Multimodal AI is a type of 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-world problems. Multimodal AI systems train with and use video, audio, speech, images, text, and a range of traditional numerical data sets. Multimodal AI ingests and processes data from multiple sources, including video, images, speech, sound, and text, allowing more detailed and nuanced perceptions of the particular environment or situation. In doing this, multimodal AI more closely simulates human perception.

Multimodal AI differs from other AI in that it incorporates data from multiple modalities to enhance the accuracy and effectiveness of AI systems. Traditionally, AI models have focused on processing information from a single modality, such as text, image, or speech. However, the multimodal model seeks to incorporate data from multiple modalities to enhance the accuracy and effectiveness of AI systems.

Multimodal AI systems are typically built from a series of three main components: the multimodal AI framework, which provides complicated data fusion algorithms and machine learning/inference technologies; the core libraries/frameworks based on multimodal AI, such as AimeCard for structure analysis and document image examinations of the OCR, with AimeFace being used for face recognition technologies and AimeFluent for natural language understanding; and various applications for specific domains, which combine cutting-edge multimodal AI technologies with deep domain knowledge to yield an impressive user experience.

Multimodal AI has a wide range of workplace applications. An industrial vertical uses multimodal AI to oversee and optimize manufacturing processes, improve product quality, or reduce maintenance costs. A healthcare vertical harnesses multimodal AI to process a patients vital signs, diagnostic data, and records to improve diagnoses and treatment plans. Multimodal AI is also used in the entertainment industry to create more immersive and interactive user experiences.