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Healio
6 天
Machine learning tool feasible for detecting agitation in dementia
An interpretive machine learning model may be a feasible method for measuring agitation in dementia as well as in predicting ...
5 天
How AI Has Changed The World Of Analytics And Data Science
While traditional data science practices have paved the way for critical insights and informed decision-making, AI has ...
2 天
on MSN
New diagnostic tool will help LIGO hunt gravitational waves
Finding patterns and reducing noise in large, complex datasets generated by the gravitational wave-detecting LIGO facility ...
News Medical on MSN
5 天
Machine learning could be a complementary decision-support tool for assessing depression
Depression impacts an estimated 18 million Americans each year, yet depression screening rarely occurs in the outpatient ...
4 天
on MSN
Microsoft tests ‘scareware blocker’ for Edge that uses computer vision to detect scams
Microsoft is rolling out "scareware blocker," which uses machine learning to identify a very specific and pervasive type of ...
News Medical on MSN
3 天
Can AI recognize the signs of depression in people’s voices?
Machine learning analysis of voice recordings shows promise for detecting depression, with over 70% accuracy, improving ...
Impacts
13 天
Integrating AI and Machine Learning Models with ASP.Net Hosting
The rapid advancement of Artificial Intelligence (AI) and Machine Learning (ML) has revolutionized how businesses operate, ...
1 天
How AI Is Redefining The Way Software Is Built In 2025
As we settle into 2025, it’s clear that the future of software development is being shaped by trends that prioritize efficiency, intelligence and adaptability. And while adjusting to change isn’t ...
Impacts
6 天
Enhancing Healthcare Cybersecurity: A Cloud-Native Approach Using Machine Learning
In this modern era, healthcare organizations face escalating cybersecurity challenges as they transition to digital systems.
Tech Xplore on MSN
5 天
Slashing industrial emissions using a hybrid model approach
The chemical industry could dramatically cut its energy consumption by using machine learning to guide chemical purification ...
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