Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...

The days of the company’s “don’t be evil” mantra are long gone. Switching away isn't as hard as you might think.

In the face of rising emissions from data centres, researchers are turning to micro-explosions in glass, and using DNA to solve big data's big problem.

Image Marina Sirota, PhD, in her lab at UCSF Mission Bay. Sirota and her team used AI to analyze pregnancy data, enabling a master's student and a ...

The US DOE has set AI-driven challenges under the Genesis Mission to advance nuclear energy, fusion, cleanup, and national ...

Steve Blank is a Senior Fellow at Stanford's Gordian Knot Center for National Security Innovation, where he operates at the intersection of tech innovation and national defense. A veteran of the Air ...

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Master proteomics database searching. Learn how algorithms match mass spectra to sequences and optimize identification.