Multimodal Artificial Intelligence: Harnessing the Power of Combined Data Streams
Introduction
Artificial intelligence has become the hottest technology right now. Millions of companies worldwide are using it to improve their work processes and make them faster and more effective. Among the various types of AI, we can find multimodal.
Multimodal artificial intelligence seeks to fuse these different types of data and take advantage of their complementarity to improve understanding and performance in areas such as natural language processing, computer vision, and speech recognition, among others.
Multimodal artificial intelligence is used in various fields, such as medicine (for analysis of medical images and patient records), autonomous vehicles (for processing visual and sensor data for navigation), human-computer interaction ( to understand natural language commands along with gestures or facial expressions) and other areas.