Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

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

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Global climate models capture many of the processes that shape Earth's weather and climate. Based on physics, chemistry, ...

The future of work is here. Professionals who master AI tools are gaining an edge, not losing jobs. Employers now value ...

In 1930, a young physicist named Carl D. Anderson was tasked by his mentor with measuring the energies of cosmic ...

To understand the role of storytelling in contemporary pop music, researchers at UC Berkeley created a machine learning ...

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

BENGALURU: Despite Bengaluru being the IT capital of India, industry experts, whose companies are based in the city, are worried over the lack of AI talent amon ...

Smart acoustic and ultrasonic systems that can adjust and optimise to their environments are changing the way connected ...

Another machine unlearning method recently was developed specifically for AI-generated voices. Jong Hwan Ko, an associate ...