These algorithms are significant because they can solve the noncommutative weighted Edmonds' problem in polynomial time, demonstrating that certain complex problems can be tackled efficiently [2].

In most discussions, deep learning means using deep neural networks. There are, however, a few algorithms that implement deep learning using other kinds of hidden layers besides neural networks.

Toshiba Memory Corporation Develops High-Speed and High-Energy-Efficiency Algorithm and Hardware Architecture for Deep Learning Processor November 06, 2018 03:37 AM Eastern Standard Time ...

Time to re-evaluate AI algorithms right from the design stage, experts urge With AI bias and errant outcomes surging, a call for more human involvement.

In this Artificial Intelligence podcast with Lex Fridman, computer scientist Donald Knuth discusses Alan Turing, Neural networks, machine learning and other AI topics from ant colonies and human ...

At the same time, progress in invariant theory has contributed significantly to the development of deterministic algorithms by establishing concrete polynomial degree bounds for matrix invariants ...