research
∙
07/10/2023
Model-Driven Engineering for Artificial Intelligence – A Systematic Literature Review
Objective: This study aims to investigate the existing body of knowledge...
share
research
∙
03/24/2023
Factorizers for Distributed Sparse Block Codes
Distributed sparse block codes (SBCs) exhibit compact representations fo...
research
∙
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 ...
research
∙
11/09/2022
In-memory factorization of holographic perceptual representations
Disentanglement of constituent factors of a sensory signal is central to...
research
∙
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...
research
∙
05/22/2022
Wireless On-Chip Communications for Scalable In-memory Hyperdimensional Computing
Hyperdimensional computing (HDC) is an emerging computing paradigm that ...
research
∙
03/30/2022
Constrained Few-shot Class-incremental Learning
Continually learning new classes from fresh data without forgetting prev...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
06/09/2021
Vector Symbolic Architectures as a Computing Framework for Nanoscale Hardware
This article reviews recent progress in the development of the computing...
research
∙
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 ...
research
∙
10/14/2020
Binarization Methods for Motor-Imagery Brain-Computer Interface Classification
Successful motor-imagery brain-computer interface (MI-BCI) algorithms ei...
research
∙
10/05/2020
Robust High-dimensional Memory-augmented Neural Networks
Traditional neural networks require enormous amounts of data to build th...
research
∙
06/04/2019
In-memory hyperdimensional computing
Hyperdimensional computing (HDC) is an emerging computing framework that...
research
∙
01/02/2019
Adaptive EMG-based hand gesture recognition using hyperdimensional computing
Accurate recognition of hand gestures is crucial to the functionality of...
research
∙
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...
research
∙
11/23/2018
Hyperdimensional Computing Nanosystem
One viable solution for continuous reduction in energy-per-operation is ...
research
∙
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...
research
∙
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...
research
∙
12/04/2017