State Space Models for Realtime Multimodal Intelli

In a compelling talk at the AI Engineer World’s Fair, Karan, the CEO of Cartesia.ai, discussed the advancements in real-time multimodal intelligence and the development of state space models. He explained the shift from batch processing to real-time applications, emphasizing the potential for these technologies to transform various fields, including conversational AI and robotics. Karan elaborated on the importance of efficient modeling, particularly in handling long context data, and how Cartesia is pioneering new architectures that prioritize compression and speed. The session highlighted the promise of making intelligent systems more accessible and efficient across devices, ultimately aiming to enhance user experience and automate routine tasks.