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UID:pretalx-eu-summit-2026-UMWQJ8@cfp.riscv-europe.org
DTSTART;TZID=CET:20260611T104000
DTEND;TZID=CET:20260611T105000
DESCRIPTION:RISC-V deployment in embedded systems\, IoT\, and edge AI has o
 utpaced developer education: most tutorials target C/C++ and cover only ba
 sic microcontroller tasks\, leaving a gap for building ML systems with mod
 ern toolchains. RISCVML addresses this with a Rust curriculum spanning 172
  chapters across seven modules\, from beginner hardware to on-device ML in
 ference.\n\nThe curriculum uses Espressif RISC-V SoCs: the ESP32-C3 (BLE 5
 .0\, ~€3) and ESP32-C6 (Wi-Fi 6\, Thread/Matter\, ~€4) introduce Rust 
 fundamentals — GPIO\, sensors\, power management\, and wireless protocol
 s. The ESP32-P4 (dual core 400 MHz\, AI extensions\, 128 bit vector ISA\, 
 ~€25) anchors an advanced module: ISP camera pipeline\, hardware acceler
 ated 2D rendering\, H.264 encoding\, DMA orchestration\, and vector accele
 rated ML inference.\n\nThese converge in a capstone: a bird detection pipe
 line capturing MIPI-CSI frames\, running quantized detection through esp-d
 l\, driving pan/tilt servos\, and recording H.264 video — all in async R
 ust with ESP-IDF drivers via FFI.\n\nBy pairing Rust memory safety with pr
 oduction toolchains (esp-hal\, esp-idf-hal) on affordable hardware\, and u
 sing a mascot to make complex terminology approachable for younger learner
 s\, RISCVML lowers the barrier for the next generation of RISC-V developer
 s — supporting Europe's push for sovereign silicon literacy.
DTSTAMP:20260715T065443Z
LOCATION:Poster Island D
SUMMARY:RISCVML: Teaching RISC-V Embedded ML with Rust — From ESP32-C3 to
  ESP32-P4 - Scottie_von_Bruchhausen
URL:https://cfp.riscv-europe.org/eu-summit-2026/talk/UMWQJ8/
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