In smart grid management, ML enables dynamic control of distributed energy sources, managing real-time energy flows and ...

A novel algorithm created by researchers at the University of Rochester incorporates artificial intelligence and machine ...

A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen ...

Structural reliability analysis is the key approach to assess uncertainties so that to increase the safety of engineering structures. Quantifying the failure probability (FP) is central to direct the ...

By dramatically reducing design time and minimising errors, AI-powered design tools are changing the economics of land development. Lower holding costs, reduced delays, and fewer design revisions ...

The writing sequence of numerals or letters often affects aesthetic aspects of the writing outcomes. As such, it remains a challenge for robotic calligraphy systems to perform, mimicking human writers ...

Understanding the electronic, structural, and dynamical properties of highly oriented pyrolytic graphite (HOPG) and its interface with water is crucial, as its layered structure, vacancy defects, and ...

CHAI certified its first partnership for AI model validation after a 16-month effort to get a nationwide network of AI assurance labs up and running.

The capture of low concentration alcohol VOCs (methanol and ethanol) from the air has also attracted more and more attention. In this work, high-throughput computational screening (HTCS) and machine ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

SAVANA, a machine learning algorithm, enables accurate detection of structural variants and copy number aberrations in cancer genomes using long-read sequencing data.