Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
2UrbanGirls on MSNOpinion
Neel Somani on formal methods and the future of machine learning safety
Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...
In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.
Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...
SANTA CLARA, CA - February 12, 2026 - - Interview Kickstart has launched a new Data Science course designed for working professionals seeking to build practical, production-ready skills in data ...
How hands-on coursework, industry experience, and community prepared APAN graduates to lead in data-driven roles.
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
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