multimodal ai

Multimodal AI refers to artificial intelligence systems capable of processing and understanding data from multiple modalities or input types—such as text, images, audio, video, and sensor data—jointly. These systems can integrate and reason across different kinds of information, enabling more context-aware and human-like understanding and interaction.
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  1. Google DeepMind Unveils SIMA 2, a Multimodal AI Agent for Games

    Google DeepMind Unveils SIMA 2, a Multimodal AI Agent for Games

    Google DeepMind Unveils SIMA 2, a Multimodal AI Agent for Games Google DeepMind has introduced SIMA 2, an advanced multimodal AI agent capable of playing complex video games by understanding text, voice commands, on-screen drawings, and even emoji. The system represents one of the clearest...
  2. Baidu Unveils ERNIE 5.0, a 2.4T-Parameter Native Multimodal AI Model

    Baidu Unveils ERNIE 5.0, a 2.4T-Parameter Native Multimodal AI Model

    Baidu Unveils ERNIE 5.0, a 2.4T-Parameter Native Multimodal AI Model Baidu has announced ERNIE 5.0, a next-generation multimodal AI model with 2.4 trillion parameters. CEO Robin Li described the system as “natively omnimodal,” meaning it processes text, images, audio, and video within a unified...
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