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 ...
Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...
Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of ...
New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...
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, ...
The question of whether prehospital emergency anaesthesia and intubation improves survival in patients with major trauma has ...
A novel machine learning version of the Opioid Risk Tool provides high precision screening for opioid use disorder in chronic pain patients.
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results