Distinguished Lecturer Talk: What is Neuromorphic Engineering?
What is Neuromorphic Engineering?
This presentation is for anybody interested in neuromorphic engineering. Neuromorphic engineering is an interdisciplinary field of engineering that takes inspiration from biology, physics, mathematics, computer science, and electronic engineering. The goal of Neuromorphic engineering is to mimic biological systems. Neuromorphic engineering comprises two main branches that are tightly connected with one another. Neuromorphic Computing and Neuromorphic Sensors. Neuromorphic computing is a method of computer engineering that inspires the human brain and nervous system to solve complex problems. The term refers to the design of both hardware and software computing elements. The third generation of AI, Spiking Neural Networks, is an example of Bio-Inspired computing systems. Neuromorphic sensors emulate the perceptual power of biological sensors via two critical principles: First, neuromorphic sensors efficiently encode sensory information into timed events. The second way neuromorphic sensors emulate the efficiency of biology is by focusing on encoding change. This talk will provide an overview of neuromorphic engineering, and applications of neuromorphic systems, and it elaborates on the impacts of neuromorphic products on human wellbeing.
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- Date: 07 Jul 2022
- Time: 05:00 PM to 06:00 PM
- All times are (UTC+10:00) Sydney
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Speakers
Dr Ali Mehrabi
What is Neuromorphic Engineering?
This presentation is for anybody interested in neuromorphic engineering. Neuromorphic engineering is an interdisciplinary field of engineering that takes inspiration from biology, physics, mathematics, computer science, and electronic engineering. The goal of Neuromorphic engineering is to mimic biological systems. Neuromorphic engineering comprises two main branches that are tightly connected with one another. Neuromorphic Computing and Neuromorphic Sensors. Neuromorphic computing is a method of computer engineering that inspires the human brain and nervous system to solve complex problems. The term refers to the design of both hardware and software computing elements. The third generation of AI, Spiking Neural Networks, is an example of Bio-Inspired computing systems. Neuromorphic sensors emulate the perceptual power of biological sensors via two critical principles: First, neuromorphic sensors efficiently encode sensory information into timed events. The second way neuromorphic sensors emulate the efficiency of biology is by focusing on encoding change. This talk will provide an overview of neuromorphic engineering, and applications of neuromorphic systems, and it elaborates on the impacts of neuromorphic products on human wellbeing.
Biography:
Dr. Ali Mehrabi is a Research Fellow in neuromorphic hardware in the International Centre for Neuromorphic Systems (ICNS) at Western Sydney University. His research area is on the applications of neuromorphic computing in cybersecurity and neuromorphic vision systems. He received his PhD degree in Computer Science from Macquarie University. He received his Master's and Bachelor's degrees both in Electronic Engineering. Before joining Academia, he worked for Siemens' Automation Industry, Sensors and Industrial Communications Departments for over 8 years.