172 citations · 425 across the 18 of their papers we have counts for
20 papers
Computing with Hypervectors for Efficient Speaker Identification
Ping-Chen Huang, Denis Kleyko, Jan M. Rabaey +2
We introduce a method to identify speakers by computing with high-dimensional random vectors. Its strengths are simplicity and speed. With only 1.02k active parameters and a 128-mi…
Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks
Denis Kleyko, Geethan Karunaratne, Jan M. Rabaey +2
Memory-augmented neural networks enhance a neural network with an external key-value memory whose complexity is typically dominated by the number of support vectors in the key memo…
Innovating at Speed and at Scale: A Next Generation Infrastructure for Accelerating Semiconductor Technologies
Richard A. Gottscho, Edlyn V. Levine, Tsu-Jae King Liu +7
Semiconductor innovation drives improvements to technologies that are critical to modern society. The country that successfully accelerates semiconductor innovation is positioned t…
A low-overhead approach for self-sovereign identity in IoT
Geovane Fedrecheski, Laisa C. P. Costa, Samira Afzal +3
We present a low-overhead mechanism for self-sovereign identification and communication of IoT agents in constrained networks. Our main contribution is to enable native use of Dece…
Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional Computing
Cameron Diao, Denis Kleyko, Jan M. Rabaey +1
Machine learning algorithms deployed on edge devices must meet certain resource constraints and efficiency requirements. Random Vector Functional Link (RVFL) networks are favored f…
Vector Symbolic Architectures as a Computing Framework for Emerging Hardware
Denis Kleyko, Mike Davies, E. Paxon Frady +8
This article reviews recent progress in the development of the computing framework vector symbolic architectures (VSA) (also known as hyperdimensional computing). This framework is…
Efficient emotion recognition using hyperdimensional computing with combinatorial channel encoding and cellular automata
Alisha Menon, Anirudh Natarajan, Reva Agashe +5
In this paper, a hardware-optimized approach to emotion recognition based on the efficient brain-inspired hyperdimensional computing (HDC) paradigm is proposed. Emotion recognition…
Memory-Efficient, Limb Position-Aware Hand Gesture Recognition using Hyperdimensional Computing
Andy Zhou, Rikky Muller, Jan Rabaey
Electromyogram (EMG) pattern recognition can be used to classify hand gestures and movements for human-machine interface and prosthetics applications, but it often faces reliabilit…
Sparse-Push: Communication- & Energy-Efficient Decentralized Distributed Learning over Directed & Time-Varying Graphs with non-IID Datasets
Sai Aparna Aketi, Amandeep Singh, Jan Rabaey
Current deep learning (DL) systems rely on a centralized computing paradigm which limits the amount of available training data, increases system latency, and adds privacy and secur…
Heartbeat-Based Synchronization Scheme for the Human Intranet: Modeling and Analysis
Robin Benarrouch, Ali Moin, Flavien Solt +4
Sharing a common clock signal among the nodes is crucial for communication in synchronized networks. This work presents a heartbeat-based synchronization scheme for body-worn nodes…
Nanotechnology-inspired Information Processing Systems of the Future
Randy Bryant, Mark Hill, Tom Kazior +9
Nanoscale semiconductor technology has been a key enabler of the computing revolution. It has done so via advances in new materials and manufacturing processes that resulted in the…
Self-Sovereign Identity for IoT environments: A Perspective
Geovane Fedrecheski, Jan M. Rabaey, Laisa C. P. Costa +3
This paper analyses the concept of Self-Sovereign Identity (SSI), an emerging approach for establishing digital identity, in the context of the Internet of Things (IoT). We contras…
Analysis of Contraction Effort Level in EMG-Based Gesture Recognition Using Hyperdimensional Computing
Ali Moin, Andy Zhou, Simone Benatti +3
Varying contraction levels of muscles is a big challenge in electromyography-based gesture recognition. Some use cases require the classifier to be robust against varying force cha…
Hyperdimensional Computing Nanosystem
Abbas Rahimi, Tony F. Wu, Haitong Li +4
One viable solution for continuous reduction in energy-per-operation is to rethink functionality to cope with uncertainty by adopting computational approaches that are inherently r…
Adaptive Body Area Networks Using Kinematics and Biosignals
Ali Moin, Arno Thielens, Alvaro Araujo +2
The increasing penetration of wearable and implantable devices necessitates energy-efficient and robust ways of connecting them to each other and to the cloud. However, the wireles…
An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional Classifier
Ali Moin, Andy Zhou, Abbas Rahimi +10
EMG-based gesture recognition shows promise for human-machine interaction. Systems are often afflicted by signal and electrode variability which degrades performance over time. We…
WAND: A 128-channel, closed-loop, wireless artifact-free neuromodulation device
Andy Zhou, Samantha R. Santacruz, Benjamin C. Johnson +6
Closed-loop neuromodulation systems aim to treat a variety of neurological conditions by dynamically delivering and adjusting therapeutic electrical stimulation in response to a pa…
On the Total-Power Capacity of Regular-LDPC Codes with Iterative Message-Passing Decoders
Karthik Ganesan, Pulkit Grover, Jan Rabaey +1
Motivated by recently derived fundamental limits on total (transmit + decoding) power for coded communication with VLSI decoders, this paper investigates the scaling behavior of th…
Neural Dust: An Ultrasonic, Low Power Solution for Chronic Brain-Machine Interfaces
Dongjin Seo, Jose M. Carmena, Jan M. Rabaey +2
A major hurdle in brain-machine interfaces (BMI) is the lack of an implantable neural interface system that remains viable for a lifetime. This paper explores the fundamental syste…
Physical Principles for Scalable Neural Recording
Adam H. Marblestone, Bradley M. Zamft, Yael G. Maguire +15
Simultaneously measuring the activities of all neurons in a mammalian brain at millisecond resolution is a challenge beyond the limits of existing techniques in neuroscience. Entir…