Analog Supercomputers: From Quantum Atom to Living Body | Rahul Sarpeshkar | TEDxDartmouth

[nandibear]

https://youtu.be/ZycidN_GYo0
Analog Supercomputers: From Quantum Atom to Living Body | Rahul Sarpeshkar | TEDxDartmouth
TEDx Talks
Published on Jun 15, 2018

Brief thoughts by Nandibear: It looks like future (or, in a sense, back to the future (not talking about the movie)) will be collective analog computers. There's also a reference to Alan Turing (think Turing completeness). Digital 1s and 0s are easy, a real brain (analog) is complicated. Alan Turning was working on Biological computing towards the end of his life.

Here's some description provided that was provided with the video:

Rahul Sarpeshkar discusses how analog computation can take us back to the future and help us create powerful supercomputers that shift us from the current digital paradigm to a significantly more powerful analog paradigm used by nature, in quantum physics, chemistry, and biology. We can then apply such supercomputers to solving intractable problems such as 'Bio Googling' medical cures for intractable diseases or for creating revolutionary quantum-inspired and bio-inspired algorithms and architectures that have not been imagined before. Rahul Sarpeshkar is the Thomas E. Kurtz Professor and Professor of Engineering, Microbiology&Immunology, Physics, and Molecular and Systems Biology at Dartmouth. He has worked on analog and bio-inspired circuits and computation for over 25 years to architect many first and best accomplishments in the fields of bioelectronics; synthetic biology; ultra-energy-efficient medical devices; supercomputing integrated-circuit hardware; and analog computers in living cells. He has authored over 135 publications including one that made the cover of NATURE, holds 36 patents, and is the Chair of the Neukom Cluster of Computational Science. Recently, he has invented techniques that utilize classical analog circuits to efficiently emulate and to design novel quantum and quantum-inspired analog computers some of which emulate the best computational paradigms in physics, chemistry, and biology. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx