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

Scientists discovered that two brain chemicals in honey bees can predict how fast they will learn, offering new insight into ...

Ivan Stefanov, CEO and Co-Founder of NOTO, shares how AI, machine learning and unified platforms are reshaping financial crime prevention for institutions ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic dynamics associated with rapid development in established neighborhoods.

Evolving toxicity assessments for engineered nanoparticles underline the importance of predictive models and life-cycle risk ...

In hopes of providing a better monitoring system for those seeking to mitigate the negative effects of gentrification, ...

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized ...

Experts share step-by-step instructions for how to clean a washing machine (both inside and out)—plus how often you should do ...

“Most of our races are on machine-made snow,” 2026 U.S. Olympic team cross-country skier Rosie Brennan told us ahead of the ...

Education reforms have triggered a national debate, and it is time to shift our focus from the mantra of memorising facts to ...

Even in the best-case scenario, it’s incredibly disruptive. And this is where you’ve been quoted saying that A.I. will disrupt 50 percent of entry-level white-collar jobs. On a five-year time horizon, ...