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09/19/2023
A Blueprint for Precise and Fault-Tolerant Analog Neural Networks
Analog computing has reemerged as a promising avenue for accelerating de...
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07/07/2023
INT-FP-QSim: Mixed Precision and Formats For Large Language Models and Vision Transformers
The recent rise of large language models (LLMs) has resulted in increase...
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06/15/2023
Leveraging Residue Number System for Designing High-Precision Analog Deep Neural Network Accelerators
Achieving high accuracy, while maintaining good energy efficiency, in an...
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06/05/2023
Sensitivity-Aware Finetuning for Accuracy Recovery on Deep Learning Hardware
Existing methods to recover model accuracy on analog-digital hardware in...
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05/29/2023
Key Rate Analysis of a 3-State Twin-Field Quantum Key Distribution Protocol in the Finite-key Regime
When analysing Quantum Key Distribution (QKD) protocols several metrics ...
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05/12/2022
Adaptive Block Floating-Point for Analog Deep Learning Hardware
Analog mixed-signal (AMS) devices promise faster, more energy-efficient ...
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09/02/2021