Concept and Challenges in Microcontroller Artificial Intelligence Development

There is a significant lag between the year a great idea is first proposed and the year it is eventually adopted and mainstreamed. The foundations of the Internet of Things (IoT) were introduced between 1960 and 1980, the concept was introduced in 1990, and its growth and expansion came after 2000. Proliferation and discussions on standardization were proposed after another 10 years. IoT evolution and development are tightly coupled to cloud-fog-edge architectures with the assumption that a significant amount of advanced processing occurs not on IoT devices but on clouds and fog. However, as the technology evolved, the required amount of data and connections indicated that previous ideas and concepts were not realistic and that data processing at the edge layer was required.

Authors

Institutions

Publication Details

Published
2024-10-16
DOI
https://doi.org/10.1109/siitme63973.2024.10814823
Primary Topic
Advanced Sensor and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Concept and Challenges in Microcontroller Artificial Intelligence Development

Mihai Daraban, Gabriel Chindriș, Cosmina Corches, Alexandru Ilieș
Advanced Sensor and Control Systems
article

Concept and Challenges in Microcontroller Artificial Intelligence Development

Mihai Daraban, Gabriel Chindriș, Cosmina Corches, Alexandru Ilieș
article en

Abstract

There is a significant lag between the year a great idea is first proposed and the year it is eventually adopted and mainstreamed. The foundations of the Internet of Things (IoT) were introduced between 1960 and 1980, the concept was introduced in 1990, and its growth and expansion came after 2000. Proliferation and discussions on standardization were proposed after another 10 years. IoT evolution and development are tightly coupled to cloud-fog-edge architectures with the assumption that a significant amount of advanced processing occurs not on IoT devices but on clouds and fog. However, as the technology evolved, the required amount of data and connections indicated that previous ideas and concepts were not realistic and that data processing at the edge layer was required.

Technical University of Cluj-Napoca (RO)
Openalex Percentile: Top 70%
Advanced Sensor and Control Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Concept and Challenges in Microcontroller Artificial Intelligence Development — Mihai Daraban, Gabriel Chindriș, et al. · (2024) | TGRS Research Map | TGRS