Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans, all contexts where ...
News-Medical.Net on MSN
Using machine learning to shed light on how well the triage systems work
A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to identify patient groups at risk of being mistreated.
6don MSN
Machine learning workflow enables faster, more reliable organic crystal structure prediction
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
Researchers at the School of Engineering and Applied Sciences have developed a wearable sensor system capable of estimating ...
Tech Xplore on MSN
FSNet finds feasible power grid solutions in minutes, outperforming tried-and-true tools
Managing a power grid is like trying to solve an enormous puzzle. Grid operators must ensure the proper amount of power is ...
Researchers at University of Tsukuba have developed a technology for real-time estimation of the valence state and growth rate of iron oxide thin films during their formation. This novel technology ...
With heat waves among Europe's deadliest climate hazards, a team of scientists led by CMCC has developed a prediction system capable of providing helpful information four to seven weeks before summer, ...
High-precision GNSS applications, such as real-time displacement monitoring and vehicle navigation, rely heavily on resolving carrier-phase ambiguities. However, traditional methods like the R-ratio ...
6don MSN
Invasive plants are here to stay in CT. One UConn professor is creating an AI tool to stop new ones.
There are over 100 invasive plant species in Connecticut wreaking havoc on the state’s forests and waterways, but new technology may help ensure new species never get a chance to invade in the first ...
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