Post on 04-Apr-2018
2015 ACS State Conference 1
2015 ACS State Conference
Rosehill Gardens, Sydney | 6+7 May 2015
The Big Picture on nano
Head Consultant, Management & Technology | GDN consulting firm
Your future has already started, integrate technology to deliver on your vision
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2015 Global Risks Map
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2015 Global Risks Correlation Map
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Human population
Biosphere
regeneration
Human
consumption
~ 1.3 times
what
the planet
can sustain
Net loss
28%
Steadily growing since mid 80’s
Source: Simms A., NEF (New Economics Foundation), London
Earth Profit & Loss 2014 based on Averaged human lifestyle
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disconnected physical, financial & geopolitical worlds
ETR (Ecological tax reform)??
EIA (Environmental impact assessment)??
Inter-sector policies, new institutions, legal reform?? IM (Industrial metabolism) ??
VA (Voluntary agreement) ??
EE (Ecological economics) ??
Climate change
Financial crises
Social instabilities
Major fiscal imbalances
Ineffective multi-polar geopolitics
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90% due to human
errors
failure of urban planning (10m lives each year)
29b barrels fuel wasted per year ***
450b hours smoked in traffic equivalent to:
0.76 million lives each year **
* source: WHO 2015 report on worldwide road death toll ** worldwide fuel consumption is 33b per year
*** based on 67.2 years or 588k hours worldwide average life expectancy
**** source: 2013 assessment by WHO’s International Agency for Research on Cancer (IARC)
1.24 million lives each year * #1 cause of death for aged 15-29 years*
20~50 millions injured*
Worldwide road death toll
Worldwide road congestion Air pollution (in & outdoors)
8 millions lives each year ****
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Potential
reforestation
Food growing
Habitable
zones
Inhabitable
deserts
Inhabitable floods, droughts
extreme weather
Land lost to
rising waters (2m assumption)
a map of climate change risks
The World 4ºC warmer
Source: New Scientist
Climate Change Report, 2009
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ageing population & major fiscal imbalance risks Worker (15 to 64) to Retiree (64+) dependency ratios
Source: UN, Department of Economic & Social Affairs, 2014
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share economy, co-creation + 3D manufacturing
Disruptive global digital neo-economics, barter resurgence & dematerialization
Share Economy (Internet, Uber, Airbnb) unused value is wasted value
Generalised crowdsourcing along the entire value chain (co-creation)
The latest Maslow’s
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share economy, co-creation + 3D manufacturing
Co-creation + 3D manufacturing Communities of Passion (psychographics vs demographics)
3D printing of medicines (Prof. Lee Cronin, Uni of Glasgow)
3D printing of live tissues & organs (bio-printing)
Local Motors (Rally Fighter) | General Motors (Chevy Volt) | Fisker Automotive (Karma) | Tesla (Roadster)
co-creation + 3D
the automotive
industry example
Source: 2015, CEO Jay Rogers, Local Motors
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on-demand 3D-printed personalized medicine prescription
more direct well-suited 3D-printed drug value chain
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rise of the machines The IoT (Internet of Things) or
IoE (Internet of Everything) IPv4 (4.3b addresses) IPv6 (3% in 2014)
Big Data Analytics Deep domain expertise & learning algorithms
merging genomics & informatics
6, 7 & 8th level normalization
unstructured data
Mobile connecting
technology
smart information
smart machines
smart cities
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evolving from net emitters to
CO2-capture mega-systems
smart cities | the big picture
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smart cities | extramuros
2015 AeroFarms case in New Jersey US:
• 95% water needs reduction
• 75 times more productive
• biosphere size increase
• carbon-capture system
• 0-pesticide & 0-soil
• 16 days cycle
integrated vertical urban
farming (edible + bio-fuels)*
new mobility
paradigm shift
average private cars
unused 92% of the
time **
existing infrastructure
3 times more efficient
with driverless ***
* Based on 2015 AeroFarms results in New Jersey
** 2014 Stanford Energy Institute research
*** 2011 Google Driverless Car Project, Sebastian Thrun
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smart cities | intramuros
autonomous, automated, alive,
sustainable, re-configurable
modular buildings
smart information
from GUI* to NUI**
& M2M*** (web 3.0)
* Graphical User Interface ** Natural User Interface *** Machine-To-Machine
India (31% urbanization) 2015 budget 70.2b INR**** to build 100 new smart cities
**** 1.2b US$
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emerging nano tech & impact on AC
1. BCI (brain computer interface)
