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The Roger Penrose Institute for the Study of Creativity, Consciousness and Cosmology
EFTA00606986
Contents
Introduction to the Institute
Sir Roger Penrose
The Three Areas of Research
1. Human and Artificial Intelligence
Quantum Biology Laboratory
III. New Physics & The Origin of Our Universe
Mathematical Play
Aging and Cognitive Longevity
The Institute Plan
Collaboration Methodology
Structure and Funding of the Institute
Visioning 5 years in the future - what did we discover?
Why San Diego
FAQ
Appendices
The Penrose Institute 2016-17
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Introduction to the Institute
We are entering a new scientific era where the unification of quantum mechanics and
general relativity will create new physics and new devices. 30 years ago Roger
Penrose wrote a seminal book — The Emperors New Mind. Unification, he said, would
require modification to quantum mechanics and that modification would explain
human consciousness. Scientists met his proposal with scepticism. Quantum
phenomena were only known in laboratories near absolute zero. But, recent
breakthroughs show quantum phenomena are important in biology at room
temperature. Photosynthesis gets its efficiency from coherent transport of energy,
and some birds have a quantum compass located in their eyes. We believe studying
unification will throw light on the fundamental laws of physics and generate
technology in the fields of AI, human disease and aging, along with developing new
types of incredibly sensitive sensors to probe the universe and our planet.
Quantum Biology
®The Penrose Institute 2016-17
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Human Intelligence
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New Physics
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Sir Roger Penrose OM FRS
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ROGER PENROSE
Sir Roger Penrose, Emeritus Professor at the Mathematical
Institute of the University of Oxford, Emeritus Fellow at
Wadham College, and winner of the Wolf Prize in Physics
has made profound contributions across a broad range of
scientific disciplines. His work encompasses geometry,
black hole singularities, the unification of quantum
mechanics and gravity, the structure of space-lime, and
the origin of our Universe. His geometric creations
inspired the works of Esther, and the Penrose steps have
been featured in several movies. His filings adorn many
public buildings, including the Oxford Mathematics
Institute (pictured), and will soon decorate the San
Francisco BART system. The five fold symmetry, initially
thought impossible or a mathematical curiosity, has now
been found in nature. In 1989 Penrose wrote The Emperor's
New
Mind which challenged the premise that
consciousness is computation and proposes we need new
physics to understand it.
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The Penrose Institute 2016-17
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Areas of Research
I.
Intelligence (Human and Artificial)
Human intelligence appears to be very different from today's artificial intelligence. But, artificial
intelligence is getting stronger by the day. Is there something human beings can do that an
artificial intelligence cannot do? This is both a fundamental question in mathematics and a
question with enormous social implications as we decide what people should learn in the next
few decades, and how we should best work with artificial intelligence in the future.
II.
Quantum Biology Laboratory
It used to be thought quantum mechanics played no part in biology and was confined to
experiments near absolute zero in physics laboratories. A revolution is taking place. We now
understand quantum mechanics is important in modelling chemical processes in the body, such
as, protein folding in the presence of water. More excitingly, we have seen the first indications of
exotic quantum effects. Photosynthesis gains its efficiency from quantum coupling and some
birds appear to use a quantum compasses located in their eyes. How important are quantum
effects in the body and, do we need new physics to explain the working of the brain?
III. New Physics and the Origins of our Universe
We will investigate the interplay of quantum physics, general relativity and information theory.
Roger Penrose's work on Quantum gravity (twistor theory) and conformal cyclic cosmology
along with non-causal computing already open new theoretical approaches. We will explore the
possibility of incorporating recent developments in quantum information, quantum biology and
quantum thermodynamics to build a bridge between the physics of the brain and consciousness.
Theories will be tested in quantum systems such as Bose-Einstein Condensates (BECs). New
physics might not only help us understand human consciousness, but also provide a deeper
understanding of the origin of the Universe itself.
®The Penrose Institute 2016-17
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Institute Concept Map
(Neuronal Computation)
(Photon Entanglement) (Photon Echo)
(Computational)
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Scientific Philosophy
The institute will follow the scientific philosophy of Roger Penrose across a broad
range of interrelated scientific domains. This philosophy is born of a passion to
uncover paradoxes in our current understanding of physics and propose new ideas
that can be experimentally tested. Such tests may, of cause, result in the disproof of
the ideas, even his own! Our principles:
• Uncover paradoxes and failings in our current physics theorems.
