Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

To his credit, Kasy is a realist here. He doesn’t presume that any of these proposals will be easy to implement. Or that it will happen overnight, or even in the near future. The troubling question at ...

In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.

Medical researchers at Mass General Brigham say the self-supervised foundational model can identify inherent features from ...

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

The Amazon Echo line makes for a neat hub for simple home automations, but not every user realizes just how much data it ...

Due to climate change, extreme weather events such as flooding are expected to increase in Germany in the future. This poses hidden risks to the health care system that have hardly been the focus of ...