33 citations · 46 across the 4 of their papers we have counts for
4 papers
Edge AI without Compromise: Efficient, Versatile and Accurate Neurocomputing in Resistive Random-Access Memory
Weier Wan, Rajkumar Kubendran, Clemens Schaefer +11
Realizing today's cloud-level artificial intelligence functionalities directly on devices distributed at the edge of the internet calls for edge hardware capable of processing mult…
Neural Network Compression for Noisy Storage Devices
Berivan Isik, Kristy Choi, Xin Zheng +4
Compression and efficient storage of neural network (NN) parameters is critical for applications that run on resource-constrained devices. Despite the significant progress in NN mo…
Opportunities for Analog Coding in Emerging Memory Systems
Jesse H. Engel, S. Burc Eryilmaz, SangBum Kim +5
The exponential growth in data generation and large-scale data analysis creates an unprecedented need for inexpensive, low-latency, and high-density information storage. This need…
Training a Probabilistic Graphical Model with Resistive Switching Electronic Synapses
S. Burc Eryilmaz, Emre Neftci, Siddharth Joshi +6
Current large scale implementations of deep learning and data mining require thousands of processors, massive amounts of off-chip memory, and consume gigajoules of energy. Emerging…