Stay Informed About iCAS Lab
2021 ECTC PAPER
March 3, 2021
Our collaborative paper on the Deep-Morphology project titled "Application of Machine Learning in Recognition and Analysis of TSV Extrusion Profiles with Multiple Morphology," has been accepted to be presented at the IEEE 71st Electronic Components and Technology Conference (ECTC) conference. Congratulations to Joseph Lindsay, Brendan Reidy, and Will Duggan as co-authors of this paper!
NEW SPONSOR: JUNIPER NETWORKS, INC.
December 28, 2020
We are happy to announce that iCAS Lab has started a collaboration with Juniper Networks, Inc., on the topic of “Machine Learning-Based Data Analytics Tools for Advanced Quality Management of Electronic Circuits”.
MAGELLAN SCHOLAR AWARD
December 15, 2020
Our proposal “Real-time Patient Monitoring on Wearable Devices Using Neuromorphic Computing” has been awarded funding through the Magellan Scholar Program in the amount of $2500. Congratulations to Praful Chunchu and Denise Davis for their work on this proposal!
2020 ICRC PAPER
October 16, 2020
Our paper “A Single-Cycle MLP Classifier Using Analog MRAM-based Neurons and Synapses”, has been accepted to be presented at the 2020 International Conference on Rebooting Computing (ICRC).
IBM/IEEE AI COMPUTE SYMPOSIUM
October 06, 2020
Our paper “An In-Memory Analog Computing Co-Processor for Deep Learning at the Edge”, has been accepted to be presented at the 2020 IBM IEEE AI Compute Symposium.
2020 ICMLA CONFERENCE PAPER
September 21, 2020
Our paper “TSV Extrusion Morphology Classification Using Deep Convolutional Neural Networks”, has been accepted to be presented at the 19th IEEE International Conference on Machine Learning and Applications (ICMLA).