Cannabis is now entering a similar inflection point, where algorithms may shape what gets grown, how it’s sold, and who wins in a rapidly growing industry.

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

By Eric Butterman SHARE From autonomous cars to video games, reinforcement learning (machine learning through interaction ...

New AI model decodes brain signals captured noninvasively via EEG opens the possibility of developing future neuroprosthetics ...

A new study finds that humans and AI spot different kinds of deepfakes — hinting at the need to team up to fight them.

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

AI is everywhere, but not all of it works as intended. Analysts estimate that mistakes, misfires, and misapplications of AI ...

Machine learning systems embed preferences either in training losses or through post-processing of calibrated predictions. Applying information design methods from Strack and Yang (2024), this paper ...

High school student Matteo Paz wrote an algorithm with Caltech that helped find changes in space the naked eye missed, earning him a published paper and prize.

Ricursive Intelligence, founded by two former Google researchers and valued at $4 billion, is among several efforts to ...

Music recommendation algorithms were supposed to help us cut through the noise, but they just served us up slop. If you buy something from a Verge link, Vox Media may earn a commission. See our ...