Sam948 unleashes 8 MB YOLOv8.rknn edge vision; Stanford armors 350 Wh/kg EV battery to 1 000 cycles
TL;DR
* Researchers Release Open-Source YOLOv8 Model for RobotVision Systems with RKNN Conversion Support
* Stanford Researchers Improve Solid-State Battery Durability with Silver Doping Technique
⚙️ Sam948 releases YOLOv8.rknn, Rockchip RK3588 NPU runs 30 fps warehouse vision
🤖👀 Sam948 drops open-source YOLOv8.rknn—8 MB, 80 % confidence, 30 fps on RK3588 NPU.
