Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has long been slow, expensive, and heavily empirical. Machine learning is now ...
A new *Scientific Reports* study used machine learning to compare pyramidal and polarized training for recreational marathoners, finding polarized programs improved finish times by 30% more despite ...
As AI accelerates across biopharma and other science-driven industries, organizations are encountering a critical bottleneck: advanced technologies fall short without proper scientific context. In a ...
Combining machine learning and feature selection, this research accurately predicts aluminum levels in marine environments, ...
Abstract: The creation and inference of mathematical models is central to modern scientific discovery. As more realism is demanded of models, however, the conventional framework of science-guided ...
There is significant interest in the development and application of foundation models for scientific discovery. Foundation models possess the capacity to generate outputs or findings and discern ...
CU Anschutz researcher Michael A. David, PhD, is turning to a subset of AI to enhance the field of orthopedics and helping others do the same.
A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden changes in fluid behaviour, improving speed and cost of identifying these ...
This eBook takes you inside the evolving sensing stack, curating articles that track the latest innovations in sensor technologies. Machine Design’s editors cover practical sensor selection under ...
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