Browsing: AI & Automation

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The Smithsonian Institution is using artificial intelligence to better understand its collection related to the American Revolution

Houston’s Rice University is adding onto it’s AI bachelor’s degree with a new master’s program. FOX 26’s Sakura Gray explains the program and how it’s different from AI certification.

Search agents powered by large language models (LLMs) are transforming how enterprises retrieve information. Rather than requiring users to craft the perfect query, a search agent autonomously decides what to search for, which retrieval strategy to use, and when to stop searching. It does this across multiple rounds of interaction, refining its approach based on…

The 2026 edition of IMTS – The International Manufacturing Technology Show, held Sept. 14-19 in Chicago, reflected growing investment in manufacturing technology and increased interest in artificial intelligence, automation and advanced manufacturing.

MACHINE learning models demonstrated moderate performance in predicting acute and late radiation-induced skin reactions in patients with locally advanced rectal cancer receiving neoadjuvant chemoradiotherapy. The retrospective analysis included 358 patients and integrated clinical, anatomical, haematological and dosimetric data.

In 2017, Google introduced Federated Learning (FL) a machine learning technique that trains models across decentralized, private data. It has been used to power everyday helpful features, including next-word prediction and Smart Compose on Gboard, reply suggestions in Google Messages, and Smart Text Selection in Android.

An AI model downloaded over 3 billion times and used by U.S. firms like Airbnb and Uber is embedded with China-friendly narratives and programmed for censorship, new research shows.

Trump expected to name Jay Clayton as AI czar 02:50 Get more newson Oct. 2, 2026, 11:34 AM EDT

An optimized machine learning algorithm successfully forecasted the occurrence of next-day migraine attacks, with patient-reported headache severity over the preceding 30 days serving as the most influential predictive factor.