Explore the state of TinyML in this 53-minute panel discussion featuring experts Frédéric Pétrot, Etienne Balit, and Loic Lietar. Delve into the landscape and potential of ultra-low-power applications, recent advances, and challenges in TinyML. Learn about AI needs, current neural network architectures, hardware acceleration, and power efficiency. Discover commercial applications, disruptive potential, and use case evaluation for TinyML. Examine tradeoffs, IoT applications, voice commands, face ID, and object detection. Compare embedded vs. cloud solutions, and understand the challenges of AI in embedded systems. Investigate RISC-V architecture for AI modeling, and contrast TinyML with microcontrollers. Gain insights into distributed AI and participate in an interactive Q&A session with the audience.