer.
Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...
Do you stare at a math word problem and feel completely stuck? You're not alone. These problems mix reading comprehension ...
Mathematics, like many other scientific endeavors, is increasingly using artificial intelligence. Of course, math is the ...
The world’s first neuromorphic supercomputer is moving closer to reality after researchers at Sandia National Laboratories (SNL) in the US demonstrated a novel algorithm that uses neuromorphic ...
The prize for the best research article of the Workshop on Algorithms in Bioinformatics conference (WABI) was awarded to the research conducted in the Graph Algorithms team led by Associate Professor ...
To learn math, students must build a mental toolbox of facts and procedures needed for different problems. But students who can recall these foundational facts in isolation often struggle to use them ...
The main goal of this paper is twofold. Our first objective is to prove the Lipschitz continuity of the proximal-point mapping associated with an H-accretive operator and to compute an estimate of its ...
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