Application Specific Instrumentation (ASIN): A Bio-inspired Paradigm to Instrumentation by fusing sensors and AI (SensAI)

Amit Kumar Mishra*

*Awdur cyfatebol y gwaith hwn

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddTrafodion Cynhadledd (Nid-Cyfnodolyn fathau)

Crynodeb

Nature has, consistently, been an inspiration for scientists and engineers. In this paper, I present a novel paradigm to instrumentation where we co-develop the sensor and machine learning algorithms to bolster the sensor. This is what happens in most species of animals through generations of coevolution. Such sensor and AI (SensAI) empowered instruments are expected to be inexpensive as well as more efficient (in the applications for which they have been developed). In addition to presenting the modus operandi of this application specific instrumentation (ASIN) paradigm this paper shall also, briefly, discuss some of the successful demonstrations of the ASIN paradigm.

Iaith wreiddiolSaesneg
TeitlDSMLAI '21
Is-deitlProceedings of the International Conference on Data Science, Machine Learning and Artificial Intelligence
GolygyddionDharm Singh Jat, Colin Stanley, Jose Quenum, Nilanjan Dey, Arpit Jain
CyhoeddwrAssociation for Computing Machinery
Tudalennau1-6
Nifer y tudalennau6
ISBN (Electronig)9781450387637
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 13 Ion 2022
Cyhoeddwyd yn allanolIe
Digwyddiad1st International Conference on Data Science, Machine Learning and Artificial Intelligence, DSMLAI 2021 - Virtual, Online, Namibia
Hyd: 09 Awst 202112 Awst 2021

Cyfres gyhoeddiadau

EnwACM International Conference Proceeding Series

Cynhadledd

Cynhadledd1st International Conference on Data Science, Machine Learning and Artificial Intelligence, DSMLAI 2021
Gwlad/TiriogaethNamibia
DinasVirtual, Online
Cyfnod09 Awst 202112 Awst 2021

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