47 citations · 166 across the 21 of their papers we have counts for
25 papers
Ethosight: A Reasoning-Guided Iterative Learning System for Nuanced Perception based on Joint-Embedding & Contextual Label Affinity
Hugo Latapie, Shan Yu, Patrick Hammer +14
Traditional computer vision models often necessitate extensive data acquisition, annotation, and validation. These models frequently struggle in real-world applications, resulting…
BP-NTT: Fast and Compact in-SRAM Number Theoretic Transform with Bit-Parallel Modular Multiplication
Jingyao Zhang, Mohsen Imani, Elaheh Sadredini
Number Theoretic Transform (NTT) is an essential mathematical tool for computing polynomial multiplication in promising lattice-based cryptography. However, costly division operati…
Late Breaking Results: Scalable and Efficient Hyperdimensional Computing for Network Intrusion Detection
Junyao Wang, Hanning Chen, Mariam Issa +2
Cybersecurity has emerged as a critical challenge for the industry. With the large complexity of the security landscape, sophisticated and costly deep learning models often fail to…
DistHD: A Learner-Aware Dynamic Encoding Method for Hyperdimensional Classification
Junyao Wang, Sitao Huang, Mohsen Imani
Brain-inspired hyperdimensional computing (HDC) has been recently considered a promising learning approach for resource-constrained devices. However, existing approaches use static…
A Homogeneous Processing Fabric for Matrix-Vector Multiplication and Associative Search Using Ferroelectric Time-Domain Compute-in-Memory
Xunzhao Yin, Qingrong Huang, Franz Müller +8
In this work, we propose a ferroelectric FET(FeFET) time-domain compute-in-memory (TD-CiM) array as a homogeneous processing fabric for binary multiplication-accumulation (MAC) and…
Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing
Sina Shahhosseini, Yang Ni, Hamidreza Alikhani +4
Health monitoring applications increasingly rely on machine learning techniques to learn end-user physiological and behavioral patterns in everyday settings. Considering the signif…