In business, much to the data scientist’s pleasure, so much of optimization is in finding an even narrower local maximum or minimum. That’s a key reason why deep learning systems are of such ...

With the advent of massively parallel computing coprocessors, numerical optimization for deep-learning disciplines is now possible. Complex real-time pattern recognition, for example, that can be used ...

TEL AVIV, Israel, Feb. 22, 2023 — Deci, the deep learning company harnessing AI to build AI, today released a new version of its deep learning platform, helping developers further simplify the AI ...

This technical paper titled “DNN-Opt: An RL Inspired Optimization for Analog Circuit Sizing using Deep Neural Networks” is co-authored from researchers at The University of Texas at Austin, Intel, ...

Gang Yu, On the Max-Min 0-1 Knapsack Problem with Robust Optimization Applications, Operations Research, Vol. 44, No. 2 (Mar. - Apr., 1996), pp. 407-415 Free online reading for over 10 million ...