AI’s biggest constraint isn’t algorithms anymore. It’s data…specifically, high-quality, forward-looking data. It is the “Rare ...
In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
Applicant tracking systems scan for exact keyword matches before reviewSpecific tools and frameworks signal real project depth and expertiseClear ...
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 ...
RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.
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Why metal microstructures matter: AI pinpoints stress hotspots to guide safer designs
Metals are made of randomly oriented crystals at the microscopic-length scale. The alignment of the crystal faces creates an infinite number of configurations and complex patterns, making simulations ...
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 ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Metals are made of randomly oriented crystals at the microscopic-length scale. The alignment of the crystal faces creates an infinite number of ...
By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
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