Abstract: This study focuses on digital agriculture and explores its role in the agricultural economic growth system. Through comprehensive literature analysis, the core concept of digital agriculture ...

‘Twas the fight before Christmas? Now that Nielsen has completely switched over to its brand new Big Data + Panel offering, the Video Advertising Bureau (VAB) isn’t happy with how the company’s fall ...

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.

ANGELES. CONVERSATIONS ON ARTIFICIAL INTELLIGENCE THIS MORNING IN JUPITER, GOVERNOR RON DESANTIS HOSTED A PANEL DISCUSSION TALKING ABOUT DATA CENTERS AND THE USE OF AI IN FLORIDA. OUR REPORTER, RACHEL ...

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 ...

What would a Tesla be without controversy and split opinions? The Tesla Model Y’s midcycle refresh brought significant enough changes to earn it a spot in our 2026 SUV of the Year competition. The ...

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 ...

Marking the latest iteration of TV ratings during the increasingly complicated and fragmented streaming era, this fall the industry will adopt Nielsen‘s Big Data + Panel, the first accredited national ...

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.