Trend-following funds, which use quantitative models and algorithms to trade market moves, have traversed the recent wild swings in gold and silver.

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

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

Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

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

New AI model decodes brain signals captured noninvasively via EEG opens the possibility of developing future neuroprosthetics ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

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

A mother's health during pregnancy, childbirth and the postpartum period is the foundation of lifelong well-being, directly ...

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

Singer Arijit Singh announced his retirement from playback singing in January 2026. He made a surprise appearance at Anoushka Shankar's concert in Kolkata.

The idea that quantum computing could transform medical artificial intelligence (AI) has gained momentum in recent years, driven by advances in cloud-accessible quantum platforms and hybrid computing ...