A Cornell University fellow develops strategies to extract more than correlations from algorithms’ predictions.

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

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...

Orthopedic surgeons are living in an era of unprecedented technological advancement. Robotic-assisted surgery, AI-driven ...

TCTMD spoke with Lior Jankelson, MD, PhD (NYU Langone Health, New York, NY), an electrophysiologist who leads the AI/machine ...

Apophenia is the mind’s tendency to find meaning in randomness. It shapes creativity, emotion, and misunderstanding, ...

There's both art and science to being able to make a living as a golf influencer. Here's how some have gotten it to work ...

The video-sharing service YouTube does not engage in practices aimed at getting users addicted to the site, an attorney for parent company Google told jurors Tuesday, while also denying that a woman ...

Follow-up observations with the Five-hundred-meter Aperture Spherical Telescope (FAST) and new data from Parkes and the Green ...

In A Nutshell Harvard researchers developed BrainIAC, a single AI model that can be adapted to analyze brain scans for ...

Mohanty and a multi-institution team demonstrated a fast, explicit approach to constructing lossless vertex expansion networks.