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03/24/2023
Factorizers for Distributed Sparse Block Codes
Distributed sparse block codes (SBCs) exhibit compact representations fo...
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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 ...
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11/09/2022
In-memory factorization of holographic perceptual representations
Disentanglement of constituent factors of a sensory signal is central to...
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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...
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06/03/2022
Scale up your In-Memory Accelerator: Leveraging Wireless-on-Chip Communication for AIMC-based CNN Inference
Analog In-Memory Computing (AIMC) is emerging as a disruptive paradigm f...
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05/22/2022
Wireless On-Chip Communications for Scalable In-memory Hyperdimensional Computing
Hyperdimensional computing (HDC) is an emerging computing paradigm that ...
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03/30/2022
Constrained Few-shot Class-incremental Learning
Continually learning new classes from fresh data without forgetting prev...
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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...
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01/04/2022
A Heterogeneous In-Memory Computing Cluster For Flexible End-to-End Inference of Real-World Deep Neural Networks
Deployment of modern TinyML tasks on small battery-constrained IoT devic...
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09/03/2021
End-to-end 100-TOPS/W Inference With Analog In-Memory Computing: Are We There Yet?
In-Memory Acceleration (IMA) promises major efficiency improvements in d...
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11/08/2020
Graphene-based Wireless Agile Interconnects for Massive Heterogeneous Multi-chip Processors
The main design principles in computer architecture have recently shifte...
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10/05/2020
Robust High-dimensional Memory-augmented Neural Networks
Traditional neural networks require enormous amounts of data to build th...
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05/12/2020
ChewBaccaNN: A Flexible 223 TOPS/W BNN Accelerator
Binary Neural Networks enable smart IoT devices, as they significantly r...
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03/25/2020
ESSOP: Efficient and Scalable Stochastic Outer Product Architecture for Deep Learning
Deep neural networks (DNNs) have surpassed human-level accuracy in a var...
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06/04/2019
In-memory hyperdimensional computing
Hyperdimensional computing (HDC) is an emerging computing framework that...
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03/05/2018