A new software package called CREsted, published in Nature Methods, gives researchers an end-to-end workflow for modeling and ...

An international reserch team developed two deep learning-based IDS models to enhance cybersecurity in SCADA systems. The ...

In an industrial park in Zhangjiagang, a small city on China's east coast, a large humming and hissing machine feeds on piles ...

Synthesizing tables—creating artificial datasets that closely resemble real ones—plays a crucial role in supervised machine learning (ML), with a wide range of practical applications. These include ...

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

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

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

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 ...

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 ...

Unsurprisingly, enormous investments are being made across the sector, from AI chatbots improving customer service to ...