• Consider both the physical world and the minds which observe it.
• Be creative, novel and challenge the status quo.
• Follow a rigorous and detailed scientific method with falsifiable experiments.
• Be unfashionable, brave and controversial without being discourteous.
• If a principle needs to be changed, explain why and change it!
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I.
Human & Artificial
Intelligence
s
`7 never made one of my discoveries
through the process of rational
thinking"— Albert Einstein
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The Intelligence Question
At the heart of the artificial intelligence debate is a
fundamental disagreement between two theories of the
human mind. Proponents of strong AI argue the human
brain is a computer. As computers become ever more
powerful, following Moore's law, they will eventually
eclipse human intelligence, perhaps even this century. On
the other hand, many scientists and philosophers believe the
human brain is not a computer. Explaining why is hard. The
human mind appears to be the only structure that uses
conscious action to create new things. Such creativity might
surpass the capability of a Turing Machine and this is the
belief of Roger Penrose. However, Al technologists are
making progress in building computers that appear to
display creative intelligence. This is a live debate.
Our Goal: To examine creative thinking through practical
experimentation and theoretical work so that we might
understand how the brain achieves its power, improve that
power and better inform our ability to work with AIs in the
future.
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Impact of AI on Society
Over the next few decades AI will profoundly change the nature of human
work. What should humans do with our apparently unique gift of creative
intelligence. Is this gift truly unique?
1e.) The Penrose Institute 21/16-17
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Finding Creativity in the Brain
We will identify people with exceptional abilities at solving non-computable puzzles,
image and record their fMRI, MEG and EEG activity during the process. We hope to
identify brain regions and EEG frequencies and patterns associated with non-
computability. These patterns will then be used as feedback to enhance and train non-
computable creative processes.
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Recruit people who can solve non-
computable puzzles in a similar
fashion to the way code breakers
were recruited in World War II.
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Offer them a
combination of
computable and non•
computable puzzles
to work on.
Image the brains using
MEG, EEG, fMRI and
others technologies to
see which areas of the
brain are involved.
e The Penrose Institute 2016-17
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Insights, Outcomes, Spin-outs
Theoretical
• Locate the boundaries between computable intelligence and creative intelligence.
• Research how human brains might be creative when this would normally be a non-
computable operation — computational 'tricks' or non-computable operation.
• Demonstrate how non-computable / non-causal models of computation might go
beyond current Turing architectures.
• Research fundamental questions of mathematics such as determinism.
• Determine whether non-Turing computable proofs have Godel incompleteness.
• Develop new objective forms of Turing Tests.
Experimental
• Locate the 'seat' (or process or pattern) of creativity within the brain.
• Create better interfaces between human intelligence (HI) and artificial intelligence.
• Develop extended computational models such as non-causal computing.
• Investigate the inheritance of creativity
Spinout / Partnerships
• New forms of efficient computational systems.
• Artificial/human intelligence collaboration systems.
• Training and improving creativity
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(0 The Penrose Institute 2016-17
II.
Quantum Biology
Laboratory
"And you are made of a hundred
trillion cells. We are, each of us, a
multitude."— Carl Sagan, Cosmos
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The Quantum Neuron?..
Current studies focus on the connectome — the map of
connections between the neurons. Sophisticated maps are
being built by governments, including the US BRAIN
Initiative and the EU Human Brain Project (HBP), along
with private institutes such as The Allen Brain Institute. The
EU project aims to simulate the brain by running a model of
the connectome on super-computers. However, problems
arise as a pure connectome model does not appear to
capture sufficient information to model the seemingly
simple neural networks such as the the C. elegans nematode
worm. Recent discoveries suggest quantum effects might be
significant in brain tissue.
Our goal: To probe and model the sub-neuronal structure of
the human brain and determine whether, and in what
manner, small scale and quantum effects are significant to
its operation. Understanding how quantum effects might be
a factor in neurons would add beneficially to human
knowledge and help in all manner of practical problems,
from improving human cognition to curing brain diseases
such as Alzheimer's and lead to new forms of computing
machine.
Van Wedeen,
NIartinos Center and Dept.
of Radiology, Massachusetts General Hospital
and Harvard University Medical School
k.,
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Quantum Brain Tissue Experiments
Quantum
Quantum
Quantum
Modelling
Travis Craddock
et. at Nova
Quantum
Imaging
Resonance & Transmission
Entanglement
Anirban Bandyopadhyay group Sahu et al, 201.2a; 20136; 2014
®The Penrose Institute 2016-17
Photon Entanglement Through
Brain Tissue
Lingyan Shil,2,2 , Enrique J.
