Emerging Applications of FinFET's in Artificial Intelligence and Machine Learning Hardwares

FinFET technology, a groundbreaking leap in semiconductor design, has substantially affected the buildup of hardware for the use of artificial intelligence (AI) and machine learning (ML) applications. This study investigates the developing uses of FinFETs in AI and ML hardware, explaining their high-quality fulfillment, power efficiency, and scalability. As AI and ML algorithms demand greater computing capacity, FinFETs offer a solid answer by raising processing speed and accuracy as they lowering power consumption. This study explores numerous applications among them neuromorphic computer technology, edge AI devices, and computing performance for ML training. It also includes FinFET-based methodology case studies, demonstrating their distinct benefits over antiquated technology. Although FinFETs may have manufacturing issues and constraints, they will advance technology for ML and AI. This study emphasizes FinFET technology's crucial role in satisfying AI and ML demands, enabling further along efficient and effective hardware solutions.

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Publication Details

Published
2024-09-19
DOI
https://doi.org/10.1109/iicccs61609.2024.10763797
Citations
5
Primary Topic
Advancements in Semiconductor Devices and Circuit Design
Type
article
Field-Weighted Citation Impact
1.04
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article

Emerging Applications of FinFET's in Artificial Intelligence and Machine Learning Hardwares

B. Kiranmai, Jami Venkata Suman, V. Lavanya
5 citations
Advancements in Semiconductor Devices and Circuit Design
1.04
article

Emerging Applications of FinFET's in Artificial Intelligence and Machine Learning Hardwares

B. Kiranmai, Jami Venkata Suman, V. Lavanya
article en
5 citations

Abstract

FinFET technology, a groundbreaking leap in semiconductor design, has substantially affected the buildup of hardware for the use of artificial intelligence (AI) and machine learning (ML) applications. This study investigates the developing uses of FinFETs in AI and ML hardware, explaining their high-quality fulfillment, power efficiency, and scalability. As AI and ML algorithms demand greater computing capacity, FinFETs offer a solid answer by raising processing speed and accuracy as they lowering power consumption. This study explores numerous applications among them neuromorphic computer technology, edge AI devices, and computing performance for ML training. It also includes FinFET-based methodology case studies, demonstrating their distinct benefits over antiquated technology. Although FinFETs may have manufacturing issues and constraints, they will advance technology for ML and AI. This study emphasizes FinFET technology's crucial role in satisfying AI and ML demands, enabling further along efficient and effective hardware solutions.

Maharaj Vijayaram Gajapathi Raj College of Engineering (IN)
Openalex Percentile: Top 22%
Advancements in Semiconductor Devices and Circuit Design
1.04
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Emerging Applications of FinFET's in Artificial Intelligence and Machine Learning Hardwares — B. Kiranmai, Jami Venkata Suman, et al. · (2024) | TGRS Research Map | TGRS