The use of large language models has made it easier for dictation software to quickly deliver better results. Is that enough ...

A new study suggests that learning and remembering speech relies more on how the brain processes sounds and sensations than on the areas that control mouth and face movements. The discovery could ...

Abstract: Inner speech recognition using electroencephalogram (EEG) signals shows strong potential for developing assistive communication technologies. Existing methods often process spatial and ...

SAN FRANCISCO--(BUSINESS WIRE)--Deepgram, the real-time AI infrastructure company underpinning the Voice AI economy, today announced the general availability (GA) of Flux Multilingual, expanding its ...

Update (April 7, 10:30 p.m. PT): The company has updated the app store listing and removed references to the Android app. But it also added that the iOS keyboard is coming soon. The app is free to ...

Enterprise AI company Cohere on Thursday launched its first voice model: Transcribe is an open source automatic speech recognition model that can be used for tasks like note-taking and speech analysis ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

Automatic Content Recognition lets smart TVs constantly scan what you watch to build viewing profiles and show targeted ads. It runs silently in the background but can be disabled from privacy ...

With residents this month debating use of facial recognition systems at some Connecticut grocery stores, state lawmakers from both parties plan to look into stopping that technology from being used in ...

Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...