SANTA CLARA, CA - April 01, 2026 - - As machine learning adoption continues to expand across industries, the demand for ...

AI language models, used to generate human-like text to power chatbots and create content, are also revolutionizing biology ...

Large-scale flow cytometry delivers critical biological insight by enabling multidimensional analysis of individual cells, ...

Data science is everywhere, a driving force behind modern decisions. When a streaming service suggests a movie, a bank sends ...

To date, the main role of AI in scientific research has been to assist with narrow tasks such as discovering chemical ...

This article is based on findings from a kernel-level GPU trace investigation performed on a real PyTorch issue (#154318) using eBPF uprobes. Trace databases are published in the Ingero open-source ...

A recent study explored rapid evaporative ionization mass spectrometry (REIMS) as a high-throughput, real-time alternative. By analyzing metabolomic fingerprints from pig neck fat, REIMS was combined ...

Researchers at the University of Hawaiʻi at Mānoa are using artificial intelligence and machine learning (AI/ML) to better understand what improves outcomes for individuals receiving treatment for ...

Abstract: There has been a growing trend in compressing and transmitting videos from terminals for machine vision tasks. Nevertheless, most video coding optimization method focus on minimizing ...

An international research team developed a multi-stage intrusion detection system that uses supervised and unsupervised AI techniques to detect and mitigate cyber threats in smart renewable energy ...