MicroAlgo Inc. announced the QIRO algorithm for quantum-combinatorial optimization, enhancing efficiency in complex problem solving.

Using a range of real datasets and basic Python libraries for data manipulation, vector/matrix algebra, and automatic differentiation students will code up - from scratch - fundamental optimization ...

A team of researchers from the University of Professional Studies, Accra, led by Dr. Augustina Dede Agor, has completed one of the most detailed global reviews to date on the integration of artificial ...

This paper’s key contributions are a novel sample-efficient two-stage deep learning optimization framework inspired by the actor-critic algorithms developed in the Reinforcement Learning (RL) ...

Typically, in machine learning, techniques using algorithms such as derivative-based optimizers act as a guide for improving an AI model's performance.

Theory 42 (1996) 2118-2132] to construct learning algorithms based on greedy approximations which are universally consistent and provide provable convergence rates for large classes of functions.

REDWOOD CITY, Calif.--(BUSINESS WIRE)--Using algorithms derived from its neuroscience research, Numenta announced today it has achieved dramatic performance improvements on inference tasks in deep ...