In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
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 ...
The question of whether prehospital emergency anaesthesia and intubation improves survival in patients with major trauma has ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
The Register on MSN
Machine learning could yield faster, cheaper lithium-ion battery development
Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could ...
Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
The team utilized machine learning to analyze public data from the National Health and Nutrition Examination Survey.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results