Most of the earthquakes we hear about are due to tectonic plates colliding or sliding past each other near plate boundaries.

Recent progress in deep learning has significantly impacted materials science, leading to accelerated material discovery and innovation. ElemNet, a deep neural network model that predicts formation ...

They say they've figured out what caused them. The post Scientists Detect Hundreds of Earthquakes Deep Beneath Antarctica ...

(Jose A. Bernat Bacete/Moment/Getty Images) If a movie opened with scientists discovering hundreds of earthquakes deep under ...

With tens of millions of annual cases, gonorrhea is the second most frequently reported sexually transmitted infection (STI).

A major scientific advance in protein modeling developed by Microsoft Research AI for Science, has been published in Science. The study introduces BioEmu, a generative deep learning system that ...

Multiaxial fatigue failure of metals, a common issue in industrial production, often leads to significant losses. Recently, many researchers have applied deep learning methods to predict the ...

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...

Eight-month live online programme by CEC, IIT Roorkee equips professionals to build applied expertise across Python, machine ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of payments. We live in a world where machines can understand speech, recognize faces, and even generate ...

Overview AI and big data posted the sharpest jump on WEF's 2025 skills ranking, up 17 percentage points in two years, while ...