no code implementations • 13 Mar 2024 • Fatima Tuz Zohora, Vedant Karia, Nicholas Soures, Dhireesha Kudithipudi
We demonstrate the efficacy of the proposed mechanism by integrating probabilistic metaplasticity into a spiking network trained on an error threshold with low-precision memristor weights.
no code implementations • 8 Mar 2024 • Gido M. van de Ven, Nicholas Soures, Dhireesha Kudithipudi
This book chapter delves into the dynamics of continual learning, which is the process of incrementally learning from a non-stationary stream of data.
no code implementations • 5 Oct 2023 • Dhireesha Kudithipudi, Anurag Daram, Abdullah M. Zyarah, Fatima Tuz Zohora, James B. Aimone, Angel Yanguas-Gil, Nicholas Soures, Emre Neftci, Matthew Mattina, Vincenzo Lomonaco, Clare D. Thiem, Benjamin Epstein
Lifelong learning - an agent's ability to learn throughout its lifetime - is a hallmark of biological learning systems and a central challenge for artificial intelligence (AI).
2 code implementations • 22 Apr 2020 • Nicholas Soures, David Chambers, Zachariah Carmichael, Anurag Daram, Dimpy P. Shah, Kal Clark, Lloyd Potter, Dhireesha Kudithipudi
The SARS-CoV-2 infectious outbreak has rapidly spread across the globe and precipitated varying policies to effectuate physical distancing to ameliorate its impact.
Populations and Evolution
no code implementations • 26 Feb 2020 • Fatima Tuz Zohora, Abdullah M. Zyarah, Nicholas Soures, Dhireesha Kudithipudi
In the $128\times128$ network, it is observed that the number of input patterns the multistate synapse can classify is $\simeq$ 2. 1x that of a simple binary synapse model, at a mean accuracy of $\geq$ 75% .