S02 EP03: Simeon Bamford | Neuromorphic Engineering, Moore's Law & Computers of The Future
The Futurisity Podcast03/20/23 • 67 min
Simeon Bamford is a researcher at the Italian Institute of Technology (ITT), Freelance Consultant in Neuromorphic Engineering & passionate AI & ML enthusiast.
He is one of the most brilliant & kind researchers I've talked to so far. In his life, he worked from wet biology through prosthetic systems and neuromorphic sensors and processors to computational neuroscience and machine learning.
This episode was mainly about neuromorphic engineering or in other words - a growing computer engineering approach that models and develops computing devices inspired by the human brain.
We've talked about traditional & neuromorphic computers, Moore's Law, Universe, Life, Intelligence, Computing, AI & beyond...
Don't know what neuromorphic engineering is & how to beat Moore's Law?
Tune in 🎧
⭕ Outline:
(0:00) | Introduction
(5:29) | What makes you get up every day in the morning?
(8:30) | Are we alone in the universe?
(12:40) | Traditional vs. Neuromorphic computers
(26:06) | Neuromorphic processors. What is it all about?!
(35:00) | Moore's Law. Can neuromorphic processors provide a way around it?
(44:08) | Will neuromorphic computers become the "computers of the future"?
(48:42) | In which areas do we need more breakthroughs?
(50:50) | Skills required to work in neuromorphic engineering?
(54:13) | Best piece of advice for all the curious listeners
(55:22) | Blitz
⭕ Simeon Bamford:
LinkedIn: https://www.linkedin.com/in/simbamford
Website: https://sim.me.uk/
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03/20/23 • 67 min
The Futurisity Podcast - S02 EP03: Simeon Bamford | Neuromorphic Engineering, Moore's Law & Computers of The Future
Transcript
Futurisity Podcast, S02 EP03: Simeon Bamford: Neuromorphic Engineering, Moore's
Law & Computers of The Future
Vlad:
Welcome to the Futurity podcast. This is episode 3 with Simeon Bamford, a freelance
consultant in neuromorphic engineering, a researcher at the Italian Institute of Technology, and a passionate enthusiast in the world of deep learning, machine learning, and robotics. This is probably one of the most complex and exciting episodes I
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