The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Long before the AI hype kicked off, Eric Schwartz was already working with machine learning tools to develop optimized ad ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

An examination of antitrust and competition considerations relating to the use of pricing algorithms and other AI systems, ...

There is a need for design strategies that can support rapid and widespread deployment of new energy systems and process technologies. In a previous work, we introduced process family design as an ...

A Q-Learning Based Brainstorming Optimization Algorithm for Solving Multimodal Optimization Problems Abstract: Large models involve solving more complex problems using intelligent computing methods, ...

This article comprehensively reviews the latest application progress of machine learning in multi-objective evolutionary algorithms for scheduling problems. We review various machine learning ...

A machine-learning-assisted optimization (MLAO) method for antenna geometry design (AGD) (MLAO-AGD) is proposed. By combining machine learning (ML) methods, including a convolutional neural network ...