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 ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

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

In a post to Github on Tuesday, the social media giant purported to share its secret sauce.

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

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

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 ...

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 ...

MathWorks expert Seth DeLand explains how AI automation frees engineers to focus on higher-level creative problem-solving.