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

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 ...

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

A recent study has found that using a wearable tracker may be able to detect depression relapse before it occurs via sleep patterns. Sleep and depression are known to be linked. S ...

TikTok has grown beyond being just a Gen Z platform. In 2026, TikTok stands as one of the most valuable digital ecosystems for brands across industries. From fashion and beauty to education, finance, ...

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

No system — human or machine — will hit 70% against the spread over a meaningful sample size. Sports Insights ran the math ...

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.

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

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

As a movement, it has largely refused to engage seriously with AI, ceding debate about a threat and opportunity to the right ...