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 ...

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 ...

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

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

From smarter flight planning to personalised airport experience, AI is changing how we fly, often behind the scenes, but with ...

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

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

Smart acoustic and ultrasonic systems that can adjust and optimise to their environments are changing the way connected ...