Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Blame it on the AI slop overwhelming her social media feeds. Pansino used to see posts from real bakers and friends; now, they're being crowded out by AI-generated clips. There's a whole genre of slop ...

The tax landscape has shifted beneath our feet. What used to be manual reviews and random selections has morphed into ...

To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.

For India, a 10% sampling framework would signal a new era of transparency, expanding the DGCA’s role to monitoring airline ...

Meta CEO Mark Zuckerberg was scheduled to testify in a Los Angeles courtroom Wednesday as his and other social media ...

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

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

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

In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.

Meta CEO Mark Zuckerberg is scheduled to testify Wednesday in the landmark social-media trial taking place in a downtown L.A. courtroom, where a jury is being asked to determine whether child platform ...

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