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 ...

Finbold's AI prediction platform estimated, on average, that the Bitcoin price will rally a mere 1.6% by January 31, 2026.

Artificial reinforcement learning is just one lens to evaluate organizations. However, this thought experiment taught me that ...

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to artificial intelligence ...

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 ...

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

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

In 1854, London was struck by a devastating cholera outbreak. Public authorities responded using the best tools and scientific understanding available at the time.Disease was widely believed to spread ...

A team of researchers from the University of Chicago's Pritzker School of Molecular Engineering (UChicago PME) has used Quantum Machine Learning (QML) to identify cancer early.