The Information Processing and Machine Learning Laboratory (IPML) supports research in theoretical algorithm development in digital signal processing, adaptive and nonlinear signal processing, machine ...

Researchers milling around in a wide-open laboratory with lots of machines and computers. Scientists in Recursion Pharmaceuticals' automated high-throughput screening laboratory in Salt Lake City, ...

The Machine and Neuromorphic Perception Laboratory (a.k.a. kLab) in the Chester F. Carlson Center for Imaging Science at the Rochester Institute of Technology (RIT) uses machine learning to solve ...

The efficiencies and insights offered by artificial intelligence (AI), machine learning (ML), predictive analytics, and other emerging technologies present abundant opportunities for laboratories. A ...

The progress in laboratory automation could be one of the most consistent changes in research in the life sciences and biomedicine over the past 30 years. The evolution of this field borders on the ...

Staff at the New Mexico laboratory took Nextgov/FCW inside their newest supercomputer installation and its potential to support artificial intelligence applications for both public and classified ...

Sen. John Fetterman of Pennsylvania and Sen. Ted Budd announced legislation this month to create the first national system of programmable cloud laboratories with the aim of accelerating scientific ...

PhD graduates in analytical sciences can leverage transferable skills for careers in regulation, publishing, and startups, beyond traditional academia and R&D. Women in chromatography emphasize the ...

Forbes contributors publish independent expert analyses and insights. Rachel Wells is a writer who covers leadership, AI, and upskilling. If you're looking for a job that pays six figures, is always ...