SpinCIM: Spin orbit torque memory for ternary neural networks based on the computing-in-memory architecture
Although significant breakthrough has been made in deep neural networks (DNNs), which
show impressive potential as a general solution to the field of artificial intelligence (AI), DNN …
show impressive potential as a general solution to the field of artificial intelligence (AI), DNN …
A Time-and Energy-Efficient CNN with Dense Connections on Memristor-Based Chips
Designing lightweight convolutional neural network (CNN) models is an active research
area in edge AI. Compute-in-memory (CIM) provides a new computing paradigm to alleviate …
area in edge AI. Compute-in-memory (CIM) provides a new computing paradigm to alleviate …
An advanced neuromorphic accelerator on FPGA for next-G spectrum sensing
MF Azmine - 2024 - vtechworks.lib.vt.edu
In modern communication systems, it's important to detect and use available radio
frequencies effectively. However, current methods face challenges with complexity and …
frequencies effectively. However, current methods face challenges with complexity and …