AI model improves 4D STEM imaging for delicate materials
Researchers at Monash University have developed an artificial intelligence (AI) model that significantly improves the ...
Automation3d
How Machine Learning Prevents Manufacturing Fraud
it excels at catching fraud with these methods: While ML can improve fraud detection, it needs training to work effectively.
AI tool outperforms existing methods in predicting outcomes for kidney transplant patients
A new advanced artificial intelligence (AI) tool, developed by renal doctors internationally, represents a significant step ...
EurekAlert!4d
New AI tool set to be a “game changer” in improving outcome predictions for kidney transplant patients
A new advanced artificial intelligence (AI) tool, developed by renal doctors internationally, represents a significant step forward in predicting and potentially improving outcomes for UK kidney ...
Sify.com4d
Prizes for Research Using AI: Blasphemy or Nobel Academy’s Genius
Two Nobel Prizes this year, one for developers of AI and the other for researchers using it, have sparked unnecessary ...
Hosted on MSN1d
ISRO launches free AI, ML course with certificate upon completion: Check direct link to apply, programme details and more
It covers a range of topics, including an introduction to AI/ML and DL, various machine learning methods such as supervised, unsupervised, and reinforcement learning, and advanced deep learning ...
Frontiers4d
Advancing Anomaly Detection in Radiology
Artificial intelligence is often envisioned as a helper to experts such as radiologists, acting as a second set of eyes.
of Anti-Immigrant
Elon Musk’s online rhetoric is boosting Trump’s plans to deport migrants and laying the groundwork to dispute the US election ...
Impacts14h
Harnessing AI and Machine Learning for Predictive Cloud Performance Engineering
Artificial Intelligence (AI) and Machine Learning (ML) are reshaping the landscape of cloud performance engineering, driving ...
EurekAlert!1d
New machine learning model quickly and accurately predicts dielectric function
Researchers Tomohito Amano and Shinji Tsuneyuki of the University of Tokyo with Tamio Yamazaki of CURIE (JSR-UTokyo ...
Hosted on MSN6d
Guidelines for using interpretable machine learning methods in computational biology
But when researchers use machine learning in computational biology, understanding model behavior remains crucial for uncovering the underlying biological mechanisms in health and disease. In a recent ...