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

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

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

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

Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the ...

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

A new peer-reviewed study published in the journal Algorithms signals a major shift in how humanitarian logistics can be ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Today the world of Egyptology faces a silent crisis – not of looting, although that plays a part, but of disconnection. Walk into any major museum, from Copenhagen to California, and you see glass ...

I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...