Galvez4 & Robert R. Alfanol
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Un-Consciousness in Vitro
In the last year it has become possible to test living tissue
at the nano scale so that we can uncover quantum effects.
It is our intention to apply these technologies to attempt
to understand consciousness.
• Our main probes for consciousness are anesthetics.
We can anesthetize a human subject and they will
appear to go unconscious and report that they did so
once reawakened. There are two main gaps in our
understanding. We do not understand how
anesthetics work and we don't have an objective
measure for unconsciousness, let alone consciousness'
• Anesthetic effectiveness correlates with solubility of
the compound or gas in olive oil, suggesting polar
effects are significant. It is unknown where the
anesthetics act to give their effect.
• Our experimentation will involve anesthetizing brain
tissue and looking for key quantum effects such as
bulk conductivity, resonance and preservation of
quantum information.
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Nano-Brain-Technology
Our approach is made possible due to recent improvements in nanotechnology and
modelling which we intent to further enhance.
• Tri-axial 0.5nm probe tips (patch damps) are now available.
• Relatively unbreakable
• Repeatable probing
• True ion channel resolution
• Broad frequency range
• High speed optical cameras
• High speed images can be taken across a broad visible spectrum.
• Neuron Culturing for Human, Neanderthal and Animal models
• A range of different neurons can be generated from stem cells
• DNA segments can be spliced into neurons to vary their genetic makeup
• Culture can be kept alive for several months allowing training and characterization
• High fidelity molecular modelling
• Proteins can now be computationally modelled with an accurate depiction of water
• Quantum computing is beginning to become available to perform the modelling
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Locating Neuronal 'Creativity'
We are able to culture a range of neurons with features from different species, including
Neanderthals — man's closest relative. In their several hundred thousand year
existence they did not develop language or tool use. It is suggested this failure
occurred because they devoted larger portions of their brain to motor control. However,
it might be better explained through difference in the fundamental working of their
neurons. This might allow us to locate the fundamental neuronal structures which
explain homosapien creativity and language.
Human
Neanderthal
,g)The Penrose Institute 2016-17
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Quantum Measurement (Orch-OR)
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of some
neurons
We can build highly sensitive quantum
systems to keep photons in superposition
and detect their spontaneous decay. We
can probe neurons presented with
superposition and determine how they
respond at the point of measurement. We
can also test inert quantum-gravity
measuring devices with similar schemes.
This tests a number of quantum
interpretations including Orch-OR.
t) The Penrose Institute 2016-17
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Solving the Halting Problem
with Biological Neurons
Computation with Neurons
• Human neurons are the most efficient and effective computational elements known. They
are the fundamental basis of consciousness and creativity. Can we build a computer out of
them? Even better, can we build a system based on human neurons to carry out non-
computable operations?
• The fundamental non-computable operation is Turing's "Halting Problem"
(Entscheidungsproblem). In problems of non-computable complexity, a machine might
never halt: this is the unexplored capacity of the human brain.
• Can we build a network of living human neurons that can be programmed? Can we
program that network to attempt a non-computable problem? What will that network do?
• Our contention is that we can build the network, program it and introduce a non-
computable problem. Our greater contention is that programming the Halting Problem
will NOT result in an infinite loop. The neuronal network will detect the infinity and stop
action.
• The programmable neural network will have a proto-consciousness and the elements
necessary for non-computable operations.
• These networks will be the basis for synthetic neuronal structures of a type never seen
before and a model for study of drugs, stimulation control and other research and
interventions for medicine.
®The Penrose Institute 2016-17
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Aging and Cognitive Longevity
Research into neurons has several applications to aging.
Neurons are one of the few cells in the body that do not age. For the most part the
cells we are born with are cells we die with. Unlike many body cells which are
simply recycled these cells have developed robust methods for repairing themselves.
Understanding these mechanisms may yield valuable insight into the aging process.
Unfortunately, the repair mechanisms which can keep cells working into our late
nineties are subject to degradation and disease. San Diego has two leading Dementia
Research centers for Alzheimer's. It is now thought that a major factor in these
diseases is the break down in the cytoskeletal structures inside the neurons, the self
same structures that Roger Penrose and Stuart Hameroff believe provide us with
creativity, understanding and ultimately consciousness.
