IEEE

Research on an Algorithm for Optimizing the Training Effect of Basketball Players Using Big Data

Abstract: This paper proposes an innovative training effect optimization algorithm based on DRL. The algorithm combines the multi-dimensional data of basketball players (such as running trajectory, ...

The 10 Best AI Courses to Take in 2026

Explore the 10 best generative AI courses to take in 2026, with options for hands-on training, certifications, and practical ...
IEEE

Intelligent hydrogen flame recognition method: Comparisons among SVM, GA-SVM and PSO-SVM

Abstract: In this paper, the Genetic Algorithm and Particle Swarm Optimization are used to obtain the kernel parameters of the radial basis function of the Support Vector Machine (SVM), and the ...
Assembly Mag

Can AI Predict Loose Bolts in Automotive Assemblies?

While the behavior of bolts under static tensile and shear forces is well known, their behavior under dynamic loading, such as vibration, is less understood. Many theories have been put forth to ...
GitHub

Python implementation of the TurboQuant and QJL vector quantization algorithms.

turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...