AI-Optimized System-on-Chip (SoC) Development: A New Era for Consumer Electronics

Authors: Darshak Sanghavi, Krisha Wali

DOI: https://doi.org/10.5281/zenodo.14565827

Short DOI: https://doi.org/g8w62r

Country: USA

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Abstract: The integration of artificial intelligence (AI) into System-on-Chip (SoC) development is transforming the consumer electronics industry, marking the dawn of a new era in chip design. AI-optimized SoCs leverage machine learning (ML) and deep learning (DL) techniques to enhance performance, power efficiency, and functionality. This whitepaper delves into how AI is driving the development of advanced SoCs, particularly focusing on AI hardware accelerators, the role of ML models in optimizing SoC architectures, and power consumption reduction. Additionally, it examines the practical applications of AI in embedded processors, emphasizing the competitive advantages for consumer electronics, such as smartphones, wearables, and smart home devices. The paper provides insights into the future of SoC design, the challenges posed by AI integration, and the emerging trends that promise to reshape the semiconductor landscape.

Keywords: AI-Driven Soc Design, AI Hardware Accelerators, Machine Learning Models, Soc Optimization, Power Consumption Reduction, Embedded Processors, Deep Learning Algorithms, Consumer Electronics, Semiconductor Engineering, Performance Enhancement

Paper Id: 231923

Published On: 2024-09-04

Published In: Volume 12, Issue 5, September-October 2024

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