Abbas Rahimi | DeepAI

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∙ 07/10/2023

Model-Driven Engineering for Artificial Intelligence – A Systematic Literature Review

Objective: This study aims to investigate the existing body of knowledge...

0 Simon Raedler, et al. ∙

∙ 03/24/2023

Factorizers for Distributed Sparse Block Codes

Distributed sparse block codes (SBCs) exhibit compact representations fo...

0 Michael Hersche, et al. ∙

∙ 02/04/2023

WHYPE: A Scale-Out Architecture with Wireless Over-the-Air Majority for Scalable In-memory Hyperdimensional Computing

Hyperdimensional computing (HDC) is an emerging computing paradigm that ...

0 Robert Guirado, et al. ∙

∙ 11/09/2022

In-memory factorization of holographic perceptual representations

Disentanglement of constituent factors of a sensory signal is central to...

0 Jovin Langenegger, et al. ∙

∙ 07/14/2022

In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory

Continually learning new classes from a few training examples without fo...

12 Geethan Karunaratne, et al. ∙

∙ 05/22/2022

Wireless On-Chip Communications for Scalable In-memory Hyperdimensional Computing

Hyperdimensional computing (HDC) is an emerging computing paradigm that ...

0 Robert Guirado, et al. ∙

∙ 03/30/2022

Constrained Few-shot Class-incremental Learning

Continually learning new classes from fresh data without forgetting prev...

0 Michael Hersche, et al. ∙

∙ 03/11/2022

Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks

Memory-augmented neural networks enhance a neural network with an extern...

0 Denis Kleyko, et al. ∙

∙ 03/09/2022

A Neuro-vector-symbolic Architecture for Solving Raven's Progressive Matrices

Neither deep neural networks nor symbolic AI alone have approached the k...

7 Michael Hersche, et al. ∙

∙ 11/11/2021

A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations

This two-part comprehensive survey is devoted to a computing framework m...

0 Denis Kleyko, et al. ∙

∙ 06/09/2021

Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware

This article reviews recent progress in the development of the computing...

0 Denis Kleyko, et al. ∙

∙ 02/04/2021

A 5 μW Standard Cell Memory-based Configurable Hyperdimensional Computing Accelerator for Always-on Smart Sensing

Hyperdimensional computing (HDC) is a brain-inspired computing paradigm ...

0 Manuel Eggimann, et al. ∙

∙ 10/14/2020

Binarization Methods for Motor-Imagery Brain-Computer Interface Classification

Successful motor-imagery brain-computer interface (MI-BCI) algorithms ei...

0 Michael Hersche, et al. ∙

∙ 10/05/2020

Robust High-dimensional Memory-augmented Neural Networks

Traditional neural networks require enormous amounts of data to build th...

1 Geethan Karunaratne, et al. ∙

∙ 06/04/2019

In-memory hyperdimensional computing

Hyperdimensional computing (HDC) is an emerging computing framework that...

0 Geethan Karunaratne, et al. ∙

∙ 01/02/2019

Adaptive EMG-based hand gesture recognition using hyperdimensional computing

Accurate recognition of hand gestures is crucial to the functionality of...

0 Ali Moin, et al. ∙

∙ 12/13/2018

Exploring Embedding Methods in Binary Hyperdimensional Computing: A Case Study for Motor-Imagery based Brain-Computer Interfaces

Key properties of brain-inspired hyperdimensional (HD) computing make it...

0 Michael Hersche, et al. ∙

∙ 11/23/2018

Hyperdimensional Computing Nanosystem

One viable solution for continuous reduction in energy-per-operation is ...

0 Abbas Rahimi, et al. ∙

∙ 09/06/2018

One-shot Learning for iEEG Seizure Detection Using End-to-end Binary Operations: Local Binary Patterns with Hyperdimensional Computing

This paper presents an efficient binarized algorithm for both learning a...

0 Alessio Burrello, et al. ∙

∙ 02/28/2018

An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional Classifier

EMG-based gesture recognition shows promise for human-machine interactio...

0 Ali Moin, et al. ∙

∙ 12/04/2017

An 826 MOPS, 210 uW/MHz Unum ALU in 65 nm

To overcome the limitations of conventional floating-point number format...

0 Florian Glaser, et al. ∙

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