Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

A new technical paper titled “Emerging Nonvolatile Memory Technologies in the Future of Microelectronics” was published by ...

Recentive’s four asserted patents involved software for generating event schedules and network maps using machine learning models trained on historical data. Although the applications had ...

More information: Zhenghao Yin et al, Experimental quantum-enhanced kernel-based machine learning on a photonic processor, Nature Photonics (2025). DOI: 10.1038/s41566-025-01682-5 ...

Although most scholars say learning math algorithms like regrouping in addition are essential, some worry that schools don't do enough to support the concepts undergirding these common procedures.

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve researchers' ability to detect complex genetic alterations in cancer ...

Inside the Session What: Predicting the Future using Azure Machine Learning When: Aug. 7, 2025, 9:30 a.m. - 10:45 a.m. Who: Eric D. Boyd, Founder and CEO of responsiveX Why: Learn the fundamentals of ...

Assessing performance on the 378,717 complete records, the model achieved an AUROC of 0.845 (Fig 2) and for those 15,257 records with at least one missing result, the model achieved an an AUROC of ...

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.