Big Questions: The Multiverse, Cosmological Neural Networks and “Space Noodles”

Ira Pastor, ideaXme life sciences ambassador and founder of Bioquark interviews Dr Vitaly Vanchurin, PhD, Associate Professor, Theoretical Physics and Cosmology, Swenson College of Science and Engineering, at the University of Minnesota (UMN).

The Multiverse, Cosmological Neural Networks and “Space Noodles”

Dr Vanchurin’s big questions and the tools we need to answer them:

“What is the origin of our Universe? What determines our vacuum and the cosmological constant that is responsible for the observed accelerated expansion of space? What determines the onset of structure formation and the birth of galaxies in our Universe? Our innate curiosity about our beginnings has been, since time immemorial, and still is, at the heart of every human being. This age old question of our origin can now be addressed by applying the scientific method”.

Dr Vitaly Vanchurin PhD Associate Professor Theoretical Physics and Cosmology, Swenson College of Science and Engineering at the University of Minnesota
Vitaly Vanchurin PhD Associate Professor Theoretical Physics and Cosmology, Swenson College of Science and Engineering at the University of Minnesota. Photo credit: Vitaly Vanchurin

Ira Pastor comments:

Today, we have a really exciting thought leader joining us on ideaXme who spends his time thinking about really BIG questions – Questions like: what is the origin of our Universe? What’s behind the cosmological constant (in Albert Einstein’s field equations of general relativity) that is responsible accelerated expansion of space? What determines the onset of structure formation and the birth of galaxies in our Universe? And many other fascinating topics.

Theoretical Physics and Cosmology

Dr. Vitaly Vanchurin, is an Associate Professor, Theoretical Physics and Cosmology, Swenson College of Science and Engineering, at the University of Minnesota (UMN). Dr. Vanchurin has both a Masters, and Ph.D. in Physics, from Tufts Institute of Cosmology, and did his dissertation on the evolution of cosmic strings. Dr Vanchurin currently spends his time focused on a variety of themes including: cosmic inflation, multiverse cosmology, string theory landscapes, multi-dimensional fluids, gravitational waves, light propagation throughout the universe, and other quite esoteric concepts. Most recently Dr. Vanchurin has been in the scientific press quite a bit regarding a fascinating new theory on “cosmological neural networks”.

Dr Vitaly Vanchurin PhD University of Minnesota
Dr Vitaly Vanchurin PhD University of Minnesota teaching. Photo credit: Vitaly Vanchurin.

On this episode Dr. Vanchurin about talks to me about:

– His background – how he developed his interest in science, in theoretical physics, and in cosmology – His current research interests and programs at UMN – A discussion of his most recent research / theories in the area of “cosmological neural networks” and novel ideas surrounding machine learning – His views on the connection of his theories to those in the field of quantum biology (as well as thoughts on consciousness) – His work on multiverse theories and paradoxes – And of course “Space Noodles”

This interview is in American English.

Credits: Ira Pastor interview video, text, and audio.

Ira Pastor, Life Sciences Ambassador
Ira Pastor, ideaXme life sciences ambassador

Follow Ira Pastor on Twitter: @IraSamuelPastor Ira Pastor, ideaXme life sciences ambassador. Visit ideaXme here: www.radioideaxme.com

If you enjoyed this interview you might like our interview with Stephen Furber, ICL Professor of Computer Engineering University of Manchester Super-human like computer.

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One thought on “Big Questions: The Multiverse, Cosmological Neural Networks and “Space Noodles”

  1. Eric G Martinez says:

    I admit this was hard for me to follow accurately as I am not as smart or learned as you, but I have some ideas I consider interesting about consciousness and think you could help me prove them wrong, that is all I ask of you! Your neural networks idea is very good.

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