IEEE

A High Energy Efficient Reconfigurable Hybrid Neural Network Processor for Deep Learning Applications

Abstract: Hybrid neural networks (hybrid-NNs) have been widely used and brought new challenges to NN processors. Thinker is an energy efficient reconfigurable hybrid-NN processor fabricated in 65-nm ...
Cancer Research

A Deep Learning–Driven Framework Integrating Organoid-Based Functional Validation Identifies Universal Neoantigens from Recurrent Glioma Mutations

6Beijing Engineering Research Center of Targeted Drugs and Cell Therapy for CNS Tumors, Beijing, PR China. 7China National Clinical Research Center for Neurological Diseases, Beijing, PR China.
IEEE

Kehao Wang

Unmanned Aerial Vehicles,Optimization Problem,Channel Estimation,Optimization Algorithm,Time Slot,Unmanned Aerial Vehicle Trajectory,Channel Estimation Error,Massive Multiple-input ...
GitHub

fengbintu/Neural-Networks-on-Silicon

(THU, Duke) Automating the systolic array generation and optimizations for high throughput convolution neural network. (PKU, UCLA, Falcon) Towards Full-System Energy-Accuracy Tradeoffs: A Case Study ...
GitHub

quocbao1233333/Mina-PYNQ-Z2-fpga-ECG-accelerator

This confirms that the FPGA control path, BRAM access, bias read path, linear/argmax output path, and Jupyter/PYNQ MMIO interface are working. It does not yet prove full real ECG classification, ...