A team of researchers from the University of Chicago's Pritzker School of Molecular Engineering (UChicago PME) has used ...

Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...

Dissolved Gas Analysis (DGA) is one of the most trusted diagnostic tools for assessing the internal condition of a ...

Engineers at the University of California have developed a new data structure and compression technique that enables the field of pangenomics to ...

Penn State researchers use large language models to streamline metasurface design, significantly reducing the time and expertise required for development.

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

Clarification: A previous version of this story had a different image. It has been updated for clarity. Walk into any kindergarten classroom this fall, and there’s a good chance students will be ...

Sequoia-backed AI design startup Visual Electric said that it is joining search startup Perplexity today. The company noted on its site that the team would be joining a new Agent Experiences group at ...

LGC Standards released 13C-labelled PFAS reference materials to support EPA Method 1633, enhancing calibration and accuracy in PFAS testing. PFAS are persistent synthetic chemicals linked to health ...

Abstract: Deep-learning methods have been widely used as an end-to-end modeling strategy of electrical energy systems because of their convenience and powerful pattern recognition capability. However, ...