Abstract: Glaucoma remains a major global cause of irreversible blindness, with early detection often hindered by its asymptomatic progression leading to nearly half of cases going undiagnosed. In ...
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and ...
The adoption rate of AI tools has skyrocketed in the programming world, enabling coders to generate vast amounts of code with simple text prompts. Earlier this year, Google found that 90 percent of ...
Scientists at Mount Sinai have created an artificial intelligence system that can predict how likely rare genetic mutations are to actually cause disease. By combining machine learning with millions ...
Researchers at Google’s Threat Intelligence Group (GTIG) have discovered that hackers are creating malware that can harness the power of large language models (LLMs) to rewrite itself on the fly. An ...
Blake has over a decade of experience writing for the web, with a focus on mobile phones, where he covered the smartphone boom of the 2010s and the broader tech scene. When he's not in front of a ...
AI Steam updates AI disclosure form to specify that it's focused on AI-generated content that is 'consumed by players,' not efficiency tools used behind the scenes AI Stellar Blade's director says AI ...
It’s everywhere, as the author learned the hard way while making as little contact as possible with machine learning and generative artificial intelligence. It’s everywhere, as the author learned the ...
Machine learning (ML) outperforms human graders for diagnosing glaucoma. HealthDay News — Machine learning (ML) outperforms human graders for diagnosing glaucoma, according to a study presented at the ...
FRIDAY, Oct. 24, 2025 (HealthDay News) -- Machine learning (ML) outperforms human graders for diagnosing glaucoma, according to a study presented at the annual meeting of the American Academy of ...
A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...