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@Nu-AI

Nu.AI Laboratory @ UTSA

Neuromorphic Artificial Intelligence Lab@UTSA

Over the past decade, research in the NUAI lab is paving a path to revolutionize the next generation of intelligent platforms. We strive to achieve this through an interdisciplinary research approach. The fundamental questions that we strive to answer include:

  • Can our understanding of human neural processing and perception lead to new AI algorithms and hardware advances?
  • How can we design AI that learns continually through its lifetime? Can we achieve this in a resource efficient manner?

Our team has developed new brain-inspired algorithms, AI platforms, and energy efficient machine learning substrates. Our research lab takes pride in fostering a highly stimulating student-centric research environment. The key research areas in the lab are

  1. Lifelong Learning
  2. Neuromorphic Accelerator development
  3. Plasticity in Spiking Neural Networks
  4. Model Compression
  5. Emerging Technologies
  6. Edge Computing Applications

Candidates interested in the NUAI Lab should first read through the lab research areas available on the NuAI lab website prior to contacting Dr. Kudithipudi by email.

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Repositories

Showing 9 of 9 repositories
  • Livid-About-COVID Public

    Forecasting the spread of the novel coronavirus

    Nu-AI/Livid-About-COVID’s past year of commit activity
    Python 10 GPL-3.0 3 0 5 Updated Mar 1, 2024
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    Nu-AI/.github’s past year of commit activity
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  • RelationalNeurogenesis Public

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    Nu-AI/RelationalNeurogenesis’s past year of commit activity
    Python 5 BSD-2-Clause 0 0 0 Updated Oct 28, 2023
  • Nu-AI/Anomaly_detection’s past year of commit activity
    Jupyter Notebook 0 0 0 0 Updated Mar 8, 2023
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    Nu-AI/Neuromodulatory_OneShotLearning’s past year of commit activity
    Python 1 0 0 18 Updated Feb 16, 2023
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    Python 0 0 0 0 Updated Oct 3, 2022
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    Nu-AI/Temporal_MNIST’s past year of commit activity
    Python 0 MIT 0 0 0 Updated Aug 24, 2022
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    This repository summaries the research studies related to deep learning with posit arithmetic. The studies are sorted by the publication dates either on Conference/Journal or ArXiv and OpenReview. Feel free to reach me (seyed hamed fatemi langroudi) at (email: sf3052@rit.edu) if your publication is missed or the publication date is wrong.

    Nu-AI/Posit_Research_Studies’s past year of commit activity
    5 1 0 0 Updated Jul 19, 2022
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    Sample repo displaying the structure and organization of the repositories

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