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 ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
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, ...
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.
The team utilized machine learning to analyze public data from the National Health and Nutrition Examination Survey.
Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...
In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of ...
New research shows mutual funds using machine learning strategies generate significant outperformance over traditional funds ...
Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...
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