On top of the sub-cellular repair mechanisms, our brains seem to repair themselves,
or at least, protect their function if we exercise them. Brain training software appears
to help brains function better and we would like to understand whether exercising
the brain with non-computable / creative tasks is more beneficial than rote type
learning tasks.
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Insights, Outcomes, Spinout
Theoretical
• Molecular modelling of neurons and the study of how anesthetic gases interrupt
their operation.
• Construction of a programmable computer synthesized from living neurons will
provide insight into the operation of the human brain.
Experimental
• Develop safer anesthetic gases through testing and certification in the models
• Find the key physical elements of a new quantum gravity computing technology
• Use living networks of human neurons to serve as a means of screening
medications for toxicity and their effectiveness in modifying neuronal actions.
• Study pathologies of neurons: accumulation of proteins in Alzheimer's Disease,
Parkinson's Disease or damage from low-oxygen, such as hypoxia in strokes.
• Investigate non-invasive brain stimulation methods via the eye or transcranially.
Spinout / Partnership
• Better enhance creativity and defend against dementia.
• Pharmaceutical screening capability with the neuronal network model.
• Contributions to computational science, including management of non-
computability and new computing architectures, will be seen with the living
neuron computers.
®The Penrose Institute 2016-17
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Quantum Consciousness
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(Learning and Testing)
(Quantum Gravity)
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Brains
(Transport
(Conectome)
Improvement)
(Protein Synthesis)
(synapses)
(Proteins)
water
g3 The Penrose Institute 2016-17
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O The Penrose Institute 2016-17
III
New Physics
and The Origin of Our Universe
0
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greater than man's, she's never going to let us
relax"— Richard Feynman
24
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Research at the interface of quantum theory
and general relativity
Quantum simulations
Quantum
Theory
Quantum biology
Quantum
gravity
444.
Quantum information
7.
Quantum metrology
and sensors
Quantum thermodynamics
Quantum gravity
Sensors
e the Penrose Institute 2016-17
Cosmology
General
Relativity
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Physics at the overlap of quantum
information and relativity
Research at the overlap of quantum physics
and information theory has given rise to the
field
of
quantum
information
and
its
applications included quantum computation,
cryptography and communication. This has
lead to a deeper understanding of the role of
information in the physical world and to a new
technological era. However, the world is not
only quantum but also relativistic. Only
recently, the use of relativity in quantum
technologies has been considered and it has
been shown that quantum systems can be used
to measure gravitational effects. It is very
likely that this body of work will play a role in
our understanding of the physics of the brain.
Penrose's work has already hinted at the key
role that gravity might play in quantum physics
and therefore, in our understanding of nature
from neurons to cosmology.
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Quantum Gravity Sensors
• Quantum systems, such as BECs, can be used to test the effects of gravity on the collapse of the wavefunction.
• BECs can also be used to measure gravitational effects such as gravitational waves, space-time parameters and
perhaps dark energy and dark matter.
• Applications: quantum sensors, clocks and gravimeters compatible with notions in general relativity.
The Penrose Institute 2016-17
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Desktop Gravitational Wave Detector
We are rapidly moving from a situation where Quantum Gravity effects are the realm of big-
science, CERN, LIGO et. al. to a state where sensitive, innovative laboratory experiments can
discover interactions and throw light on different QG theories.
• Quantum experiments are reaching relativistic regimes in space-based settings, fast moving
boundary conditions and their interactions with quantum fields and in extremely precise
measurement technologies and clocks. However, our understanding of physics at these regimes is
very limited.
• Cutting edge experiments promise to deepen our understanding of quantum physics at the
regimes where relativity can no longer be neglected also serving as testing grounds for Penrose's
theories.
Quantum state transmission across
thousands of km using satellites. At this
regimes relativity kicks in.
(Zeilinger. Villoresi. Marquardt. et. al.)
Time dilation measured by quantum
clocks separated by a few cm. Such
clocks keep time to within 1 second
in about 3.7 billion years.
(Wineland)
Quantum fields interacting with
boundaries moving at a third of the
speed of light. (Delsing. Wilson)
The Penrose Institute 2016-17
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Quantum-Gravitational Telescope
BECs, Bose-Einstein Condensate
r sensors, the size of a silicon chip and
highly sensitive to gravitational
geometry and waves.
r•
ook Down with a BEC sensor
Image the Earths gravitational fiel
• Use many to resolve feat
Detect gravitational anoma
• Oil reserves
• Map Earth's mantle
• Fault lines
• Fault movement
• Ocean floor movement
• Volcanic uplift
with a BEC sensor
mage the sky with gravity
See before the Universe
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•
Make a gravity map of sp e
optically transparent 3
years old.
