Adding big blocks of SRAM to collections of AI tensor engines, or better still, a waferscale collection of such engines, ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...

As AI systems grow more autonomous, Walrus argues that verifiable data infrastructure will determine which systems earn trust.

Researchers from the Department of Computer Science at Bar-Ilan University and from NVIDIA's AI research center in Israel ...

Thousands of years from now, what will remain of our digital era? The ever-growing vastness of human knowledge is no longer ...

A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...

While it’s easier than ever to deploy automation, it’s much harder to ensure those early investments won’t hold a company back as it scales.

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Cortex Code is designed to give a productivity boost to data management and operations, according to Snowflake EVP of product Christian Kleinerman.

Abstract: The rapidly expanding demand for intelligent wireless applications and the Internet of Things (IoT) requires advanced system designs to handle multimodal data effectively while ensuring user ...

Abstract: Power load forecasting is one of the important research topics in the field of power systems. Accurate power load forecasting can effectively reduce energy production costs and contribute to ...