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Enter the raffle (linked below) to win your free QuickFeather! https://opensysmedia.formstack.com/fo... Want additional content? Follow us on social! https://linkin.bio/embeddedcomputingd... It wasn’t too long ago that FPGAs were really only used for pre-silicon prototyping. Blink and they’re in embedded systems ranging from industrial control platforms to network RF infrastructure. Blink again and they’re at the bleeding edge of edge AI. A perfect example is the QuickLogic QuickFeather Development Kit, an open-source platform based on the 0.9" by 2" Adafruit Feather form factor and designed around QuickLogic’s EOS S3 Arm Cortex-M4F microcontroller with integrated eFPGA technology. The eFPGA provides 2400 logic cells, 64 Kb of RAM, and eight FIFO controllers, and is joined by an on-chip sensor manager as well as a Flexible Fusion Engine (FFE) that contains its own memory resources and delivers microDSP-like functionality for efficiently executing mathematical computations like always-on, real-time sensor fusion algorithms. The kit’s AI capabilities take shape in the form of TinyML applications built using TensorFlow Lite or the AI Analytics Toolkit from SensiML, a QuickLogic subsidiary. Developers can take advantage of the SensiML Analytics Toolkit’s AutoML workflow, for example, to generate code based on advanced AI and ML algorithms that’s optimized to run on the QuickFeather kit and be updated over time. So, now you’re ready to get a jump on FPGA-based edge AI with the QuickLogic QuickFeather Development Kit. If you’re looking to get your hands on one, you can do so from Crowd Supply, Mouser, or directly from QuickLogic for just $59. Not bad. Of course, you can also enter the raffle linked above for a chance to win this QuickFeather for absolutely free — we’ll even pay the shipping. And once you’ve got one, you can take advantage of the QuickFeather Dev Kit resources page on the QuickLogic site that provides software, videos, resources, and even a forum. Thanks for watching, good luck in the raffle, and we’ll see you next week.