-
• See gravitational events
• Neuron star Mergers
• Black hole mergers
K, The Penrose Institute 2016-17
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Deep Space Gravitational Image
What might we see in the gravitational 'spectrum'
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Cosmology
In 2000, Nature asked 10 prominent physicists for their view of a
`Theory of Everything'. Among them, only Roger Penrose
included a role for consciousness in the universe.
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• Unification of QG
• Twistor Theory
• Conformal Cyclic Cosmology
• Dark Matter and Energy
• Background Independent Quantum
Mechanics
• Non-causal Physics & Computing
• Computational Universe
• Conservation of Information
• Testing OR collapse by E=hlt
• Arrows of time
• Low Entropy Origin
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Origin
Questions
fork
Ages
Development
of
Galaxies,
Planets,
etc.
1st Stars
about
400 million
yrs.
Big Bang
Expansion
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13.7 billion
years
Non-Computability, Entropy, Arrow of Time
Cyclic
Future?
Measurement decision criterion. Why is one measurement outcome
favored over another? Or, if you believe in the many worlds
interpretation, why do we find ourselves in one Universe branch rather
than another?
Maximize Kolmogorov Complexity - Understanding criterion
Maximize platonic beauty - Elegance criterion
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Insights, Outcomes, Spinout
Theoretical
• Make progress on unification quantum gravity and general relativity
• Develop insight into the implications of non-computability on the evolution of our
Universe and the arrow or time.
• Understand how the brain might utilize quantum gravity effects.
Experimental
• Build a quantum gravity interferometer using a Bose-Einstein condensate.
• Investigate patterns in the cosmic microwave background radiation.
Spinout / Partnerships
• If it can be demonstrated that quantum gravity is implicated in consciousness then
new forms of quantum gravity computers should exist and it would be possible to
build one.
• Bose-Einstein condensate sensors would be the most sensitive sensor know to
man. The last time we developed a new sensor of this sort - the superconducting
quantum interferometer — it has application in a broad range of fields.
®The Penrose Institute 2016-17
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Mathematical Play
"We have a closed circle of consistency here: the laws of
physics produce complex systems, and these complex
systems lead to consciousness, which then produces
mathematics, which can then encode in a succinct and
inspiring way the very underlying laws of physics that
gave rise to it. — Roger Penrose (The Road to Reality:
A Complete Guide to the Laws of the Universe)
Penrose Tiles at the
Mathematics Institute, Oxford
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Inspirational Mathematics
Illusions
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AI / HI Puzzles
Art Inspiration
®The Penrose Institute 2016-17
Infographics
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A New Turing Crossword Puzzle
If you can solve this puzzle in under six minutes, science needs you!
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®The Penrose Institute 2016-17
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The P.rase In.tute N1,17
Institute Plan
EFTA00607022
Team
James Tagg
Sir Roger Penrose OM FRS
Erik Viirre
Stuart Hameroff,
New Physics
Corporate Affairs
®The Penrose Institute 2016-17
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Vision
To understand the human mind and its place in the cosmos
inspired by the scientific philosophy of Roger Penrose and to
use this understanding to the benefit of all.
IZI, The Penrose Institute 2016-17
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Our Collaborative Approach
The World Wide Web was developed as a way to bring researchers together working on
large-scale complex problems at CERN. We believe new technologies such as virtual reality
and collaborative communications tools can usher in new and more efficient ways of
bringing researchers together. It will be an objective of the Institute to experiment with these
technologies and innovate in the realm of collaboration. This will involve us building
physical and virtual collaboration spaces at our cooperating research institutions.
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Institute Structure & Funding
We are seeking funding to scale an institute in a series of 5 phases:-
• A feasibility study grant of $800,000
• The commitment of a founding grant of $100m of which
• The first initial $10m as a planning/
grant to build core team, infrastructure and put a
detailed technical roadmap in place
• Application for government grants and broader funding
• Follow on funding from the primary grant giver and others to secure the institute long
term
The Institute will be a non-profit entity in the USA and a registered charity in the United
Kingdom along with associated enterprises and future spin outs.
Two associated enterprises are identified at present. One is to develop artificial intelligence-
human intelligence collaboration technology and the other a consciousness probe and
improved anesthesia.
