Raindrops form inside clouds when tiny particles of water collide and stick together, forming larger droplets that eventually ...
A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.
XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...
UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.
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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 ...
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 ...
One of the biggest myths around artificial intelligence is that it can simply create a new medicine on its own. That is not ...
There's an important distinction between AI that just works today, and AI that lasts at scale. Many companies optimize hard ...
The infrastructure moment for AI-driven drug discovery continues to accelerate, with billion-dollar investments flowing into ...
A new active-inference account reframes attachment styles as calibrated models of the world—with consequences for how we ...
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