blackkat
There is a wasteland of blogspam around the topic of getting started with ML and it’s hard to know what is useful at the beginning.
Based on the RP2350, designed by Raspberry Pi in the United Kingdom
Dual Arm M33s at 150 MHz with FPU
520 KiB of SRAM
Robust security features (signed boot, OTP, SHA-256, TRNG, glitch detectors and Arm TrustZone for Cortex®-M)
Optional, dual RISC-V Hazard3 CPUs at 150 MHz
Low-power operation
PIO v2 with 3 × programmable I/O co-processors (12 × programmable I/O state machines) for custom peripheral support
Support for PSRAM, faster off-chip XIP QSPI Flash interface
4 MB on-board QSPI Flash storage
5 V tolerant GPIOs
Open source C/C++ SDK, MicroPython support
Software-compatible with Pico 1/RP2040
Drag-and-drop programming using mass storage over USB
Castellated module allows soldering directly to carrier boards
Footprint- and pin-compatible with Pico 1 (21 mm × 51 mm form factor)
26 multifunction GPIO pins, including three analog inputs
Operating temperature: -20°C to +85°C
Supported input voltage: 1.8 VDC to 5.5 VDC
https://www.worldcat.org/search?qt=wikipedia&q=isbn%3A340415...
NB:As far as I can tell with a quick search, there is no English translation (yet).
Personal experience and knowledge does not map perfectly to others experiences.
Have a look and see if it works for you.
And Matt Eastly: https://mattestlea.com/ https://m.youtube.com/channel/UCxWzA3ZlYEOLr1JkKH0ZMyg
“...will not build a mechanism to decrypt live meetings...”
So, this means that they can record meetings, then retroactively decrypt and monitor meeting contents :)