"In machine learning, local minima—not global minima—are what practical algorithms find and use successfully. This sparked ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Leverages several algorithmic approaches: AutoML relies on Bayesian, evolutionary, regression, meta-learning, transfer learning, combinatorial optimization, and reinforcement learning algorithms. Hubs ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Mathematical optimization and machine learning are two tools that, at first glance, may seem to have a lot in common. Newsletters Games Share a News Tip Featured ...

Aqarios' platform Luna v1.0 marks a major milestone in quantum optimization. This release significantly improves usability, ...

MicroAlgo Inc. Develops Classifier Auto-Optimization Technology Based on Variational Quantum Algorithms, Accelerating the Advancement of Quantum Machine Learning PR Newswire Fri, May 2, 2025, 11: ...

shenzhen, May 20, 2025 (GLOBE NEWSWIRE) -- Shenzhen, May. 20, 2025/––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), announced that quantum algorithms will be deeply integrated ...