Researchers at the University of Toronto's Faculty of Applied Science & Engineering have used machine learning to design nano ...
A new study from Oregon Health & Science University has uncovered how small molecules within bacteria interact with proteins, ...
As climate change leads to more frequent and intense extreme precipitation events, accurately predicting rainfall during the ...
An interpretive machine learning model may be a feasible method for measuring agitation in dementia as well as in predicting ...
In this modern era, healthcare organizations face escalating cybersecurity challenges as they transition to digital systems.
A research team led by Dr. David Helman from the Faculty of Agriculture, Food and Environment at the Hebrew University of ...
Santhosh Kumar Shankarappa Gotur's systematic approach to performance testing and optimization provides a robust framework ...
The pseudoscientific practice of physiognomy, dismissed as junk science centuries ago, is seeing a high-tech revival.
Major depressive disorder (MDD) is a debilitating mental health condition characterized by persistent low mood, loss of ...
Malicious URLs are among the most common vectors for cyberattacks, enabling phishing, malware distribution, and data theft.
Recent advancements in machine learning (ML) and artificial intelligence (AI) have paved the way for novel applications in wearable electronics, ...