Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain ...

Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain the criteria AI uses ...

The overwhelming contributor to energy consumption in AI processors is not arithmetic; it’s the movement of data.

This article provides a retrospective on one such case: the TRIPS project at the University of Texas at Austin. This project started with early funding by the National Science Foundation (NSF) of ...

Artificial Intelligence (AI) is evolving at a pace that has become difficult for many organizations to track. New foundation ...

Blue Origin’s New Glenn has moved from PowerPoint to pad, and now to a successful orbital debut, just as SpaceX’s Starship program hits a more complicated stretch of its test campaign. The result is a ...

Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...

The performance of skilled behaviors requires a balance between consistency and adaptability. Although the neural mechanisms that regulate this balance have been extensively studied at systems and ...

A new technical paper titled “Toward Open-Source Chiplets for HPC and AI: Occamy and Beyond” was published by researchers at ...

Large language models (LLMs), such as the model underpinning the functioning of OpenAI's platform ChatGPT, are now widely ...