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Subutai Ahmad

Subutai Ahmad

D-Index & Metrics

Computer Science

D-Index
37
Citations
7292
World Ranking
10590
National Ranking
4435

Overview

Subutai Ahmad is affiliated with Numenta in the United States and conducts research at the intersection of computer science, neuroscience, and engineering. Their work notably spans artificial intelligence, electrical and electronic engineering, and cognitive neuroscience, with a focus on neural dynamics and brain function as well as advanced memory and neural computing.

Their research covers several advanced topics including domain adaptation and few-shot learning, neural networks and applications, ferroelectric and negative capacitance devices, advanced neural network applications, and multimodal machine learning applications.

Notable recent papers authored or coauthored by Subutai Ahmad include:

  • "Avalanche: An end-to-end library for continual learning," 2021, published in CINECA IRIS Institutional Research Information System (University of Pisa)
  • "Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments," 2022, published in Frontiers in Neurorobotics
  • "A thousand brains: toward biologically constrained AI," 2021, published in SN Applied Sciences
  • "Going Beyond the Point Neuron: Active Dendrites and Sparse Representations for Continual Learning," 2021, published in bioRxiv (Cold Spring Harbor Laboratory)
  • "Two sparsities are better than one: unlocking the performance benefits of sparse-sparse networks," 2022, published in Neuromorphic Computing and Engineering

Their publication records show frequent appearances in venues such as arXiv (Cornell University), CINECA IRIS Institutional Research Information System (University of Pisa), Frontiers in Neurorobotics, bioRxiv (Cold Spring Harbor Laboratory), and SN Applied Sciences.

Among frequent collaborators are Jérémy Forest, Karan Grewal, Lawrence Spracklen, Vincenzo Lomonaco, and Lorenzo Pellegrini. These collaborations reflect a group of researchers active in overlapping fields of machine learning, neuroscience, and computational modeling.

Best Publications

  • Unsupervised real-time anomaly detection for streaming data

    Subutai Ahmad;Alexander Lavin;Scott Purdy;Zuha Agha

  • Evaluating Real-Time Anomaly Detection Algorithms -- The Numenta Anomaly Benchmark

    Alexander Lavin;Subutai Ahmad

  • Why Neurons Have Thousands of Synapses, a Theory of Sequence Memory in Neocortex.

    Jeff Hawkins;Subutai Ahmad

  • Browser for use in navigating a body of information, with particular application to browsing information represented by audiovisual data

    Subutai Ahmad;Neal A. Bhadkamkar;Steve B. Cousins;Emanuel E. Farber

  • Method for video enabled electronic commerce

    Subutai Ahmad

  • Continuous online sequence learning with an unsupervised neural network model

    Yuwei Cui;Subutai Ahmad;Jeff Hawkins

  • Video processing system

    Sai-Wai Fu;Hon Pun Sit;Subutai Ahmad;Sadie Louise Honey

  • Display pause with elastic playback

    Subutai Ahmad;Neal A. Bhadkamkar;Steve B. Cousins;Paul A. Freiberger

  • Videowiedergabe mit synchronisiertem ton bei veränderlicher geschwindigkeit

    Neal A Bhadkamkar;Subutai Ahmad;Michele Covell

  • A Theory of How Columns in the Neocortex Enable Learning the Structure of the World.

    Jeff Hawkins;Subutai Ahmad;Yuwei Cui

  • A Framework for Intelligence and Cortical Function Based on Grid Cells in the Neocortex.

    Jeff Hawkins;Marcus Lewis;Mirko Klukas;Scott Purdy

  • Training Neural Networks with Deficient Data

    Volker Tresp;Subutai Ahmad;Ralph Neuneier

  • Some Solutions to the Missing Feature Problem in Vision

    Subutai Ahmad;Volker Tresp

  • Properties of Sparse Distributed Representations and their Application to Hierarchical Temporal Memory.

    Subutai Ahmad;Jeff Hawkins

  • The HTM Spatial Pooler-A Neocortical Algorithm for Online Sparse Distributed Coding.

    Yuwei Cui;Subutai Ahmad;Jeff Hawkins

  • Network Structuring and Training Using Rule-based Knowledge

    Volker Tresp;Jürgen Hollatz;Subutai Ahmad

  • Automatic selection of a visual image or images from a collection of visual images, based on an evaluation of the quality of the visual images

    Michele M. Covell;Subutai Ahmad;Katerina L. Shiffer

  • VERFAHREN ZUR KOMPRESSION MEHRERER VIDEOBILDER

    Ahmad Subutai

  • Automatic editing of a visual recording to eliminate content of unacceptably low quality and/or very little or no interest

    Jeffrey L. Edwards;Subutai Ahmad

  • Indirect manipulation of data using temporally related data, with particular application to manipulation of audio or audiovisual data

    Subutai Ahmad;Emanuel E. Farber

  • Avalanche: an End-to-End Library for Continual Learning

    Vincenzo Lomonaco;Lorenzo Pellegrini;Andrea Cossu;Antonio Carta

Frequent Co-Authors

Michele Covell
Michele Covell Google (United States)
Volker Tresp
Volker Tresp Ludwig-Maximilians-Universität München
Gerald Tesauro
Gerald Tesauro IBM (United States)

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