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DESCRIPTION:What is Neuromorphic Engineering?\n\nThis presentation is for a
 nybody interested in neuromorphic engineering. Neuromorphic engineering is
  an interdisciplinary field of engineering that takes inspiration from bio
 logy\, physics\, mathematics\, computer science\, and electronic engineeri
 ng. The goal of Neuromorphic engineering is to mimic biological systems. N
 euromorphic engineering comprises two main branches that are tightly conne
 cted with one another. Neuromorphic Computing and Neuromorphic Sensors. Ne
 uromorphic 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-Inspire
 d computing systems. Neuromorphic sensors emulate the perceptual power of 
 biological sensors via two critical principles: First\, neuromorphic senso
 rs efficiently encode sensory information into timed events. The second wa
 y neuromorphic sensors emulate the efficiency of biology is by focusing on
  encoding change. This talk will provide an overview of neuromorphic engin
 eering\, and applications of neuromorphic systems\, and it elaborates on t
 he impacts of neuromorphic products on human wellbeing.\n\nSpeaker(s): Dr 
 Ali Mehrabi\, \n\nVirtual: https://events.vtools.ieee.org/m/318300
LOCATION:Virtual: https://events.vtools.ieee.org/m/318300
ORGANIZER:alireza.jolfaei@mq.edu.au
SEQUENCE:1
SUMMARY:Distinguished Lecturer Talk: What is Neuromorphic Engineering?
URL;VALUE=URI:https://events.vtools.ieee.org/m/318300
X-ALT-DESC:Description: <br /><h1>What is Neuromorphic Engineering?</h1>\n<
 p>This presentation is for anybody interested in neuromorphic engineering.
  Neuromorphic engineering is an interdisciplinary field of engineering tha
 t takes inspiration from biology\, physics\, mathematics\, computer scienc
 e\, and electronic engineering. The goal of Neuromorphic engineering is to
  mimic biological systems. Neuromorphic engineering comprises two main bra
 nches that are tightly connected with one another. Neuromorphic Computing 
 and Neuromorphic Sensors. Neuromorphic computing is a method of computer e
 ngineering that inspires the human brain and nervous system to solve compl
 ex problems.&nbsp\;&nbsp\; The term refers to the design of both hardware 
 and software computing elements. The third generation of AI\, Spiking Neur
 al Networks\, is an example of Bio-Inspired computing systems. Neuromorphi
 c sensors emulate the perceptual power of biological sensors via two criti
 cal principles: First\, neuromorphic sensors efficiently encode sensory in
 formation into timed events. The second way neuromorphic sensors emulate t
 he efficiency of biology is by focusing on encoding change. This talk will
  provide an overview of neuromorphic engineering\, and applications of neu
 romorphic systems\, and it elaborates on the impacts of neuromorphic produ
 cts on human wellbeing.</p>
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