no code implementations • 5 Jul 2021 • Pranav O. Mathews, Christian B. Duffee, Abel Thayil, Ty E. Stovall, Christopher H. Bennett, Felipe Garcia-Sanchez, Matthew J. Marinella, Jean Anne C. Incorvia, Naimul Hassan, Xuan Hu, Joseph S. Friedman
Neuromorphic computing systems overcome the limitations of traditional von Neumann computing architectures.
no code implementations • 11 Jun 2021 • Abbas A. Zaki, Noah C. Parker, Tae-Yoon Kim, Sam Ishak, Ty E. Stovall, Genchang Peng, Hina Dave, Jay Harvey, Mehrdad Nourani, Xuan Hu, Alexander J. Edwards, Joseph S. Friedman
Similarly, power calculations were performed, demonstrating that the system uses $6. 5 \mu W$ per channel, which when compared to the state-of-the-art NeuroPace system would increase battery life by up to $50 \%$.
no code implementations • 16 Mar 2021 • Alexander J. Edwards, Dhritiman Bhattacharya, Peng Zhou, Nathan R. McDonald, Walid Al Misba, Lisa Loomis, Felipe Garcia-Sanchez, Naimul Hassan, Xuan Hu, Md. Fahim Chowdhury, Clare D. Thiem, Jayasimha Atulasimha, Joseph S. Friedman
We therefore propose a reservoir that meets all of these criteria by leveraging the passive interactions of dipole-coupled, frustrated nanomagnets.
no code implementations • 11 Nov 2020 • Wesley H. Brigner, Naimul Hassan, Xuan Hu, Christopher H. Bennett, Felipe Garcia-Sanchez, Can Cui, Alvaro Velasquez, Matthew J. Marinella, Jean Anne C. Incorvia, Joseph S. Friedman
This work proposes modifications to these spintronic neurons that enable configuration of the activation functions through control of the shape of a magnetic domain wall track.
no code implementations • 3 Feb 2020 • Wesley H. Brigner, Naimul Hassan, Xuan Hu, Christopher H. Bennett, Felipe Garcia-Sanchez, Matthew J. Marinella, Jean Anne C. Incorvia, Joseph S. Friedman
Neuromorphic computing promises revolutionary improvements over conventional systems for applications that process unstructured information.
no code implementations • 9 Dec 2019 • Farid Kenarangi, Xuan Hu, Yihan Liu, Jean Anne C. Incorvia, Joseph S. Friedman, Inna Partin-Vaisband
Ambipolar carbon nanotube based field-effect transistors (AP-CNFETs) exhibit unique electrical characteristics, such as tri-state operation and bi-directionality, enabling systems with complex and reconfigurable computing.