no code implementations • 20 Apr 2024 • Zhepeng Wang, Yi Sheng, Nirajan Koirala, Kanad Basu, Taeho Jung, Cheng-Chang Lu, Weiwen Jiang
Experimental results on simulation and the actual IBM quantum computer both prove the ability of PristiQ to provide high security for the quantum data while maintaining the model performance in QML.
no code implementations • 2 Apr 2024 • Ayush Arunachalam, Ian Kintz, Suvadeep Banerjee, Arnab Raha, Xiankun Jin, Fei Su, Viswanathan Pillai Prasanth, Rubin A. Parekhji, Suriyaprakash Natarajan, Kanad Basu
Our approach encompasses a systematic analysis of anomaly abstraction at multiple levels pertaining to the automotive domain, from hardware- to block-level, where anomalies are injected to create diverse fault scenarios.
no code implementations • 1 Jan 2022 • Ayush Arunachalam, S. Novia Berriel, Parag Banerjee, Kanad Basu
The proposed approach has tremendous implications of faster data acquisition, reduced hardware complexity and easier integration of spectroscopic ellipsometry for in situ monitoring of film thickness deposition.
no code implementations • 8 Jan 2021 • Ayesha Siddique, Kanad Basu, Khaza Anuarul Hoque
Our quantitative analysis shows that the permanent faults exacerbate the accuracy loss in AxDNNs when compared to the accurate DNN accelerators.
no code implementations • 5 Jun 2020 • Shamik Kundu, Ahmet Soyyiğit, Khaza Anuarul Hoque, Kanad Basu
The advent of data-driven real-time applications requires the implementation of Deep Neural Networks (DNNs) on Machine Learning accelerators.
no code implementations • 6 Apr 2020 • Virinchi Roy Surabhi, Prashanth Krishnamurthy, Hussam Amrouch, Kanad Basu, Jörg Henkel, Ramesh Karri, Farshad Khorrami
Combining IC aging with over-clocking produces a pattern of bit errors at the IC output by the induced timing violations.
no code implementations • 11 Feb 2018 • Jeff Zhang, Tianyu Gu, Kanad Basu, Siddharth Garg
Due to their growing popularity and computational cost, deep neural networks (DNNs) are being targeted for hardware acceleration.