Field Programmable Gate Array (FPGA) is widely used in acceleration of d...
Automatic classification of pigmented, non-pigmented, and depigmented
no...
Experience replay is an essential component in deep reinforcement learni...
Lifelong on-device learning is a key challenge for machine intelligence,...
Compression is a standard procedure for making convolutional neural netw...
Hyperdimensional Computing (HDC) is an emerging computational framework ...
The memory wall bottleneck is a key challenge across many data-intensive...
From diagnosing neovascular diseases to detecting white matter lesions,
...
Nearest neighbor (NN) search is an essential operation in many applicati...
With the advance in mobile computing, Internet of Things, and ubiquitous...
A new spintronic nonvolatile memory cell analogous to 1T DRAM with
non-d...
As cost and performance benefits associated with Moore's Law scaling slo...
Convolutional neural networks (CNNs) for biomedical image analysis are o...
Deep neural network (DNN) accelerators with improved energy and delay ar...
The 55th Design Automation Conference (DAC) held its first System Design...