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Generative AI may cut costs in machine-learning systems, but it increases risks of cyberattacks and data leaks
Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...
Using Python, web scraping, and advanced algorithms, the solution aggregates real-time data from marketplaces to deliver ...
Roaring over long distances is a key behavior of lions. They communicate within prides as well as with other animals using ...
Two complementary predictors (DAAE-M and ELIE) estimate individualized 5-year progression risk using routine clinical data, ...
The seismic crisis that gripped the Greek island of Santorini and its neighbors in 2025 contained more than 60,000 ...
Engineers at NIMS Develop a System That Captures All the Elements of Trial and Error in Material Design, Enabling Reliable ...
Laser-based metal processing enables the automated and precise production of complex components, whether for the automotive industry or for medicine. However, conventional methods require time- and ...
A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...
Seventy-five percent of U.S. health systems are now using at least one artificial intelligence application, up from 59% in 2025, a new survey from Eliciting Insights found. The go-to market research ...
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