By combining physics-based methods with machine learning, a team at the Institute of Thermodynamics and Sustainable ...

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

By combining physics-based methods with machine learning, a team at the Institute of Thermodynamics and Sustainable Propulsion Systems at TU Graz is ...

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

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

FICO established its own ranking algorithm to ensure its proprietary finance-specific AI models do not hallucinate.

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

Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in weather and climate, but a new study by MIT researchers shows that bigger ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...

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

Despite large language models (LLMs) possessing extensive world knowledge and strong reasoning capabilities, they are widely regarded as excellent few-shot learners; however, they still exhibit ...