Search Results for author:
Found 2 papers, 0 papers with code
In-Sensor Radio Frequency Computing for Energy-Efficient Intelligent Radar
Radio Frequency Neural Networks (RFNNs) have demonstrated advantages in realizing intelligent applications across various domains.
Temporal credit assignment for one-shot learning utilizing a phase transition material
Design of hardware based on biological principles of neuronal computation and plasticity in the brain is a leading approach to realizing energy- and sample-efficient artificial intelligence and learning machines.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
