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 ...

The founder of Couth Studios is applying machine-learning tools and customer data to challenge fashion’s traditional ...

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

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

How has crypto market manipulation evolved? Beyond wash trading, know how liquidity spoofing, social signal engineering, and code-based intent are shaping modern price dynamics.

A new platform called Rentahuman.ai flips the usual narrative about AI. Instead of people hiring software to do tasks, ...

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 ...

John Foley Hi Rob. Thanks for exposing my midlife crisis to the audiosphere.

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 ...

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