EurekAlert!

Can a hybrid AI-physics model address the challenges of typhoon forecasting? New study shows significant accuracy gains

A research team has studied the development of the Shanghai Typhoon Model from a traditional physics-based regional model ...

Machine learning and quantum chemistry unite to simulate catalyst dynamics

Catalysts play an indispensable role in modern manufacturing. More than 80% of all manufactured products, from ...
Tech Xplore on MSN

AI scaling laws: Universal guide estimates how LLMs will perform based on smaller models in same family

When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational ...

Meta Releases MobileLLM-R1: Small Models with Less than 1B Parameters Achieve High Performance with Low Training Volume

The meta AI team recently officially launched the MobileLLM-R1 series of efficient inference models, marking a new development stage for small parameter language models. This series includes base ...

Machine learning model helps predict urgent care visits for lung cancer patients

A study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported ...

Unsloth : The Secret Weapon for Faster Machine Learning Models

Discover how Unsloth and multi-GPU training slash AI model training times while boosting scalability and performance. Learn more on how you ...
Tech Xplore on MSN

Pioneering a way to remove private data from AI models

A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial ...
Cloud Security Alliance

The Hidden Security Threats Lurking in Your Machine Learning Pipeline

Machine learning systems face a new class of security threats—sophisticated attacks that target the very foundation of how ...

Meta Releases MobileLLM-R1: Small Models with Less Than 1B Parameters Achieve High Efficiency with Low Training Volume

The Meta AI team has recently officially launched the MobileLLM-R1 series of efficient inference models, marking a new development stage for small parameter language models. This series includes base ...