Artificial intelligence combined with hyperspectral imaging can now detect toxic fungal contaminants like mycotoxins in grains and nuts before they reach consumers. This breakthrough offers a rapid, ...

A new UTSA study exposes how AI coding assistants can hallucinate fake software packages—creating an easy gateway for hackers to hijack your code with a single, trusted command.

This perspective paper proposes a comprehensive, three-axis blueprint to integrate AI into water treatment at the technological, engineering, and industrial levels. By transforming rigid systems into ...

Researchers have developed Torque Clustering, a new AI algorithm that mimics natural intelligence, enabling unsupervised learning with unprecedented accuracy and efficiency.

Motic Instruments and Media Cybernetics Inc. have partnered to integrate advanced microscopy with AI-powered image analysis, delivering precise and efficient imaging solutions for life sciences and ...

Researchers developed a machine learning model to predict defects in semi-solid die casting, enhancing quality control and paving the way for broader industrial applications.

Cedars-Sinai is leading the way in AI-driven nursing innovation with Aiva Nurse Assistant, a mobile app that streamlines documentation through voice dictation. By reducing administrative burden, this ...

Researchers in China have developed CLAP, a novel AI system that uses reinforcement learning to automate and enhance penetration testing for large-scale networks. It significantly reduces the steps ...

Researchers at the University of Tokyo developed ADOPT, a novel optimization algorithm that overcomes convergence issues in adaptive gradient methods, promising more reliable and efficient training ...

Researchers from the Chinese Academy of Sciences emphasize the urgent need to align AI data systems with the complex, multi-level nature of scientific data to improve AI performance and reliability.

A new optical chip-connection system aims to break the “memory wall” that limits AI model growth and computing speed by replacing traditional electrical connections with reconfigurable light pathways, ...

Researchers have developed an AI-powered monitoring system that links individual honeybee exposure to neonicotinoid pesticides with colony-wide health effects. Even low-level exposure was shown to ...