In a report out today, the Video Advertising Bureau alleges significant discrepancies in Nielsen’s data-backed audience measurement methodology that serves as a basis for buying and selling TV ads.

Virginia utilities should be able to tap the brakes on new data centers and other big power users if they don’t have the power plants on hand to supply them, a General Assembly panel said. Read the ...

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 ...

Objectives: This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold ...

The Wichita Falls Economic Development Corporation on Thursday took a step toward having a large data center locate here. The board voted to sell more than 225 acres in the Wichita Falls Business Park ...

The Price to Earnings (P/E) ratio, a key valuation measure, is calculated by dividing the stock's most recent closing price by the sum of the diluted earnings per share from continuing operations for ...

Do you like Lionel, Marx, MTH, K-Line, Menards, and other 3-rail O gauge trains? Do you like big trains but have a small budget? This is the channel for you! Novices are welcome here! I received my ...

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.

Even though it might seem like Tesla has a lot going on—robotaxis, literal humanoid robots, and that ever-elusive affordable model that just keeps getting pushed back—its aging core lineup has only ...

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, ...

A new crowd-trained way to develop LLMs over the internet could shake up the AI industry with a giant 100 billion-parameter model later this year. Flower AI and Vana, two startups pursuing ...