13 citations · 21 across the 5 of their papers we have counts for
6 papers
AI-assisted Automated Workflow for Real-time X-ray Ptychography Data Analysis via Federated Resources
Anakha V Babu, Tekin Bicer, Saugat Kandel +7
We present an end-to-end automated workflow that uses large-scale remote compute resources and an embedded GPU platform at the edge to enable AI/ML-accelerated real-time analysis o…
Demonstration of an AI-driven workflow for autonomous high-resolution scanning microscopy
Saugat Kandel, Tao Zhou, Anakha V Babu +7
With the continuing advances in scientific instrumentation, scanning microscopes are now able to image physical systems with up to sub-atomic-level spatial resolutions and sub-pico…
Deep learning at the edge enables real-time streaming ptychographic imaging
Anakha V Babu, Tao Zhou, Saugat Kandel +15
Coherent microscopy techniques provide an unparalleled multi-scale view of materials across scientific and technological fields, from structural materials to quantum devices, from…
A lightweight, user-configurable detector ASIC digital architecture with on-chip data compression for MHz X-ray coherent diffraction imaging
Sebastian Strempfer, Tao Zhou, Kazutomo Yoshii +6
Today, most X-ray pixel detectors used at light sources transmit raw pixel data off the detector ASIC. With the availability of more advanced ASIC technology nodes for scientific a…
SpinAPS: A High-Performance Spintronic Accelerator for Probabilistic Spiking Neural Networks
Anakha V Babu, Osvaldo Simeone, Bipin Rajendran
We discuss a high-performance and high-throughput hardware accelerator for probabilistic Spiking Neural Networks (SNNs) based on Generalized Linear Model (GLM) neurons, that uses b…
Stochastic Deep Learning in Memristive Networks
Anakha V Babu, Bipin Rajendran
We study the performance of stochastically trained deep neural networks (DNNs) whose synaptic weights are implemented using emerging memristive devices that exhibit limited dynamic…