Abstract: In this paper, we present a big data-based stock price prediction method to analyze market trends better. Investors and market analysts need to predict correctly as the stock market is ...

AI data centers can operate without using peak power continuously, according to the results of a UK trial, a finding that could have implications for electricity systems worldwide. Grids from the US ...

In pet genetics, cancer research, and beyond, Charlie Lieu, MBA ’05, SM ’05, has spent her career harnessing massive data sets to make the world better for everyone. A photogenic green-eyed Russian ...

Feb 10 (Reuters) - Microsoft (MSFT.O), opens new tab is exploring using superconducting power lines in its data centers, which could potentially accelerate its massive U.S. build-out of the server ...

The proliferation of data centers in Arizona raises concerns about the strain on the state's water and power resources. Existing and planned data centers in Maricopa County could nearly double the ...

Data center operators and utilities often do not disclose facility-specific energy and water usage data. The Republic built a database to estimate data centers' energy capacity by analyzing air ...

Does Nielsen have the power to bring a halt to the forces that keep shrinking the audience for cable TV? In the long term, no. But a new twist in the company’s estimations of the total number of ...

A Florida Senate committee unanimously advanced a bill that would regulate large data centers. Supporters say the measure protects power grids, water supplies, and everyday utility customers. Critics ...

SALT LAKE CITY (ABC4) — A new bill would keep AI data centers’ water use information from the public record. Now, conservationists are pushing back as over 2 million Utahns remain in a drought. In ...

Tech companies are building data centers as quickly as possible to run AI. These facilities are controviersial because they use copious amounts of electricity and might tax an electrical grid that in ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...