In this interview, industry expert Angela Flack explains how multimodal microscopy, combining Raman, PL, and SHG techniques, enables comprehensive characterization of 2D materials for advanced ...

Multimodal AI can receive, relate, or generate information across more than one medium, including text, images, audio, video, and sensor data. This guide explains the mechanism, trade-offs, evaluation ...

A single multimodal spectroscopy measurement captures a material’s chemistry, structure, and mechanics at once, with early impact on pharmaceutical analysis and potential across biomedical research ...

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 ...

Multimodal AI is artificial intelligence that combines multiple types, or modes, of data to create more accurate determinations, draw insightful conclusions or make more precise predictions about real ...

Artificial intelligence is evolving into a new phase that more closely resembles human perception and interaction with the world. Multimodal AI enables systems to process and generate information ...