Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Researchers have uncovered a malware campaign targeting 7-Zip users through fake domain 7zip.com, turning infected computers ...

Growing up multiracial in the 1990s, Gabriel "Joey" Merrin regularly encountered demographic forms that forced an impossible choice: Pick one box. Deny the others. "That act of being forced to choose, ...

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...

Google-spinoff Waymo is in the midst of expanding its self-driving car fleet into new regions. Waymo touts more than 200 million miles of driving that informs how the vehicles navigate roads, but the ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

MongoDB Inc. is making its play for the hearts and minds of artificial intelligence developers and entrepreneurs with today’s announcement of a series of new capabilities designed to help developers ...

Abstract: Generative artificial intelligence (GenAI) refers to the use of neural networks to produce new output data, which could be in the form of text, image, audio, video, or other modalities.

Abstract: The widespread adoption of Transformers in deep learning, serving as the core framework for numerous large-scale language models, has sparked significant interest in understanding their ...

The U.S. Department of Energy building is seen behind a sign marking the location of the agency's headquarters on March 18, 2025, in Washington, D.C. (Photo by J.David Ake/Getty Images) The Department ...

Oracle Corp. today announced the general availability of Oracle AI Database 26ai and Oracle Autonomous AI Lakehouse, both aimed at supporting artificial intelligence training and inference across ...