Caltech professor of chemistry Sandeep Sharma and colleagues from IBM and the RIKEN Center for Computational Science in Japan are giving us a glimpse of the future of computing. The team has used ...

The study shows that machine learning and deep learning algorithms can accurately classify tree species using individual tree point clouds, and the operation process of PointMLP is more concise and ...

Previously, S&P only had data on about 2 million SMEs, but its AI-powered RiskGauge platform expanded that to 10 million.

In the future, as quantum computing technology continues to mature, quantum-assisted machine learning algorithms will play an increasingly important role across multiple industries.

TheSemiconductor Cybersecurity Market Research Report 2024-2034: Innovations in AI and Machine Learning, Quantum-Safe Cryptography, Secure Semiconductor Designs, and Use of Zero-Trust Architecture ...

Most machine-learning algorithms are based on artificial neural networks—programs inspired by the structure of the human brain.

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.

This study presents an innovative framework for a water quality monitoring system, emphasizing the integration of cloud-enabled mobile applications with advanced Machine Learning (ML) algorithms. In ...