Troy Mahr, Director, Rockwell Automation, explains how achieving autonomous operations requires integrating industrial data and AI to ...
A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how systems evolve over time and reduces thousands of variables into compact ...
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Scientists reduce the time for quantum learning tasks from 20 million years to 15 minutes
Learning how a physical system behaves usually means repeating measurements and using statistics to uncover patterns. That ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
The fund seeks to enable researchers to make leaps rather than incremental advances in the natural sciences and engineering.
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
Artificial intelligence (AI) and machine learning (ML) are revolutionizing the way we understand and predict soil processes. Yet, while data-driven models ...
Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...
Test vendors use AI and machine learning to handle massive data volumes from complex electronics and detect hard-to-find ...
We've all been there, protecting our ears—the school play in the gym or community hall, where sound is distorted due to ...
What will be the next blockbuster research to emerge from Princeton’s labs? No one can say for sure, but history tells us ...
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