Neuromorphic Computing: Forging a Link between Artificial Intelligence and Neurological Models
- Authors: Madhvan Bajaj1, Priyanshu Rawat2, Vikrant Sharma3, Satvik Vats4
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View Affiliations Hide Affiliations1 Department of Computer Science and Engineering, Graphic Era Hill University, Dehradun, Uttarakhand, India 2 Department of Computer Science and Engineering, Graphic Era Hill University, Dehradun, Uttarakhand, India 3 Department of Computer Science and Engineering, Graphic Era Hill University, Dehradun, Uttarakhand, India 4 Department of Computer Science and Engineering, Graphic Era Hill University, Dehradun, Uttarakhand, India
- Source: A Practitioner's Approach to Problem-Solving using AI , pp 20-56
- Publication Date: October 2024
- Language: English
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By emulating the design and operation of the human brain, neuromorphic computing promises to close the gap between artificial intelligence and brain-inspired technologies. Researchers create specialized hardware and software to mimic the brain's processing speed, capacity for learning, and energy economy. This chapter examines the drivers, difficulties, and prospective uses of neuromorphic computing, with a focus on robotics, sensory processing, and pattern recognition. The entire potential of brain-inspired systems will be unlocked by ongoing research, revolutionizing the field of AI and paving the way for the creation of cutting-edge, intelligent machines that follow the principles of the brain.
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