Separate presentations explains these.
e The Penrose Institute 2016-17
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EFTA00607026
5 Years On
In 5 years time what would you hope the institute has achieved?
• Developed a unique collaboration structure that breaks down the normal definition of an
institute.
• Developed a good computational understanding of creativity and boundary between
human intelligence and artificial intelligence if, of course, such a boundary truly exists. An
open question at this time.
• Have a good road map for a computational model of a human neuron with potentially
quantum speedup from the newly developing field of quantum computing.
• Made progress in implementing this roadmap
• The ability to probe real neurons in vitro and inform the computational model while
allowing real world testing.
What might go 'wrong'?
• Exotic quantum effects may not be significant to consciousness and it might simply be a
classical phenomenon. However, quantum modelling WILL be important for neurons and
most of the work we do will be very relevant to the practical operation of the human
brain, creativity and disease processes.
®The Penrose Institute 2016-17
02
EFTA00607027
Why San Diego?
Physics, Medicine, Math, Nanotechnology, Super Computing, Protein Modelling in one place
California Stem Cell Institute
Human Longevity Inc.
Craig Venter Institute
Scripps
Qualcomm Institute
Salk
Arthur C Clark Center
UCSD
Math, Physics - Non Computability
Neuroscience (#1, ESV)
Cognitive Science (#1, ESV)
Engineering
Neurolmaging (#1)
NeuroEngineering (#1, ESV)
Bioengineering (#1 ESV)
Near Google AI and QM, Biotech et. al.
#1, indicates world Nol in world ranking
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The Penrose Institute 2016-17
EFTA00607028
Sample Institutes in the Field
Name
/Location
San Diego
Arthur C. Clarke Center for Human Imagination - University of ...
Brain and Creativity Institute (BCD is a research unit of the College of
Los Angeles
Letters, Arts and Sciences at the University of Southern California
Institute for Advanced Study
Princeton
J. Craig Venter Institute
San Diego
Kavli Institute for Brain and Mind at University of California, San Diego
San Diego
Perimeter Institute
Canada
Salk Institute for Biological Studies
San Diego
San Diego Biomedical Research Institute: Home
San Diego
The Alan Turing Institute: Home
UK
The Scripps Research Institute
San Diego
Kavli Institute for Fundamental Neuroscience (Kavli IFN)
San Francisco
®The Penrose Institute 2016-17
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FAQ
• Q: Why is there a need for a new Institute and how are you different?
• The Penrose Institute tackles a range of topics from an innovative viewpoint, using
newly available quantum technologies. It has a unique perspective on the operation of
the human brain and its creative capabilities, and seeks a cross functional integrated
approach to understanding this.
• Q: Isn't the Allen Institute (or others) doing this already?
• Other Institutes accept a complex model for neuronal firing and that diseases targets
the interior working of neurons, but do not ascribe the level of importance to sub-
neuronal structure in the brain, particularly its role in computation. Therefore the
work we do is unique. As a corollary it is also controversial with some scientists.
BD The Penrose Institute 2016-17
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EFTA00607030
FAQ
Q: Why is an entrepreneur founding this Institute rather than a neurologist with a PhD?
The Institute is being founded jointly by an entrepreneur and a neurologist with a PhD. Putting
people with different backgrounds together is a principle of The Institute.
Q: Hasn't the Godel proposal put forward by Roger Penrose been discredited?
No, the proposal is hard to prove. It requires us to know what rules are present in the human
brain and show they have been extended. The Institute depends far more on the work of Alan
Turing which came later than Godel, and is a more powerful proof. (Godel's theorem can be
derived from Turing's Halting proof but not vice versa)
Q: What happens to the Institute if quantum effects in the brain are disproved?
All chemistry is quantum, so our brains are definitely quantum mechanical structures. The
debate is whether 'strange' quantum effects, such as entanglement and non- locality, are in play.
Our work on modelling uses quantum principles and will at least allow a better model of the
workings of neurons. At best we may prove that some 'strange' quantum behaviors are involved
in the brain leading to consciousness. The outcome of the research will contribute to the fields of
quantum gravity, cosmology and relativistic quantum information. New insights in the overlap
of quantum theory and relativity will enable the development of new technologies.
®The Penrose Institute 2016-17
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EFTA00607031
FAQ
• Q: Is The Penrose Institute raising money for a physical building?
• Not at this time. We are experimenting with virtual buildings and collaboration
spaces, and once this program is well developed we would consider a custom built
space or spaces.
