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Neural Inspired Behaviors in Electronics.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Neural Inspired Behaviors in Electronics./
作者:
Taghavi Nezam Abad, Milad.
面頁冊數:
1 online resource (208 pages)
附註:
Source: Dissertations Abstracts International, Volume: 85-12, Section: B.
Contained By:
Dissertations Abstracts International85-12B.
標題:
Computer engineering. -
電子資源:
click for full text (PQDT)
ISBN:
9798382840697
Neural Inspired Behaviors in Electronics.
Taghavi Nezam Abad, Milad.
Neural Inspired Behaviors in Electronics.
- 1 online resource (208 pages)
Source: Dissertations Abstracts International, Volume: 85-12, Section: B.
Thesis (Ph.D.)--Cornell University, 2024.
Includes bibliographical references
This thesis presents groundbreaking contributions in the fields of intelligent neural interfaces and microscopic machines, specifically focusing on applications in medical implants and autonomous microscopic robots, utilizing CMOS electronic chips.In Chapter 2, an innovative ASIC accelerator is introduced, tailored for the efficient implementation of large decision tree prediction models, highlighting its unparalleled classification efficiency. Furthermore, we propose enhancements to further curtail redundancy during inference, showcasing the potential of CMOS technology to elevate scalability and adaptability in machine learning hardware.In Chapter 3, we present a novel method for achieving autonomous coordinated emergent behaviors in microscopic machines through pulse-coupling CMOS oscillators. A comprehensive analysis covers synchronization quality, scalability, and robustness, complemented by demonstrations of emergent behaviors in Matlab and realistic locomotion simulations in Unity.Chapter 4 concludes the thesis with reflections on the distinctive contributions and the wide horizon of potentials that these advancements unleash across diverse applications, ranging from transformative healthcare solutions to revolutionary advancements in intelligent and autonomous microscopic systems.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024
Mode of access: World Wide Web
ISBN: 9798382840697Subjects--Topical Terms:
569006
Computer engineering.
Subjects--Index Terms:
Intelligent micromachinesIndex Terms--Genre/Form:
554714
Electronic books.
Neural Inspired Behaviors in Electronics.
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Source: Dissertations Abstracts International, Volume: 85-12, Section: B.
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Includes supplementary digital materials.
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Advisor: Apsel, Alyssa.
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Thesis (Ph.D.)--Cornell University, 2024.
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Includes bibliographical references
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This thesis presents groundbreaking contributions in the fields of intelligent neural interfaces and microscopic machines, specifically focusing on applications in medical implants and autonomous microscopic robots, utilizing CMOS electronic chips.In Chapter 2, an innovative ASIC accelerator is introduced, tailored for the efficient implementation of large decision tree prediction models, highlighting its unparalleled classification efficiency. Furthermore, we propose enhancements to further curtail redundancy during inference, showcasing the potential of CMOS technology to elevate scalability and adaptability in machine learning hardware.In Chapter 3, we present a novel method for achieving autonomous coordinated emergent behaviors in microscopic machines through pulse-coupling CMOS oscillators. A comprehensive analysis covers synchronization quality, scalability, and robustness, complemented by demonstrations of emergent behaviors in Matlab and realistic locomotion simulations in Unity.Chapter 4 concludes the thesis with reflections on the distinctive contributions and the wide horizon of potentials that these advancements unleash across diverse applications, ranging from transformative healthcare solutions to revolutionary advancements in intelligent and autonomous microscopic systems.
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Ann Arbor, Mich. :
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ProQuest,
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30993704
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click for full text (PQDT)
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