Search Results for author: Abdullah M. Zyarah

Found 5 papers, 0 papers with code

Neuromorphic Architecture for the Hierarchical Temporal Memory

no code implementations17 Aug 2018 Abdullah M. Zyarah, Dhireesha Kudithipudi

The spatial pooler architecture is synthesized on Xilinx ZYNQ-7, with 91. 16% classification accuracy for MNIST and 90\% accuracy for EUNF, with noise.

Anomaly Detection Self-Learning

Neuromemrisitive Architecture of HTM with On-Device Learning and Neurogenesis

no code implementations27 Dec 2018 Abdullah M. Zyarah, Dhireesha Kudithipudi

A memristor that is suitable for emulating the HTM synapses is identified and a new Z-window function is proposed.

Metaplasticity in Multistate Memristor Synaptic Networks

no code implementations26 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% .

Continual Learning

End-to-End Memristive HTM System for Pattern Recognition and Sequence Prediction

no code implementations22 Jun 2020 Abdullah M. Zyarah, Kevin Gomez, Dhireesha Kudithipudi

We also illustrate that the system offers 3. 46X reduction in latency and 77. 02X reduction in power consumption when compared to a custom CMOS digital design implemented at the same technology node.

Edge-computing Low-latency processing

Design Principles for Lifelong Learning AI Accelerators

no code implementations5 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).

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