Abstract: Machine learning (ML), particularly deep learning (DL), has been widely employed in electric motor applications such as fault diagnosis and motor design optimization. While vibration is ...

A new medical large language model (LLM) achieved over 91 percent accuracy in identifying female participants diagnosed with ...

A new medical large language model (LLM) achieved over 91% accuracy in identifying female participants diagnosed with major ...

The ESC-50 dataset is a labeled collection of 2000 environmental audio recordings suitable for benchmarking methods of environmental sound classification. The dataset consists of 5-second-long ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

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 ...

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 ...

Spectroscopic analysis is essential in modern astronomy, as spectra encode a wealth of physical information through their characteristic features, such as absorption and emission lines. These spectral ...

In May 2025, the U.S. Army’s Soldier Lethality Project at the Picatinny Arsenal in New Jersey announced the official type classification of SIG Sauer’s M7 rifle and M250 automatic rifle, previously ...