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What is Deep Learning: Deep learning is a subfield of machine learning that focuses on teaching computers to learn and make decisions in a way inspired by the human brain. It uses artificial neural networks

AI and Blockchain Applications in Industrial Robotics
which are computational models composed of interconnected nodes called “neurons.” These neural networks are structured in multiple layers, hence the term “deep” learning.
Published in Chapter:
Intelligent Resource Allocation and Optimization for Industrial Robotics Using AI and Blockchain
Tarun Kumar Vashishth (IIMT University, India), Vikas Sharma (IIMT University, India), Kewal Krishan Sharma (IIMT University, India), Bhupendra Kumar (IIMT University, India), Sachin Chaudhary (IIMT University, India), and Rajneesh Panwar (IIMT University, India)
Copyright: © 2024 |Pages: 29
DOI: 10.4018/979-8-3693-0659-8.ch004
Abstract
This chapter focuses on the application of intelligent resource allocation and optimization techniques for industrial robotics systems using the synergistic integration of artificial intelligence (AI) and blockchain technologies. Efficient resource allocation is crucial for maximizing the performance and productivity of industrial robotics, and AI-based approaches offer the ability to dynamically allocate resources based on real-time data and system requirements. Additionally, blockchain technology provides a decentralized and secure platform for recording and verifying resource allocation transactions, ensuring transparency and trust in the allocation process. The chapter explores various AI algorithms and models that can be employed for resource allocation and optimization in industrial robotics, including machine learning, evolutionary algorithms, and reinforcement learning. Furthermore, the chapter investigates how blockchain technology can enhance resource allocation and optimization by providing a distributed ledger for recording and verifying resource transactions.
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