While generative AI like ChatGPT has become a part of our daily lives, perhaps surprisingly few people truly understand the ...

An explanation of what deep learning is, tailored for beginners. We will organize the differences between AI and machine ...

Urban heat islands are a solvable data problem: this piece shows how to combine free satellite imagery, standard ...

Ex-employees claimed some of the company’s models sought to identify bettors whose gambling losses were likely to increase ...

A loss function converts the difference between predictions and targets into a quantity that learning algorithms try to minimize. This guide explains the mechanism, trade-offs, evaluation, and ...

Microsoft file patent for in-game ad system that could use machine learning and player credits to avoid, or gamify the ...

Lead and cadmium are among the most insidious contaminants in the world’s drinking water. Colorless, tasteless, and dangerously persistent, these heavy metal ions accumulate in the bodies of living o ...

Clinical machine learning is increasingly used for prediction, diagnosis, prognosis, risk stratification, and treatment-related decision support. These ...

Payments firms need a way to identify where artificial intelligence is being used and who’s responsible for it, as well as to monitor how those systems ...

Inbolt aims to bridge the gap between robot simulation and production with runtime vision that adapts CAD-derived ...

Affirm CEO Max Levchin said in an interview with CNBC that while human underwriters “could never do what we're doing with transformers,” they would not replace them completely.

Researchers have unveiled a new artificial intelligence framework that can recognize how people learn by simultaneously ...