research
∙
11/30/2022
Ferroelectric FET based Context-Switching FPGA Enabling Dynamic Reconfiguration for Adaptive Deep Learning Machines
Field Programmable Gate Array (FPGA) is widely used in acceleration of d...
share
research
∙
09/04/2022
Data-Driven Deep Supervision for Skin Lesion Classification
Automatic classification of pigmented, non-pigmented, and depigmented no...
research
∙
07/16/2022
Associative Memory Based Experience Replay for Deep Reinforcement Learning
Experience replay is an essential component in deep reinforcement learni...
research
∙
04/15/2022
Experimentally realized memristive memory augmented neural network
Lifelong on-device learning is a key challenge for machine intelligence,...
research
∙
07/06/2021
Image Complexity Guided Network Compression for Biomedical Image Segmentation
Compression is a standard procedure for making convolutional neural netw...
research
∙
06/22/2021
MIMHD: Accurate and Efficient Hyperdimensional Inference Using Multi-Bit In-Memory Computing
Hyperdimensional Computing (HDC) is an emerging computational framework ...
research
∙
06/18/2021
Application-driven Design Exploration for Dense Ferroelectric Embedded Non-volatile Memories
The memory wall bottleneck is a key challenge across many data-intensive...
research
∙
04/17/2021
Objective-Dependent Uncertainty Driven Retinal Vessel Segmentation
From diagnosing neovascular diseases to detecting white matter lesions, ...
research
∙
11/13/2020
In-Memory Nearest Neighbor Search with FeFET Multi-Bit Content-Addressable Memories
Nearest neighbor (NN) search is an essential operation in many applicati...
research
∙
06/05/2020
Towards Privacy-aware Task Allocation in Social Sensing based Edge Computing Systems
With the advance in mobile computing, Internet of Things, and ubiquitous...
research
∙
05/29/2019
Nonvolatile Spintronic Memory Cells for Neural Networks
A new spintronic nonvolatile memory cell analogous to 1T DRAM with non-d...
research
∙
02/28/2019
Application-level Studies of Cellular Neural Network-based Hardware Accelerators
As cost and performance benefits associated with Moore's Law scaling slo...
research
∙
01/06/2019
CC-Net: Image Complexity Guided Network Compression for Biomedical Image Segmentation
Convolutional neural networks (CNNs) for biomedical image analysis are o...
research
∙
10/30/2018
A mixed signal architecture for convolutional neural networks
Deep neural network (DNN) accelerators with improved energy and delay ar...
research
∙
09/01/2018
