The article outlines a multidisciplinary approach to predictive maintenance in underground mining, leveraging AI to improve equipment reliability and safety.

Most proteins in blood are measured outside their functional and cellular context. Machine learning was used to integrate ...

The global chemical industry produces hundreds of long, repeating molecular chains called polymers. Only a handful comprise ...

Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.

A study carried out by researchers at the Center for Physical Sciences and Technology (FTMC) revealed that 37% of primary and ...

Inspired by principles from traditional Chinese medicine, researchers used AI to analyze tongue color as a diagnostic ...

Tests of large language models reveal that they can behave in deceptive and potentially harmful ways. What does this mean for ...

Researchers from Universiti Tun Hussein Onn Malaysia and Chettinad Institute of Technology developed a Golden Eagle-Assisted ...

In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study ...

Thinking Machines has released Tinker, an API for fine-tuning open-weight language models. The service is designed to reduce ...

To increase energy efficiency and reduce the carbon footprint of hydrogen fuel production, Fanglin Che, associate professor ...

Abstract: In order to achieve the improvement in the detection accuracy of electrical arc faults, a method combining window division with Empirical Mode Decomposition (EMD) and Wavelet Decomposition ...