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Generative AI increases risks of cyberattacks and data leaks
Machine-learning systems already shape ordinary parts of life, from spam filters to product recommendations and social media ...
A machine-learning tool called autoscoRA has demonstrated accuracy comparable to human radiologists in scoring rheumatoid arthritis X-rays, particularly for joint space narrowing. Researchers say the ...
A newly annotated fingerprint dataset combined with open-source software could help forensic examiners work more consistently ...
At AACR 2026, researchers discussed the promise and challenges of bringing AI-powered tools into cancer research and clinical ...
At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...
Roaring over long distances is a key behavior of lions. They communicate within prides as well as with other animals using ...
Scientists have found a way to make AI much better at predicting complex, chaotic systems by tapping into the unique power of ...
Landslide risk is rising as extreme rainfall intensifies. New tools using satellite data and AI can help map where failures ...
A UNSW-led study demonstrates how a new tool can detect blue whale calls with almost 100% accuracy, despite only being trained on one sample song. The tool has the potential to transform how ...
Introduction – What Is Bright Equiford? Bright Equiford is a technologically advanced trading platform designed to streamline ...
GBH Morning Edition host Mark Herz spoke with MIT computer science professor Marzyeh Ghassemi about AI's use in medicine.
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 ...
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