After a series of marathon meetings packed with project opponents, Naperville’s plan commission has recommended approval of a controversial proposal to build a data center on the north side of the ...

Lansing — Five Michigan lawmakers have written in support of DTE Energy Co.'s request currently pending before the Michigan Public Service Commission that would pave the way for a massive data center ...

ABSTRACT: This study examines the impact of digital transformation on the performance of commercial banks in Botswana, focusing on key performance indicators such as profitability, efficiency, market ...

Abstract: This article investigates the problem of modeling regression with labeled and unlabeled data samples commonly found in industrial processes. By incorporating additional information on ...

Last month, Nielsen introduced its new "Big Data + Panel" measurement, which combines ratings data from traditional households with statistics from smart TVs and set-top boxes. Nielsen's new system ...

Chelsea Cirruzzo is a Washington correspondent at STAT, where she covers HHS. You can reach Chelsea on Signal at chelseacirruzzo.42. Isabella Cueto covers the leading causes of death and disability: ...

Aug 28 (Reuters) - Elon Musk's artificial intelligence startup, xAI, on Thursday released a new "speedy and economical" agentic coding model, marking its entry into a key focus area for AI companies.

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.

This is bad, but I feel like at some point the medical community will just treat the current CDC and FDA as illegitimate and forge their own path. Beyond the benefits to public health, providing ...

As CEOs trip over themselves to invest in artificial intelligence, there’s a massive and growing elephant in the room: that any models trained on web data from after the advent of ChatGPT in 2022 are ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...