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

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

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

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

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...

Artificial intelligence has crossed a new threshold in biology, helping design viruses that can seek out and kill drug resistant bacteria such as dangerous strains of E. coli. Instead of discovering ...

At Pocket Gamer Connects London 2026, we highlighted the women and non-binary people shortlisted for the Aurora awards - based on nominations received by ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Foundational Concepts in Programming Industrial Robots. Before you can get a robot to do anything useful, you need to understand how it works and the math behind its movements. It ...

Clinical and health care resource use burden were greater among patients with diagnosed hypereosinophilic syndrome or predicted hypereosinophilic syndrome via machine learning vs. those without the ...