Mohammad I Hasan

Nov 30, 2024 | arxiv.org | Mohammad I Hasan

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Jun 11, 2024 | cnn.com | Brent Swails |Clarissa Ward |Mohammad I Hasan

He had had visitors just once before, years ago when he first arrived in prison at 14. Blindfolded and led into a room by a masked guard, he said he was made to sit on a plastic chair under a cold fluorescent light and questioned by American officials. Stefan Uterloo, now 19, told them he had an uncle in the United States but couldn’t remember where. He suspects they lost interest when they realized he wasn’t American but instead from Suriname, a small, former Dutch colony in South America.

May 17, 2024 | arxiv.org | Mohammad I Hasan

[Submitted on 17 May 2024] Title:Cost-Effective Fault Tolerance for CNNs Using Parameter Vulnerability Based Hardening and Pruning View a PDF of the paper titled Cost-Effective Fault Tolerance for CNNs Using Parameter Vulnerability Based Hardening and Pruning, by Mohammad Hasan Ahmadilivani and 4 other authors View PDF HTML (experimental) Abstract:Convolutional Neural Networks (CNNs) have become integral in safety-critical applications, thus raising concerns about their fault tolerance.

Jun 16, 2023 | arxiv.org | Mohammad I Hasan

[Submitted on 16 Jun 2023] Title:Enhancing Fault Resilience of QNNs by Selective Neuron Splitting Download a PDF of the paper titled Enhancing Fault Resilience of QNNs by Selective Neuron Splitting, by Mohammad Hasan Ahmadilivani and 4 other authors Download PDF Abstract: The superior performance of Deep Neural Networks (DNNs) has led to theirapplication in various aspects of human life.

May 9, 2023 | arxiv.org | Mohammad I Hasan

[Submitted on 9 May 2023] Title:A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks Download a PDF of the paper titled A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks, by Mohammad Hasan Ahmadilivani and 4 other authors Download PDF Abstract: Artificial Intelligence (AI) and, in particular, Machine Learning (ML) have emerged to be utilized in various applications due to their capability to learn...