GEN AI-DRIVEN ELECTRONICS: INNOVATIONS, CHALLENGES AND FUTURE PROSPECTS

GEN AI-DRIVEN ELECTRONICS: INNOVATIONS, CHALLENGES AND FUTURE PROSPECTS

Authors

  • Archana Balkrishna Yadav Independent Researcher, Vadodara, Gujarat, India

Abstract

The capacity of artificial intelligence (AI) to provide innovative and realistic outcomes has led to its rise in popularity. With programmes like ChatGPT1, Dall-E2, and Midjourney3 giving consumers access to Large Language Models (LLMs), generative artificial intelligence, or GenAI, has expanded quickly. On the other hand, a lack of a widely recognised definition for GenAI may cause misconceptions. Generative models are more complex algorithms that can generate high-quality, human-like material. Examples of these models include Variational Autoencoders (VAE) and Generative Adversarial Networks (GANs). Gen-AI is the term used to describe the combination of artificial intelligence (AI) and genetic algorithms in the electronics sector. This has resulted in a number of applications, including electronic circuit optimisation, improved hardware design and evolution, self-learning and adaptation facilitation, improved fault tolerance and self-repair, designing and controlling evolutionary robotics, and optimising co-design of hardware and software, evolutionary manufacturing, and electronic design automation. AI-driven chip design, genetic algorithms in circuit design, hardware optimised for AI, self-repairing circuits, autonomous electronics manufacturing, AI-enhanced Internet of Things devices, neuromorphic computing, and robotic evolution are some of the innovations in Gen-AI electronics. Four major obstacles stand in the way of Gen-AI, though: inaccurate outcomes, prejudice and fairness, infringement on intellectual property, and environmental issues. In the future, Gen AI will be utilised in the electronics industry to optimise the following: adaptive hardware-software co-design, real-time resource management, embedded systems and evolutionary robotics, energy-efficient hardware design, automated circuit design, self-healing electronics, real-time resource management, adaptive hardware-software co-design, and ethical and sustainable electronics design.

Downloads

Published

2023-04-29

How to Cite

Yadav, A. B. . (2023). GEN AI-DRIVEN ELECTRONICS: INNOVATIONS, CHALLENGES AND FUTURE PROSPECTS. International Congress on Models and Methods in Modern Investigations, 113–121. Retrieved from https://conferenceseries.info/index.php/congress/article/view/1609
Loading...