Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

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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 ...

Dominion Energy says its upcoming $11-a-month rate hike is driven by grid upgrades and inflation — not Virginia’s rapidly growing data-center industry. Critics note that Virginia hosts one of the ...

Current Climate brings you the latest news about the business of sustainability every Monday. Sign up to get it in your inbox. Anyone holding out hope that increases in electric power prices could ...

COWETA COUNTY, Ga. — Massive data centers proposed for metro Atlanta expect to use millions of gallons of water per day. Some of those data centers are planning to use more water than entire Georgia ...

As AI becomes more common and decisions more data-driven, a new(ish) form of information is on the rise: synthetic data. And some proponents say it promises more privacy and other vital benefits. Data ...

CleanSpark CEO Matt Schultz laid out the bitcoin mining company's new strategy to develop AI data centers alongside its crypto mining operations in an appearance on CNBC's "Crypto World." He says ...

Abstract: Itemset mining is a popular data mining technique for extracting interesting and valuable information from large datasets. However, since datasets contain sensitive private data, it is not ...

The huge demand for energy to power data centers will be a key focus for antitrust regulators in the future, a former top official at the U.S. Justice Department’s trustbusting division said.