In the pursuit of solutions to complex global challenges including disease, energy demands, and climate change, scientific ...
In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...
Researchers at the Museum für Naturkunde Berlin, together with data scientists, have developed a new method to largely ...
He won over $250,000 for the discovery of 1.5 million unidentified objects.
The team utilized machine learning to analyze public data from the National Health and Nutrition Examination Survey.
Electrocatalysis sits at the heart of clean hydrogen production, fuel cells, and carbon dioxide conversion, yet progress ...
Lawrence Berkeley National Laboratory (Berkeley Lab) is working to transform petabytes of imaging data from advanced light ...
When it comes to powering aircraft, jet engines need dense, energy-packed fuels. Right now, nearly all of that fuel comes ...
A call to reform AI model-training paradigms from post hoc alignment to intrinsic, identity-based development.
Abstract: Artificial intelligence (AI) is transforming social science research by enabling scalable data analysis, predictive modeling, and causal inference, thereby reshaping the methodological ...
As the U.S. faces a critical healthcare workforce shortage, the Heritage Valley Health System School of Nursing, part of the Pennsylvania regional healthcare provider Heritage Valley Health System, ...
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