GOWIN Semiconductor Corp announces the release of its latest solution called GoAI, providing acceleration for artificial intelligence at the edge on GOWIN FPGAs. GOWIN GoAI offers a 78x performance gain over standard microcontrollers with complete design flow support into existing AI and machine learning development tools.
Adoption of artificial intelligence for edge and IoT applications is dramatically increasing to make intelligent decisions in low cost, power and form factor products without web connectivity. GoAI provides full-stack support to easily test and deploy AI inference solutions at the edge by connecting into existing Caffe and Arm CMSIS-NN frameworks. This allows users to train and test a model, quantize and retest the trained model on a microcontroller within the GOWIN FPGA and then accelerate their model in FPGA fabric to enable real-time performance.
GOWIN’s GoAI accelerator provides an AHB interface, which allows customers to control the accelerator with a state machine, a soft processor or a hardened Arm Cortex-M3 processor. It also provides easier connectivity with FPGA fabric allowing developers to connect the accelerator to various interfaces such as a MIPI CSI-2 camera or various I2S microphones.
GOWIN’s GoAI solution will be demonstrated at ARM Techcon 2019. The demonstration shows detection of various objects from an Omnivision camera connected to the GOWIN FPGA. The FPGA uses a neural network trained with the CIFAR10 dataset and configured within the GoAI accelerator to provide immediate inference results.