Morning Overview on MSN
Machine learning is turbocharging cheap lithium-ion battery design
Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...
Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...
The Southern Maryland Chronicle on MSN
How are QA teams using machine learning to predict test failures in real time?
QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...
Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...
Opinion: A patent case involving inventor Guillaume Desjardins has evolved into a cornerstone of modern patent eligibility ...
In hopes of providing a better monitoring system for those seeking to mitigate the negative effects of gentrification, ...
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with projects that support AI development.
A novel machine learning version of the Opioid Risk Tool provides high precision screening for opioid use disorder in chronic pain patients.
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