Data center company Crusoe Energy Systems LLC has reportedly raised $1.3 billion to acquire advanced hardware and support the rapid buildout of large-scale artificial intelligence data centers.
Social media giant Reddit is suing Perplexity AI and three other firms over alleged “industrial-scale” scraping of posts from its website. Perplexity – a San Francisco-based startup with its own ...
LAS VEGAS, Oct. 23, 2025 /PRNewswire/ -- Hyperscale Data, Inc. (NYSE American: GPUS), a diversified holding company anchored by Bitcoin ("Hyperscale Data" or the "Company"), today announced plans to ...
Reddit Inc. has launched lawsuits against startup Perplexity AI Inc. and three data-scraping service providers for trawling the company’s copyrighted content to be used to train AI models. Reddit ...
On Wednesday, Reddit filed a lawsuit against AI company Perplexity and three other companies alleging the AI company illegally scraped Reddit data through the use of data scraping companies based in ...
(Reuters) -Social media platform Reddit sued artificial intelligence startup Perplexity in New York federal court on Wednesday, accusing it and three other companies of unlawfully scraping its data to ...
Aligned Data Centers and Calibrant Energy have announced what the companies call a first-of-its-kind energy solution to address one of the data center industry’s most urgent constraints: access to ...
Hundreds in Hermantown, known more for its high school hockey prowess than activism, have coalesced in protest of a large-scale data center proposed for a rural corner of town. Fears of rising ...
Shares of CleanSpark Inc. surged as much as 13% after the Bitcoin miner announced that it was expanding into date-center infrastructure and the hiring of Jeffrey Thomas from Saudi Arabian AI firm ...
Abstract: Compound drought and heat events (CDHEs) have been intensifying under global climate change, posing significant threats to arid and semiarid regions and underscoring the imperative of ...
Abstract: Data quality is a fundamental challenge for downstream data mining tasks. While numerous studies have addressed data quality issues in various contexts, there is a notable lack of systematic ...