In recent years, deep learning models have gained traction in predicting high-frequency equity returns by leveraging order book data, a shift from manual feature engineering. Petter Kolm and Nicholas ...

It is the computational processing of images that reveals the finest details of a sample placed under all kinds of different ...

Transformers enable the computer to understand the underlying structure of a mass of data, no matter what that data may relate to Text is converted to ‘tokens’ – numerical representations of the text ...

Navigating through tunnels or underground parking structures is a notorious blind spot for GPS-based systems. Now, researchers have developed a novel deep learning-enhanced framework that enables ...