Tag: multimodal data

A new processing service called SAGE uses collaborative large language model agents to classify, transcribe and fuse multimodal forensic records, ...

A systematic review of 46 studies finds deep learning promising for post-earthquake structural damage assessment, but weak generalisation evidence and ...

Italian researchers have proposed OBESI-NET, a conceptual national AI-supported ecosystem for obesity surveillance and precision medicine that has not yet ...

Food safety monitoring has a data problem that has little to do with how much data exists.

A controlled study of 40 smart home app users found that multimodal behavioral analysis guided prototype redesigns associated with lower ...

A benchmark study found that an AI service hub combining sensor, text and visual data achieved high fault-detection and maintenance ...

A planned three-arm trial will compare simultaneous with two sequential schedules of scalp acupuncture and transcutaneous auricular vagus nerve stimulation ...

An explainable generative deep learning framework called SYNERGY-VAE has uncovered three hidden population subgroups with distinct health signatures and depression ...

In recent years, the intersection of artificial intelligence (AI) and emotional intelligence has stirred significant interest within the scientific community. ...

In a groundbreaking advance poised to reshape the landscape of Parkinson’s disease management, researchers have unveiled a novel predictive model ...