Microcontrollers Suitable for Artificial Intelligence

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Microcontrollers Suitable for Artificial Intelligence

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Microcontrollers Suitable for Artificial Intelligence

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/EF16_017%2F0002334" target="_blank" >EF16_017/0002334: Výzkumná infrastruktura pro mladé vědce</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

26th International Conference Economic Competitiveness and Sustainability: Proceedings

ISBN

978-80-7509-990-7

ISSN

—

e-ISSN

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Počet stran výsledku

7

Strana od-do

120-126

Název nakladatele

Mendelova univerzita v Brně

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

21. 3. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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