‘ Induced demand ’ is a common trope among planners, usually signifying the futility of building more vehicle lanes in an ...

Multimodal large language models have shown powerful abilities to understand and reason across text and images, but their ...

In a systematic review and meta-analysis published in the journal Molecular Psychiatry, scientists have analyzed recent evidence on the usefulness of single and multimodal neuroimaging techniques in ...

AI can process diverse data sources—ranging from medical images to genetic information to patient voice recordings—to help doctors make more informed decisions. While processing this data individually ...

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...

Retiring from the U.S. Army in 2016 left Lawrence resident Matt Hastings unmoored. Hastings, a former combat aviation brigade chief, had been someone with skills in demand: He was the only one who ...

Abstract: Advancing Multimodal AI for Integrated Understanding and Generation explores the transformative potential of multimodal artificial intelligence (AI), which integrates diverse data types such ...

Forbes contributors publish independent expert analyses and insights. Multimodality is set to redefine how enterprises leverage AI in 2025. Imagine an AI that understands not just text but also images ...

Association of clinical characterization of renal cell carcinoma (RCC) with merlin protein deficiency and biallelic loss of NF2. This is an ASCO Meeting Abstract from the 2025 ASCO Genitourinary ...