In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, an age defined ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?

Researchers have determined how to build reliable machine learning models that can understand complex equations in real-world situations while using far less training data than is normally expected.

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

AI is a rapidly evolving field that has the potential to impact almost all aspects of life and society. In this article, AI refers to all levels of artificial intelligence, including Narrow AI, ...

Moonlake AI cofounders Sharon Lee, 25 and Fan-Yun Sun, 28 are developing an AI platform that automatically generates ...

If you are interested in learning more about artificial intelligence and specifically how different areas of AI relate to each other then this quick guide providing an overview of Machine Learning vs ...

To identify and evaluate candidate materials, process engineers must analyze an enormous amount of data. Bulk properties like resistivity or thermal conductivity are a starting point, but these ...

The key to developing flexible machine-learning models that are capable of reasoning like people do may not be feeding them oodles of training data. Instead, a new study suggests, it might come down ...

xIt would be greatly beneficial to physicians trying to save lives in intensive care units if they could be alerted when a patient’s condition rapidly deteriorates or shows vitals in highly abnormal ...