However, Multimodal AI has emerged to address the increasing complexity of real-world problems, enabling industries to gain new insights by integrating and processing various data types.

This is called multimodal AI. For example, combining medical imaging with genomic data has been shown to improve the accuracy of cancer diagnosis and treatment planning. Integrating these ...

SenseTime, an artificial intelligence (AI) pioneer in China, has launched new models that it claims surpass OpenAI products in reasoning capabilities, as it bets on multimodal models to secure its ...