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

As well as behavioural and technical issues, firms must also solve a variety of organisational problems to make AI work for ...

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

When a student writes their first line of code and sees a computer respond, something powerful happens -- curiosity turns ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

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

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

AI's coding capabilities prompt students to reevaluate the value of traditional computer science education and future career paths.

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 ...