Communications of the ACMOpinion

From Model Training to Model Raising

A call to reform AI model-training paradigms from post hoc alignment to intrinsic, identity-based development.
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 ...
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 ...
Geeky Gadgets

Unsloth : The Secret Weapon for Faster Machine Learning Models

What if you could train massive machine learning models in half the time without compromising performance? For researchers and developers tackling the ever-growing complexity of AI, this isn’t just a ...
C&EN

A Machine Learning Model for the Proteome-Wide Prediction of Lipid-Interacting Proteins

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. You are free to share(copy and redistribute) this ...
Fierce Healthcare

OpenEvidence AI scores 100% on USMLE as company launches free explanation model for medical students

Artificial intelligence startup OpenEvidence says its AI model has scored a perfect 100% on the United States Medical Licensing Examination (USMLE), raising the bar on the proficiency of AI models to ...
Law

Training Alone Is Not Enough: Lessons From 'Recentive' and USPTO AI Examples on Patent Eligible Machine-Learning Claims

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
IEEE

Modeling Air Combat Behavior for Simulation-Based Pilot Training: A Survey of Machine Learning Approaches

Abstract: Fighter pilots train maneuvers and missions in simulators with and against simulated entities that must exhibit realistic behavior for effective training. However, current simulated entities ...
Frontiers

Construction of a prediction model for sarcopenic obesity based on machine learning

1 Department of Health Care/Geriatrics, Affiliated Hospital of Qingdao University, Qingdao, Shandong Province, China 2 Qingdao University, Qingdao, Shandong Province, China Background: In the context ...
IEEE

Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates

Abstract: Machine-learning models demand periodic updates to improve their average accuracy, exploiting novel architectures and additional data. However, a newly updated model may commit mistakes the ...