Engineering and TechnologyNature Communications
Dynamic machine vision with retinomorphic photomemristor-reservoir computing
H. Tan and S. V. Dijken
This groundbreaking research by Hongwei Tan and Sebastiaan van Dijken introduces an innovative dynamic machine vision system that revolutionizes real-time motion recognition and prediction through advanced in-sensor processing, making strides towards enhanced applications in robotics and autonomous driving.
Related Publications
Explore these studies to deepen your understanding
Adjacent work that informs or extends this paper's methodology and findings.
Engineering and Technology
Toward grouped-reservoir computing: organic neuromorphic vertical transistor with distributed reservoir states for efficient recognition and prediction
C. Gao, D. Liu, et al.
Computer Science
Spike-based dynamic computing with asynchronous sensing-computing neuromorphic chip
M. Yao, O. Richter, et al.
Engineering and Technology
Adaptative machine vision with microsecond-level accurate perception beyond human retina
L. Li, S. Li, et al.
Computer Science
Configured Quantum Reservoir Computing for Multi-Task Machine Learning
W. Xia, J. Zou, et al.
