Real-Time AI: Low Latency Solutions for Interactive Applications by Luca Vajani

As the demand for real-time AI grows in applications like voice assistants, chatbots, and augmented reality, developers face the challenge of reducing latency without sacrificing performance. This talk will explore key strategies to optimize AI models for real-time interaction, including model compression, edge computing, and hardware acceleration (GPUs/TPUs). We'll cover practical solutions for balancing speed and accuracy, optimizing AI pipelines, and ensuring scalability. Real-world examples will demonstrate how these techniques are applied in industries like gaming and customer support, equipping developers to build responsive, interactive AI systems.