2. 4D (smart materials)
3. nanotheranostics
4. neuromorphic IT
5. reverse Moore’s law & web 4.0
6. new challenges
7. AC take away
8. Q & A
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BCI (Brain Computer Interface)
a short video summary
Click here
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4D printing (self assembly)
Skylar Tibbits | MIT
4D = 3D + 1D (time / transformation)
Self-Assembly = process
by which disordered parts
build an ordered structure
only via local interaction
Programmable matter =
material that can change
form or behave in a
programmable fashion
smart material (robot without robots)
Robots
Click here
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4D printing applications
Self-repairing active pipes (no mechanical pumps)
Self-transforming reconfigurable buildings
Other building / Construction applications
Aviation
Adaptive, supporting & assistive
textile, apparel & footwear
Self-assembling products from 2D to 3D
Lower-engineered adaptive furniture
Self-adaptive packaging
Automotive
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nanotheranostics
nanotheranostics = nano + therapies + diagnostics
nanomedicine
nanodrug delivery
nano regeneration
nanotheranostics
Related disciplines, concepts & terminology
• zero-incision or non-invasive surgery
• precision or personalized medicine
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nanodrug basic building block metaphor
Bio-markers
Container/s
Cargo/s (inside the container/s)
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nanotheranostics vs conventional treatment
In vivo
via nanotheranostics
Ex vivo (In vitro) interrogation
+ chemotherapy
Detection entire circulation interrogation sample-based interrogation
vs
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nanotheranostics vs conventional treatment
In vivo
via nanotheranostics
Ex vivo (In vitro) interrogation
+ chemotherapy
Detection entire circulation interrogation sample-based interrogation
Progression dynamic monitoring -
X vs
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nanotheranostics vs conventional treatment
In vivo
via nanotheranostics
Ex vivo (In vitro) interrogation
+ chemotherapy
Detection entire circulation interrogation sample-based interrogation
Progression dynamic monitoring -
Therapy
narrow target & destruction upon
recognition of pathogenic cells +
real-time response monitoring
broad range & mass destruction
with collateral damages to healthy
cells + asynchronous monitoring
vs
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nanotheranostics vs conventional treatment
In vivo
via nanotheranostics
Ex vivo (In vitro) interrogation
+ chemotherapy
Detection entire circulation interrogation sample-based interrogation
Progression dynamic monitoring -
Therapy
narrow target & destruction upon
recognition of pathogenic cells +
real-time response monitoring
broad range & mass destruction
with collateral damages to healthy
cells + asynchronous monitoring
vs
vs
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more advanced nanotheranostics
From rudimentary multiplexing nanodrugs to smarter bio-computing ones
Versatile built-in computing/robotics using DNA origami nanobots
More advanced computing based on swarms of nanobots
• Hand shakes
• Quorum sensing
• Swarm computing
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nanobots
Ido Bachelet, Shawn Douglas, Daniel Levner & the research team
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First Human trials
starting from 2015
nanobots zero-incision or non-invasive surgery
or
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nanobots zero-incision or non-invasive surgery
or
“Big Pharma spends trillions of dollars
attempting to build ‘sophisticated guns’
(drugs) that shoot only ‘bad people’
(pathogens). This is difficult and indeed
fails most of the time. We already have
enough guns (both used & unused drugs):
what we need is to teach the soldier
(nanodrug platform) how to use them”
2014 Ido Bachelet
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Next from DNA origami to RNA/DNA 3D nanofactory
Deliver drugs directly to the pathogenic site Responsively manufacture tailored drugs
Use DNA as a building block for nanomachine Let DNA (RNA) be THE nanomachine
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brain research & neuromorphic computing
conventional IT | a very brief history
https://www.youtube.com/watch?v=dfIN6jcmfuI
https://www.youtube.com/watch?v=PCql2DgW5sE
“It is comparatively easy to make computers exhibit adult
level performance on intelligence tests or when playing
checkers, and yet very difficult or impossible to give them the
skills of a 1-year old when it comes to perception & mobility”
1980 | Hans Moravec | Carnegie Mellon University | Robotics & Artificial Intelligence
George Boole
1815 – 1864 Charles Babbage
1791 – 1871
Alan Turing
1912 – 1954 John Von Neumann
1903 – 1957
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brain research & neuromorphic computing
advent of non-Von Neumann machines Qualcomm Zeroth NPU
