David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...
A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.
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Blame the model, not the machine—better data helps 3D-printed metamaterials match predictions
Additive manufacturing, such as 3D printing, provides an excellent opportunity to design metamaterials: materials with an engineered structure that leads to desired properties such as, for instance, ...
The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...
As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...
The world's first arena for predictive intelligence, Forge is a live environment where machine learning models compete on real-world problems and improve together, built on the thesis that the future ...
Wildfires are becoming more frequent and more intense worldwide. Fires often become infernos because of heat, drought and wind, especially in the summer. The problem is compounded by the climate ...
New machine learning framework predicts promising nucleoside hydrogels before they are synthesized and tested in the ...
Government agencies face increasingly sophisticated security challenges in a world driven by digital transformation.
A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...
Medicine has always operated as an “evidence based” field, meaning that it generally pursues experimentation to gather ...
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