Transformers are a neural network (NN) architecture, or model, that excels at processing sequential data by weighing the ...

The researchers discovered that this separation proves remarkably clean. In a preprint paper released in late October, they ...

Verseon has presented two separate papers at the November 2025 IEEE International Conference on Future Machine Learning and Data Science that demonstrate the advantages of its VersAI™ platform in the ...

In the ever-evolving world of artificial intelligence, deep neural networks (DNNs) have revolutionized data processing, offering unparalleled accuracy across various ...

The device uses analogue waves in the microwave range of the electromagnetic spectrum within an artificial intelligence (AI) neural network, producing a comb-like pattern in the waveform of the ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, has launched a groundbreaking technological achievement—a multi-class classification method based on ...

A new study published in the journal Psychophysiologyreveals that listening to music can alter brain connectivity and improve ...

Difficulties in following speech on TV due to loud background sounds are a common issue in broadcasting. Object-based audio (OBA) systems like MPEG-H Audio can address this problem by providing a ...

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

The LHCb collaboration developed an inclusive deep-learning flavour tagger for neutral B-mesons, improving tagging power by ...

Ars Technica has been separating the signal from the noise for over 25 years. With our unique combination of technical ...