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 ...

New Analyst Studio capabilities-including SpotCache and agent-augmented data modeling-transform how data teams profile, mash up, and secure data for the next generation of AI workloads ...

Transit workers across the U.S. are facing an epidemic of violence and injury, with assaults on these essential frontline employees having tripled since 2008, according to data from the National ...

Over 260,000 users installed fake AI Chrome extensions that used iframe injection to steal browser and Gmail data, exposing ...

Google says threat actors launched 100,000+ model extraction attacks against Gemini, attempting to reverse engineer its AI logic and training data.

Google finds nation-state hackers abusing Gemini AI for target profiling, phishing kits, malware staging, and model ...

Overview Pandas continues to be a core Python skill in 2026, powering data analysis, cleaning, and engineering workflows ...

Objective To assess custom GPT-4 performance in extracting and evaluating data from medical literature to assist in the systematic review (SR) process. Design A proof-of-concept comparative study was ...

Driven by the artificial intelligence frenzy, Microsoft is internally projecting that water use at its data centers will more than double by 2030 from 2020, including in places that face shortages.

Pure, homemade extracts are easy to make and add better flavor to your cooking and baking. These simple instructions can be used to make any extract flavor using quality ingredients—no fillers, ...

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 ...