Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...

This paper comprehensively surveys existing works of chip design with ML algorithms from an algorithm perspective. To accomplish this goal, the authors propose a novel and systematical taxonomy for ...

Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to learn and update at different speeds.

Trading used to be about gut feelings and reading charts. Traders sat at desks watching screens, trying to spot patterns that meant prices would go up or down. That world exists still but machines can ...

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing, ...

Sahaj Tushar Gandhi, a machine learning engineer specialising in computer vision and AI applications, works across academic ...

Source: Created by Alex Danvers on Canva. Replicating studies is key to gaining confidence in them. We don’t just want psychological effects that happened once in a lab, we want effects that are ...