AZoOptics

Deep Learning in Optical Microscopy: Advancements and Applications

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...
AZoRobotics

Detecting Alzheimer’s Early: Machine Learning’s Role in Neurological Imaging

See how machine learning is spotting Alzheimer’s years before symptoms begin—using brain scans to help guide earlier, more ...
AOL

It took me 2.5 years to transition to an AI team at Google. These 11 books helped me pivot.

He started reading AI and machine learning books during paternity leave to kick off his job pivot. He said continuous learning, hands-on projects, and support were key to his transition. This ...
Frontiers

Abnormal subthalamic nucleus functional connectivity and machine learning classification in Parkinson’s disease: a multisite functional magnetic resonance imaging study

Introduction: Parkinson’s disease (PD) is a progressive neurodegenerative disorder imposing a significant global burden, characterized by motor dysfunction linked to aberrant basal ganglia activity.
Frontiers

Development and validation of explainable machine learning models for predicting 3-month functional outcomes in acute ischemic stroke: a SHAP-based approach

1 Department of Neurology, The Affiliated Yixing Hospital of Jiangsu University, Yixing, Jiangsu, China 2 Information and Data Center, The Affiliated Yixing Hospital of Jiangsu University, Yixing, ...
PC Gamer

Arc Raiders' use of AI highlights the tension and confusion over where machine learning ends and generative AI begins

AI Steam updates AI disclosure form to specify that it's focused on AI-generated content that is 'consumed by players,' not efficiency tools used behind the scenes AI Stellar Blade's director says AI ...
The New York Times

48 Hours Without A.I.

It’s everywhere, as the author learned the hard way while making as little contact as possible with machine learning and generative artificial intelligence. It’s everywhere, as the author learned the ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

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 ...
Mashable

Apple sued, again, for allegedly using copyrighted material to train its AI

Two separate lawsuits now allege Apple used pirated works to train one of its Apple Intelligence models. Credit: Algi Febri Sugita/SOPA Images/LightRocket via Getty Images Two neuroscientists are ...
Inc

Apple Is Being Accused of Training Its AI Using Copyrighted Books

Apple was hit with a lawsuit in California federal court by a pair of neuroscientists who say that the tech company misused thousands of copyrighted books to train its Apple Intelligence artificial ...
Rochester Institute of Technology

RIT researchers use machine learning to better understand the pathways of disease

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...
C&EN

Machine learning helps density functional theory model molecules accurately

A rotating cylinder with its side cut away to expose the core, showing patches of purple, blue, green, yellow, and orange that are dense in the middle and more diffuse toward the edges. This rotating ...