Microcontrollers Suitable for Artificial Intelligence
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F24%3A43925843" target="_blank" >RIV/62156489:43110/24:43925843 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.11118/978-80-7509-990-7-0120" target="_blank" >https://doi.org/10.11118/978-80-7509-990-7-0120</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.11118/978-80-7509-990-7-0120" target="_blank" >10.11118/978-80-7509-990-7-0120</a>
Alternative languages
Result language
angličtina
Original language name
Microcontrollers Suitable for Artificial Intelligence
Original language description
Artificial intelligence (AI) has become increasingly prevalent in various applications, from self-driving cars to facial recognition. However, the implementation of AI on resource-constrained devices such as microcontrollers has been a challenge due to the limited computational power and memory. In recent years, advances in AI technology and the development of specialized hardware have enabled the realization of AI on microcontrollers. This opens new opportunities for AI applications in domains such as embedded systems, the Internet of Things (IoT), and wearable devices. This article provides an overview of microcontrollers suitable for AI, discusses their benefits and challenges, presents a methodology for selecting suitable microcontrollers for AI applications, and highlights the criteria essential for effective implementation. Additionally, initial results from applying this methodology, including a comparative analysis of various microcontrollers, are discussed. Key findings emphasize the potential of specific microcontrollers like ARM Cortex-M7, Arm Ethos-U55, STMicroelectronics STM32F429, and Espressif ESP32-S3/C3 in AI applications. Future directions for the evolution of AI-enabled microcontrollers are also explored.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EF16_017%2F0002334" target="_blank" >EF16_017/0002334: Research Infrastructure for Young Scientists</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
26th International Conference Economic Competitiveness and Sustainability: Proceedings
ISBN
978-80-7509-990-7
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
120-126
Publisher name
Mendelova univerzita v Brně
Place of publication
Brno
Event location
Brno
Event date
Mar 21, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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