• Q: Do researchers need to work on Orch OR, Twister theory and non-computability to
work at The Penrose Institute?
• No, The Penrose Institute is inspired by the interests and approach of Sir Roger
Penrose across a range of scientific areas concerning the brain, quantum gravity and
cosmology. If you have a truly valid, creative and innovative approach to tackling
these problems we welcome your involvement. We do believe there is something
special to discover about the working of the human brain and we suspect this has
implications on our understanding of quantum mechanics.
BD The Penrose Institute 2016-17
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END
The Penrose Institute 2016-17
EFTA00607033
Appendices
O The Penrose Institute 2016-17
EFTA00607034
The P.rase In.tute N1,17
Creativity and Non-
Computability
EFTA00607035
Is Creativity Computation?
In 1961, J.R. Lucas published "Minds, Machines and
Godel," and in 1989 Penrose published "The Emperor's New
Mind", and then later "Shadows of the Mind."
The
Lucas-Penrose
argument
is
that
Godel's
Incompleteness Theorem states, given any consistent,
computable set of axioms, there are true statements about
the integers that can never be proved from those
axioms. They argue that humans discover these truths and
are therefore not axiomatic computable systems.
The problem with this line of reasoning is it requires us to
prove what is in a mathematician's brain and demonstrate
that the axioms were extended in order to make a new
mathematical discovery. Unfortunately there is no way to
read out the contents of a given brain.
All is not lost as an appeal to Turing's Halting problem
proof can be used to show that humans appear to solve non-
computable problems.
C The Penrose Institute 2016-17
The
Empero.ps
+ New Mind
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shadows of the min
ROGER PENROS
GER PENROSI
EFTA00607036
When did Creativity Emerge
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Penn».., Institute 2016-17
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EFTA00607037
Lucas-Penrose Argument
Truth
Truth
Truth
Truth
Truth
Truth
Truth
Truth Truth
7
'
Math Model
`Sound'
Consistent'
Problem with the Gide' Argument is
how do I know what is in the box.
The Penrose Institute 2016-17
55
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What is a Non-Computable Problem
Pomhhe ReniN(e
Non-Computable
"Mr
co
- NIP
SOY
Intractable
N SOM•1""
4IMM. Tractable
al P)
A(Alturni
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Some problems are very complex,
requiring unreasonable computation
resources (for example, The Travelling
Salesman Problem), while others are
non-computable. There is no general
algorithm which will solve them.
Diagram: Neil Immerman
®The Penmse Institute 2016-17
sa
EFTA00607039
The Understanding Puzzle
Another way to look at the unique processing method of the human brain is to
examine problems that are hard for artificial intelligence. When presented with a
problem, the human mind seems to 'understand' the nature of the problem, whereas
a computer applies brute force calculation.
8
7
6
5
4
3
A
H
L
II
I
I
G
II
TakahashitChes+Base
Chess blocking problems such as this are hard for
a computer, but even novice human chess players
can understand them. Often a computer will work
away at the problem or even blunder and lose the
position. Humans 'see' that there is no solution in
principle, and that the position is a draw.
Word Puzzles
Permitted Substitutions
C -> D
A -> 0
T -> G
Does CAT = DOG
Humans do it at sight
Computers Calculate
CAT = DAT
CAT = COT
CAT = CAG
DAT = DAG
COT= DOT
DOT = DOG
se
YES CAT = DOG
In word substitution puzzles humans appear to solve
the problems intuitively whereas a computer will
work methodically through all the permutations. It is
an open question whether humans are
subconsciously computing or if an AI could be
programmed to think intuitively.
®The Penrose Institute 2016-17
55
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Another Example: Image Recognition
All
these
pictures
were
misinterpreted
by
computer
image
recognition
software.
Humans don't make this sort of
mistake, although it is argued
we make other sorts of mistakes
and are subject to other failings
which do not plague computer
systems.
Are brains simply better image
recognition computers or do we
think differently?
