Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Clare Thiem"'
Publikováno v:
2023 24th International Symposium on Quality Electronic Design (ISQED).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b5b7f279e7fa929851c4d6e60ac05c2
https://doi.org/10.1109/isqed57927.2023.10129352
https://doi.org/10.1109/isqed57927.2023.10129352
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 67:1715-1719
In this brief, we propose a novel energy-efficient temporal-spatial information processing circuit that serves as the signal pre-processing interface for spiking neural networks. In order to transform sensory information into a highly efficient neura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::026471b6b2b0d3a6eb94cf3015fe00b9
https://doi.org/10.1109/tcsii.2019.2945690
https://doi.org/10.1109/tcsii.2019.2945690
Autor:
Cory Merkel, Eric Herrmann, Alexander Jones, Andrew Rush, Clare Thiem, Rashmi Jha, Jacob Ajey Poovannummoottil
Publikováno v:
Neurocomputing. 381:89-104
Navigation in GPS-denied environments is a critical challenge for autonomous mobile platforms such as drones. The concept of simultaneous localization and mapping (SLAM) addresses this challenge through real-time mapping of the platform's surrounding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3644e150fece70a300195a0a120dcb7
https://doi.org/10.1016/j.neucom.2019.09.098
https://doi.org/10.1016/j.neucom.2019.09.098
Publikováno v:
ISQED
In the modern privacy-sensitive environment, identifying a particular radio device among a larger pool of Internet-of-Thing (IoT) facilities has become more difficult than ever. In particular, the identification process is susceptible to security, mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb1ac4dac44b2b7a532f3ca6feb45190
https://doi.org/10.1109/isqed51717.2021.9424319
https://doi.org/10.1109/isqed51717.2021.9424319
Publikováno v:
IEEE Consumer Electronics Magazine. 6:67-73
The rich computational dynamics coupled with simple training in reservoir computing (RC) algorithms makes them a natural choice for spatiotemporal learning systems in embedded platforms. In this article, we study three variants of the reservoir algor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4eaaf32cb087c91e7eeb76409d5d6390
https://doi.org/10.1109/mce.2017.2685159
https://doi.org/10.1109/mce.2017.2685159
Autor:
Bryant Wysocki, Nathan McDonald, Yang Yi, Clare Thiem, Chenyuan Zhao, Lingjia Liu, Jialing Li
Publikováno v:
IEEE Transactions on Multi-Scale Computing Systems. 2:265-276
Neuromorphic computing hardware has undergone a rapid development and progress in the past few years. One of the key components in neuromorphic computing systems is the neural encoder which transforms sensory information into spike trains. In this pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78ac68a51fd2507570cd2ec8a7f62c16
https://doi.org/10.1109/tmscs.2016.2607164
https://doi.org/10.1109/tmscs.2016.2607164
Publikováno v:
ACM Journal on Emerging Technologies in Computing Systems. 12:1-21
This article presents our research towards developing novel and fundamental methodologies for data representation using spike-timing-dependent encoding. Time encoding efficiently maps a signal's amplitude information into a spike time sequence that r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a40f02dbc8f0e768cd0dd3c68ec44b7
https://doi.org/10.1145/2738040
https://doi.org/10.1145/2738040
Publikováno v:
SPIE Proceedings.
A fully parallel, silicon-based artificial neural network (CM1K) built on zero instruction set computer (ZISC) technology was used for change detection and object identification in video data. Fundamental pattern recognition capabilities were demonst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04990874673f0642974f79c464d46171
https://doi.org/10.1117/12.2052440
https://doi.org/10.1117/12.2052440
Publikováno v:
SPIE Proceedings.
Detecting and identifying targets in unmanned aerial vehicle (UAV) images and videos have been challenging problems due to various types of image distortion. Moreover, the significantly high processing overhead of existing image/video processing tech
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52813c769282f116d0024479faec2b77
https://doi.org/10.1117/12.2054049
https://doi.org/10.1117/12.2054049
The research conducted in this project can be broken down into two parallel tracks, development of self-reconfigurable neuromorphic computing architectures utilizing memristive nanotechnology, and analysis and utilization of newly available hardware-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d90bcde23c4bc69914a64bb3259ebb5
https://doi.org/10.21236/ada603822
https://doi.org/10.21236/ada603822
