Opinion
Tech Xplore on MSNOpinion
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 ...
The growing field of machine unlearning aims to make large language models forget harmful information without retraining them ...
A new startup by ex-OpenAI researcher Jerry Tworek has snatched up talent from the country's top AI labs.
Forbes’ AI 50 list spotlights the most promising privately held companies applying artificial intelligence to solve ...
The Queen Zone on MSN
Radiology’s AI shift: Are women at greater risk?
Hospitals are adopting AI across medical imaging workflows as imaging demand multiplies, reconfiguring diagnostics and ...
Harnessing heat generated by a device itself, microscopic silicon structures could lead to more energy-efficient thermal ...
This article explores how building structured, connected data systems is essential to unlocking reliable insights, ...
Researchers describe a method that feeds AI data into quantum computers in smaller batches instead of storing entire datasets ...
Explore the 10 best generative AI courses to take in 2026, with options for hands-on training, certifications, and practical ...
In the past 18 months, the FDA has outlined clear guidelines for designing, documenting, updating, and monitoring AI-powered ...
Tech Xplore on MSN
Compression technique makes AI models leaner and faster while they're still learning
Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...
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