Olivia Chen
YOU?
Author Swipe
View article: Explainable AI for Battery Degradation Prediction in EVs: Toward Transparent Energy Forecasting
Explainable AI for Battery Degradation Prediction in EVs: Toward Transparent Energy Forecasting Open
The rapid growth of electric vehicles (EVs) has intensified the demand for accurate and interpretable battery health prediction systems. While machine learning models have demonstrated high accuracy in forecasting battery degradation, thei…
View article: The Intersection of AI And Filmmaking: Creative Opportunities And Ethical Challenges
The Intersection of AI And Filmmaking: Creative Opportunities And Ethical Challenges Open
The advent of artificial intelligence (AI) has transformed various industries, and the world of filmmaking is no exception. From automating labor-intensive editing processes to creating hyper-realistic CGI, AI is redefining how films are c…
View article: SuperSIM: a comprehensive benchmarking framework for neural networks using superconductor Josephson devices
SuperSIM: a comprehensive benchmarking framework for neural networks using superconductor Josephson devices Open
This paper introduces SuperSIM, a benchmarking framework tailored for neural networks using superconducting Josephson devices, specifically focusing on Adiabatic Quantum Flux Parametron (AQFP) based Processing-in-Memory (PIM) architectures…
View article: SuperFlow: A Fully-Customized RTL-to-GDS Design Automation Flow for Adiabatic Quantum-Flux-Parametron Superconducting Circuits
SuperFlow: A Fully-Customized RTL-to-GDS Design Automation Flow for Adiabatic Quantum-Flux-Parametron Superconducting Circuits Open
Superconducting circuits, like Adiabatic Quantum-Flux-Parametron (AQFP), offer exceptional energy efficiency but face challenges in physical design due to sophisticated spacing and timing constraints. Current design tools often neglect the…
View article: Dual-mode neuron design with deterministic and non-deterministic operations using adiabatic superconductor devices
Dual-mode neuron design with deterministic and non-deterministic operations using adiabatic superconductor devices Open
In this research, we unveil an innovative strategy in neuromorphic computing by developing a neuron model tailored for the energy-efficient Adiabatic Quantum-Flux-Parametron (AQFP) logic. This model is particularly aimed at enhancing neura…
View article: SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices
SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices Open
Adiabatic Quantum-Flux-Parametron (AQFP) is a superconducting logic with extremely high energy efficiency. By employing the distinct polarity of current to denote logic '0' and '1', AQFP devices serve as excellent carriers for binary neura…
View article: SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices
SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices Open
Adiabatic Quantum-Flux-Parametron (AQFP) is a superconducting logic with extremely high energy efficiency. By employing the distinct polarity of current to denote logic `0' and `1', AQFP devices serve as excellent carriers for binary neura…
View article: Results From the ColdFlux Superconductor Integrated Circuit Design Tool Project
Results From the ColdFlux Superconductor Integrated Circuit Design Tool Project Open
International audience
View article: A Life-Cycle Energy and Inventory Analysis of Adiabatic Quantum-Flux-Parametron Circuits
A Life-Cycle Energy and Inventory Analysis of Adiabatic Quantum-Flux-Parametron Circuits Open
The production process of superconductive integrated circuits is complex and consumes significant amounts of resources and energy. Therefore, it is crucial to evaluate the environmental impact of this emerging technology. An attractive opt…
View article: Scalable true random number generator using adiabatic superconductor logic
Scalable true random number generator using adiabatic superconductor logic Open
Alternative computing such as stochastic computing and bio-inspired computing holds promise for overcoming the limitations of von Neumann computers. However, one difficulty in the implementation of such alternative computing is the need fo…
View article: Adiabatic Quantum-Flux-Parametron: Towards Building Extremely Energy-Efficient Circuits and Systems
Adiabatic Quantum-Flux-Parametron: Towards Building Extremely Energy-Efficient Circuits and Systems Open
Adiabatic Quantum-Flux-Parametron (AQFP) logic is an adiabatic superconductor logic family that has been proposed as a future technology towards building extremely energy-efficient computing systems. In AQFP logic, dynamic energy dissipati…
View article: A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology
A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology Open
The Adiabatic Quantum-Flux-Parametron (AQFP) superconducting technology has\nbeen recently developed, which achieves the highest energy efficiency among\nsuperconducting logic families, potentially huge gain compared with\nstate-of-the-art…