Synthesizing tables—creating artificial datasets that closely resemble real ones—plays a crucial role in supervised machine learning (ML), with a wide range of practical applications. These include ...

AI promises a smarter, faster, more efficient future, but beneath that optimism lies a quiet problem that’s getting worse: the data itself. We talk a lot about algorithms, but not enough about the ...

Washington-based Starcloud launched a satellite with an Nvidia H100 graphics processing unit in early November, sending a chip into outer space that's 100 times more powerful than any GPU compute that ...

The 3D printing laboratory, operating within the Simulation Centre of the Faculty of Medicine at Masaryk University (SIMU), has contributed to the development of 3D printing in medicine by launching a ...

A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial intelligence models—without needing access to the original training data.

The Trump administration’s sweeping artificial-intelligence policy aims to ensure that a U.S.-led technology stack is used at home and abroad, according to the Office of Science and Technology Policy ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

CEO of Scale AI Alexandr Wang testifies on July 18, 2023 in Washington, DC. Correspondent Meta’s $14.3 billion investment in Scale AI, the leading player in the AI data industry, was a very strange ...