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

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

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

Financial word of the day: Heteroscedasticity describes a situation where risk (variance) changes with the level of a ...

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 ...

Cannabis is now entering a similar inflection point, where algorithms may shape what gets grown, how it’s sold, and who wins in a rapidly growing industry.

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

NR Narayana Murthy, co-founder of Infosys, reflects on leadership, governance and India’s entrepreneurial future in a wide-ranging conversation with . He argues for compassionate capitalism, founder a ...

Artificial intelligence is becoming a useful tool across a wide array of sectors. Therefore, it is little surprise that AI ...

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