Neural Processor Unit
* 86b neurons + 100t synapses in a Human brain
IBM TrueNorth
1m neurons + 256m synapses*
Artificial Intelligence
Deep Learning algorithms
Yann LeCun Geoff Hinton
€ 1.2 billion over 10 years (2013 – 2023)
US$ 3 billions over 10 years (2013 – 2023)
Both projects triggered by
too lengthy delays in
solving brain disorders and
degenerative conditions via
cognitive & neuroscience
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Moore’s Law
1965 1990 2015 2020 2050 2080 …
Macro
Nano
4D
neuromorphic
biocomputing
where it all collides reverse
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predicting the next (easy-to-swallow) gizmo
1. Rewrite your cells internal clock • cell regeneration beyond 40 subdivision cycle
• prolong existence to 150, 200, 300 years or
• … until you get bored to (literally) death
2. Your 24/7 personal bodyguard • protect dynamically against all diseases
• DNA-tailored nanotheranostics
• universal built-in nanofactory
3. Instant knowledge access • merged neuromorphic processes
• bio-synthetic knowledge storage
4. Tele-kinetic powers • Wirelessly control 4D objects
5. Telepathic powers • subvocalized brain-2-brain
• Cloud-connected brains
• BrainNet aka web 4.0
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bio-hacking
Erwin Schrödinger Craig Venter
1944 First DNA model proposal
“What is Life?” Erwin Schrödinger
2000 Genome mapping completed
2010 First synthetic life created
“Life is a DNA software
system and I created it” Craig Venter
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the smarter-than-human AI* conundrum
“The core problem is one of aligning AI goals with human goals.
If smarter-than-human AI’s are built with goal specifications that
subtly differ from what their human inventors intended, it is
unclear that it will be possible to stop those AI’s from using all
available resources to pursue those goals, any more than
chimpanzees can stop humans from doing what they want ” Stuart Russel Professor of Computer Science
Smith-Zadeh Professor in Engineering
University of California, Berkeley
* Artificial Intelligence
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Societal, ethical & economic impact of technology
an example | AI* learning machines
47% of jobs to be automated Source: 2014 Carl Benedikt Frey & Michael A. Osborne | Oxford University
* Artificial Intelligence
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1. Inconsistencies example: self-flying objects 2. Space Cross-border harmonization?
3. Speed multi-stage adaptive regulations to
manage uncertain future of emerging technologies
4. Ownership which regulatory body should take
initiative with cross-disciplinary emerging technology?
5. Regulative vacuum religious powers, action
groups, future generations, industries self-regulations
6. Societal, ethical & economic impact is
technology a Human right? Or a market choice? What
is an economic transaction? How to measure value?
law-making process inadequacies
“It took 80 years for the
international community to
reach legal consensus on
chemical weapons ban”
“A driverless world would mean a
world without any road accidents:
this would prove catastrophic for
our car insurance business.” 2014
Warren Buffet (Geico Car insurance)
“Who is liable to the injured
when driverless cars choose
between pedestrian, cyclist
or passenger in any life-
threatening events?”
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Industry associations | engaged catalysts
Eldercare pivotal to most 21st century social conundrums
Source: 2015 World Happiness Report
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Industry associations | engaged catalysts
• Eldercare pivotal to most 21st century social conundrums
• Trust + Time = the new currencies Democracy 3.0
• Co-created Law-centric engagement platforms
co-creation +
communities of
passion
Source: 2015, CEO Jay Rogers, Local Motors
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aged care providers | 360° engagement
• Shift to CDC more competition + new marketing streams
• Co-creation engagement platforms with core audiences
• Extend 360° engagement via & beyond your boards
Are you already co-creating your
next product / service with your
own communities of passion?
new mobility
paradigm shift
Are you engaged into the
strategic conversations
such as those on smart
cities, aged care laws,
social ethics?
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residential providers | long-term assets strategies
sustainable, re-configurable & modular buildings
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How nanotheranostics
might impact demand
for high care needs?
Contingency planning for disruptive technologies
on long-lifecycle onerous investments (buildings)
How new economics might
impact the supply-demand
entire graph itself?
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renewed focus on lifestyle & leisure activities for the super-healthy, hyper-knowledgeable, brain-connected
(and most probably … bored to death) 300-years-young