In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...
In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
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 ...
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RIoT State of the Region: AI, automation make for uncertain economy, opportunities for entrepreneurs
RIoT offers their annual, bi-partisan, collaborative State of the Region address to highlight opportunities and growth across ...
Antimicrobial resistance (AMR) is diminishing the effectiveness of existing antibiotics and intensifying the need for discovery pipelines that are both ...
With its ability to enhance predictive accuracy, quantum computing may significantly lower R&D costs in pharmaceuticals by reducing candidate failures.
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...
Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...
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