Five faculty and one staff member from the college were recently recognized for their work and dedication. The awards are based on excellence in research, teaching and service. Learn more about the award winners: https://t.co/5v1DkCGwJp
Bridging communication gaps! Dr. Ramtin Zand unveils a hybrid AI system for real-time sign language translation, combining vision & language models for inclusivity. Explore this innovation: https://t.co/haqYIzThiG @icas_lab@ramtin_zand
The Computer Science & Engineering Research Symposium was held this past Friday. CEC graduate students presented their research posters to fellow students, faculty, Industrial Advisory Board members and invited guests from local businesses.
This paper explores the nature of stochasticity in #quantum#machinelearning models and examines the possibility of attaining comparable outcomes by integrating equivalent stochastic elements into classical #ML models.
Tomorrow at 10 AM PST, Joseph Lindsay will be presenting our work titled "A Novel Stochastic LSTM Model Inspired by Quantum Machine Learning" at the 24th International Symposium on Quality Electronic Design (#ISQED23).
We used three various #machinelearning models - Support Vector Machine, Random Forest, and Neural Network – in combination with feature importance algorithms to identify the most significant factor contributing to a component failure.
Tomorrow, our Graduate Student, Brendan Reidy, will be presenting our work titled “Application of Machine Learning for Quality Risk Factor Analysis of Electronic Assemblies,” at the 24th International Symposium on Quality Electronic Design (#ISQED23).
The project involved close collaborations with the Component Engineering group at @JuniperNetworks to gather a dataset of more than 10 million electronic components on various PCBAs manufactured by the company.
Call for paper for @icons_neuro 2023 is out!
Deadline: April 15th
Conference: August 1-3
We look forward to seeing y'all in beautiful Santa Fe!
So submit your paper! :)
Our recent paper on approximate #TPU architecture is now available in the December 2022 issue of @i_tcas journal.
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APTPU: Approximate Computing Based Tensor Processing Unit https://t.co/tzVl4fD40E
Our recent paper published at @IEEEJETCAS on the impacts of parasitics and noise on memristive #InMemoryComputing circuits, and how to alleviate them
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Xbar-Partitioning: A Practical Way for Parasitics and Noise Tolerance in Analog IMC Circuits https://t.co/PeAQtcMfQQ
Exciting news! Our lab's paper "APTPU: Approximate Computing Based Tensor Processing Unit" has been accepted in the IEEE Transactions on Circuits and Systems I. Check out the full paper here: https://t.co/LbtmsbYTfn. #approximatecomputing#machinelearning#tensorprocessing
Dr. @ramtin_zand will deliver a talk on September 1st at 9:15 AM EST at Post CMOS Reconfigurable Fabrics Workshop at International Conference on Field Programmable Logic and Applications (#FPL2022).
Title of the Talk: Hybrid CMOS-Memristive FPGAs: Opportunities and Challenges