Loai Danial

According to our database, Loai Danial authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Learning Task-Based Trainable Neuromorphic ADCs via Power-Aware Distillation.

Tal Vol, Loai Danial, Nir Shlezinger

CoRR, 2024

Power-Aware Task-Based Learning of Neuromorphic ADCs.

Tal Vol, Loai Danial, Nir Shlezinger

Proceedings of the IEEE International Conference on Acoustics, 2024

2022

Memristive deep belief neural network by silicon synapses.

Wei Wang, Loai Danial, Yang Li, Eric Herbelin, Evgeny Pikhay, Yakov Roizin, Barak Hoffer, Zhongrui Wang, Shahar Kvatinsky

CoRR, 2022

Physical based compact model of Y-Flash memristor for neuromorphic computation.

Wei Wang, Loai Danial, Eric Herbelin, Barak Hoffer, Batel Oved, Tzofnat Greenberg-Toledo, Evgeny Pikhay, Yakov Roizin, Shahar Kvatinsky

CoRR, 2022

2020

Cytomorphic Electronics With Memristors for Modeling Fundamental Genetic Circuits.

Hanna Abo Hanna, Loai Danial, Shahar Kvatinsky, Ramez Daniel

IEEE Trans. Biomed. Circuits Syst., 2020

A Pipelined Memristive Neural Network Analog-to-Digital Converter.

Loai Danial, Kanishka Sharma, Shahar Kvatinsky

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Breaking the Conversion Wall in Mixed-Signal Systems Using Neuromorphic Data Converters.

Loai Danial, Shahar Kvatinsky

Proceedings of the European Conference on Circuit Theory and Design, 2020

Modeling a Floating-Gate Memristive Device for Computer Aided Design of Neuromorphic Computing.

Loai Danial, Vasu Gupta, Evgeny Pikhay, Yakov Roizin, Shahar Kvatinsky

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019

Delta-Sigma Modulation Neurons for High-Precision Training of Memristive Synapses in Deep Neural Networks.

Loai Danial, Sidharth Thomas, Shahar Kvatinsky

Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Logarithmic Neural Network Data Converters using Memristors for Biomedical Applications.

Loai Danial, Kanishka Sharma, Shivansh Dwivedi, Shahar Kvatinsky

Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019

2018

Breaking Through the Speed-Power-Accuracy Tradeoff in ADCs Using a Memristive Neuromorphic Architecture.

Loai Danial, Nicolás Wainstein, Shraga Kraus, Shahar Kvatinsky

IEEE Trans. Emerg. Top. Comput. Intell., 2018

DIDACTIC: A Data-Intelligent Digital-to-Analog Converter with a Trainable Integrated Circuit using Memristors.

Loai Danial, Nicolás Wainstein, Shraga Kraus, Shahar Kvatinsky

IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

Real-Time Trainable Data Converters for General Purpose Applications.

Loai Danial, Shahar Kvatinsky

Proceedings of the 14th IEEE/ACM International Symposium on Nanoscale Architectures, 2018

2017

Design principles of data converters for building large-scale gene networks in living cells.

Ramez Daniel, Luna Rizik, Loai Danial

Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication, 2017

Modeling biochemical reactions and gene networks with memristors.

Hanna Abo Hanna, Loai Danial, Shahar Kvatinsky, Ramez Daniel

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017