Explore the state of hardware and software ecosystems for low-power machine learning applications on RISC-V in this comprehensive tinyML talk. Gain insights into the latest RISC-V ISA specifications and upcoming standard extensions. Survey available open-source and proprietary commercial implementations, including processor cores, SoCs, and boards suitable for low-power applications. Delve into the current software support for RISC-V, identifying gaps and opportunities for open-source contributors to accelerate growth and adoption. Learn about RISC-V architecture, base ISA, cores, developer boards, and software ecosystems. Compare RISC-V with ARM, discuss frontend integration, platforms, and extensions. Receive advice on Android development for RISC-V, understand the differences between ISA and micro-architecture, and explore optimization techniques for hardware designers.