O The Penrose Institute 2016-17
Nguyen A, Yosinski J, Clune J. Deep Neural Networks are Easily Fooled: High Confidence Predictions
for Unrecognizable Images. In Computer Vision and Pattern Recognition (CVPR '15), IEEE, 2015.
se
EFTA00607041
Human Intelligence and Artificial
Intelligence
Artificial Intelligence (AI) has been dramatically improved in recent years, with
abilities even superseding human abilities in actions such as visual recognition
and complex game play. Further, many AI actions now occur "unsupervised",
with no human action modulating the "training" of the AI system. However,
Human intelligence still lies beyond two important boundaries: energy and non-
computability. Human and other nervous systems can carry out actions of
learning and acting with infinitesimal amounts of energy: a few molecules of
ATP. Modern AI requires vast data centers. However, even with infinite digital
computing resources (and infinite energy) digital computers, by definition,
cannot create non-computable results that the human mind can. Mathematical
proofs are examples of NC items. An AI could call up the solution to Fermat's
Last Theorem (created by a human) from a memory store, but No AI can create
the solution. Thus the modern computing complex of AI research will not be able
to complete its task: replicating human intelligence. We argue it should not. A
new physics will ultimately determine the mechanism of the human brain. In the
meantime, understanding of NC mathematics and brain operations will result in
a hybrid, that will feature and accentuate the best of both: further freeing
Humans from computation and enabling creativity to mix with vast computing
power for new and better cognitive actions.
®The Penrose Institute 2016-17
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Non-Computable Classes
Problems divide into computable and non-computable classes. In the case of a non-computable class there
is no general algorithm which will solve all members. This limits the capability of Als because an AI (being
an algorithm) can not find the solution to arbitrary problems within the class, otherwise it would be able to
computationally solve any problem in the class, solving the Halting Problem.
Computable
Pt 3* V*
1st 3* V 3*
Linear
Diophantine
D3
D 32 MSWord
Chess t
Aaron
Emily Howell
D 32
Music
Invention
Art
The
Universe
Non-Computable
Some Art
Pt V3V
FLT Proof:?:
Halting Problem
Rice's Theorem
Diophantine Equations
Entscheidungsproblem
D 3V32 32V3
3V23. V33, V3V3
3-3 The Penrose Institute 2016-17
EFTA00607043
The P.rase In.tute N1,17
Neuronal Structure
EFTA00607044
Neurons Structure & Microtubules
Neurons contain considerable internal substructure which is conventionally thought to provide
physical support and energy transport functions. However, some types of neuron have mixed
polarity microtubule arrays which have a broken structure unsuited to either of these two
functions. With anesthesiologist Stuart Hameroff, Penrose has proposed a theory of
consciousness based on non-computable, quantum gravitational computation in these
microtubule arrays. The theory is called 'orchestrated objective reduction', 'Orel OR'). Despite
being widely attacked when first proposed the theory has several merits over other quantum theories, in
particular it is experimentally verifiable. It is both possible to test whether collapse occurs at certain energy
levels and to see whether non-computable computation is going on -. i.e. whether neuron arrays can 'beat' a
Turing Machine when performing certain tasks.
The Penrose Institute 2016-17
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Molecular Action of Neurons
Neurons are structures built of regular proteins, membranes, water and dissolved ions.
Their activity is physical-chemical action on those structures: the biology of life and thought
A crucial part of the mission of the Penrose Institute is to understand the molecular
structure of neurons and the physics of actions occurring on them.
Combining observational physics and physical chemical modelling will be done:
• Modelling water and then dissolved ions inside and outside neurons
• Modelling ion channels and em physics beyond Hodgkin-Huxley
• Measurement and modelling of microtubules
• A physical model of the complete axon with activities expected by prediction and verified
by experiment
• A quantum mechanical examination of micro-tubular activities
• Application of the quantum biological principles of life, such as those coming from
botany, to look for energy and computational efficiency
• A quantum biological model of neurons
One Penrose Institute 2016-17
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Neuronal Structure
Nucleus —
Nucleolus ---
Membrane
Krowbule
Hodgkin-Huxley
Neuronal Firing Model
The
standard
model
of
neuronal firing is as a
classical avalanche
effect
kicked off by the initial
synaptic firing of adjacent
neurons, but experiments
show the firing does not
accurately follow this model.
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The Penrose Institute 2016-17
EFTA00607047
Experimental Deviation from Predicted Hodgkin-Huxley Behavior
Projected from H-H
0
--50
50
Membrane potential
V
Intogrnto
limo (• '
Experimentally Observed
Membrane potential
Naundorf B, Wolf F, Volgushev M. Unique features of action potential
initiation in cortical neurons. Nature. 2006 440(7087):1060-3.
63
The Penrose Institute 2016-17
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Mitochondria
Models of Human Microtubules show Potential Quantum Behavior
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e The Penrose Institute 2016-1.7
EFTA00607049
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