Designing and Building an FPGA Accelerator That Uses Less Energy for DNN Inference
Deep Neural Networks (DNNs) are critical to modern AI applications, yet their deployment on standard CPUs and GPUs is constrained by high power consumption and computational latency, particularly in resource-constrained edge environments. To address these limitations, this paper presents the design and implementation o...