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 ...

09/04/2025 4.1.0: Meituan LongCat Flash Chat, Llama 4, GPT-OSS (BF16), and GLM-4.5-Air support. New experimental mock_quantization config to skip complex computational code paths during quantization ...

For decades the data landscape was relatively static. Relational databases (hello, Oracle!) were the default and dominated, organizing information into familiar columns and rows. That stability eroded ...

The effort is drawing bipartisan support and is expected to come up again next year as officials grapple with the artificial intelligence boom’s side effects. States facing drought and dwindling ...

In deep learning model deployment, quantization techniques have emerged as a pivotal approach for overcoming computational bottlenecks and memory wall limitations by converting high-precision floating ...

Power demand from US data centers is set to surge to 106 gigawatts by 2035, according to BloombergNEF, a 36% increase from the research provider’s previous outlook in April. The upward revision 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 ...

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 ...

Dr. Kasy is the author of the book “The Means of Prediction: How AI Really Works (and Who Benefits).” Imagine applying for a job. You know you’re a strong candidate with a standout résumé. But you don ...