Ray Kurzweil
The Power of Hierarchical Thinking
What does it mean to understand the brain? Where are we on the roadmap to this goal? What are the effective routes to progress - detailed modeling, theoretical effort, improvement of imaging and computational technologies? What predictions can we make? What are the consequences of materialization of such predictions - social, ethical? Kurzweil will address these questions and examine some of the most common criticisms of the exponential growth of information technology including criticisms from hardware ("Moore's Law will not go on forever"), software ("software is stuck in the mud"), the brain ("the brain is too complicated to understand or replicate"), ontology ("software is not capable of thinking or of consciousness"), and promise versus peril ("biotechnology, nanotechnology, and artificial intelligence are too dangerous").
There is now a grand project comprising at least a hundred thousand scientists and engineers working in diverse ways to understand the best example we have of an intelligent process: the human brain. It is arguably the most important project in the history of the human-machine civilization. The goal of the project is to understand precisely how the human brain works, and then to use these revealed algorithms as a basis for creating even more intelligent machines.
As we learn the algorithms underlying human intelligence, we will similarly be able to engineer it to vastly extend the powers of our intelligence. Indeed this process is already well under way. There are literally hundreds of tasks and activities that used to be the sole province of human intelligence that can now be conducted by computers usually with greater precision and vastly greater scale.
Was it inevitable that a species would evolve that is capable of creating its own evolutionary process in the form of intelligent technology? Kurzweil will argue that it was.
According to my models we are only two decades from fully modeling and simulating the human brain. By the time we finish this reverse-engineering project, we will have computers that are millions of times more powerful than the human brain. These computers will be further amplified by being networked into a vast world wide cloud of computing. The algorithms of intelligence will begin to self-iterate towards ever smarter algorithms.
This is how we will address the grand challenges of humanity such as maintaining a healthy environment, providing for the resources for a growing population including energy, food, and water, overcoming disease, vastly extending human longevity, and overcoming poverty. It is only by extending our intelligence with our intelligent technology that we can handle the scale of complexity to address these challenges.
Ray Kurzweil has been described as "the restless genius" by the Wall Street Journal, and "the ultimate thinking machine" by Forbes. Inc. magazine ranked him #8 among entrepreneurs in the United States, calling him the "rightful heir to Thomas Edison", and PBS included Ray as one of 16 "revolutionaries who made America", along with other inventors of the past two centuries.
As one of the leading inventors of our time, Ray was the principal developer of the first CCD flat-bed scanner, the first omni-font optical character recognition, the first print-to-speech reading machine for the blind, the first text-to-speech synthesizer, the first music synthesizer capable of recreating the grand piano and other orchestral instruments, and the first commercially marketed large-vocabulary speech recognition. Ray's web site Kurzweil AI.net has over one million readers.
Among Ray's many honors, he is the recipient of the $500,000 MIT-Lemelson Prize, the world's largest for innovation. In 1999, he received the National Medal of Technology, the nation's highest honor in technology, from President Clinton in a White House ceremony. And in 2002, he was inducted into the National Inventor's
Abstract: Light Blue Optics’ holographic laser projection technology can be utilised to create a virtual image display which, with a volume enclosing less than 700cc, exhibits a form-factor consistent with integration into a rear-view mirror. By combining the visual accommodation and concomitant reaction time benefits of a head-up display with the ability to present high resolution safety-critical information in a rear-view off-axis configuration with large eyebox, significant potential safety benefits can result.
from light blue optics (LBS)
Accelerating Innovation , Increasing Governance & Reducing Cost using Cloud-...Amazon Web Services
The cloud has accelerated the pace of technology innovation. But what about software procurement and service management? In this session, we will explore how software procurement is changing in the cloud and how leading-edge customers are taking advantage of AWS Marketplace to optimise cloud software procurement. We will also discuss how AWS Marketplace is making it easier to discover, procure, and deploy software as well as how AWS Service Catalog makes it easier to manage your software portfolio. Speaker: David McCann, Global VP of AWS Marketplace, AWS
Ask An Expert: Actionable Facebook Campaign Strategies For Black Friday & BeyondTinuiti
The Story: With over 2 billion monthly active users, Facebook is the perfect platform for retailers to further impression share, drive brand affinity & revenue, and increase ROI. With an influx of traffic looming in the horizon, it is imperative to align your Facebook campaigns to meet your specific goals for Black Friday & Cyber Monday.
Top Amazon Sponsored Product Mistakes Draining Your Budget & Profits | CPC St...Tinuiti
Are my campaigns performing at their optimal level?
Why aren’t my Sponsored Product ads converting?
My ACoS is cutting into my profit margins—How do I fix this?
Why aren’t my ad placements sending enough traffic to my listings?
We find these types of questions come up A LOT with Amazon Sellers trying to maximize the performance of their Sponsored Product investments. Therefore we’re having former member of Amazon’s Seller Services team, Pat Petriello, and Top 250 Amazon Seller, Chad Rubin, demonstrate their proven methodologies for improving campaign performance.
Abstract: Light Blue Optics’ holographic laser projection technology can be utilised to create a virtual image display which, with a volume enclosing less than 700cc, exhibits a form-factor consistent with integration into a rear-view mirror. By combining the visual accommodation and concomitant reaction time benefits of a head-up display with the ability to present high resolution safety-critical information in a rear-view off-axis configuration with large eyebox, significant potential safety benefits can result.
from light blue optics (LBS)
Accelerating Innovation , Increasing Governance & Reducing Cost using Cloud-...Amazon Web Services
The cloud has accelerated the pace of technology innovation. But what about software procurement and service management? In this session, we will explore how software procurement is changing in the cloud and how leading-edge customers are taking advantage of AWS Marketplace to optimise cloud software procurement. We will also discuss how AWS Marketplace is making it easier to discover, procure, and deploy software as well as how AWS Service Catalog makes it easier to manage your software portfolio. Speaker: David McCann, Global VP of AWS Marketplace, AWS
Ask An Expert: Actionable Facebook Campaign Strategies For Black Friday & BeyondTinuiti
The Story: With over 2 billion monthly active users, Facebook is the perfect platform for retailers to further impression share, drive brand affinity & revenue, and increase ROI. With an influx of traffic looming in the horizon, it is imperative to align your Facebook campaigns to meet your specific goals for Black Friday & Cyber Monday.
Top Amazon Sponsored Product Mistakes Draining Your Budget & Profits | CPC St...Tinuiti
Are my campaigns performing at their optimal level?
Why aren’t my Sponsored Product ads converting?
My ACoS is cutting into my profit margins—How do I fix this?
Why aren’t my ad placements sending enough traffic to my listings?
We find these types of questions come up A LOT with Amazon Sellers trying to maximize the performance of their Sponsored Product investments. Therefore we’re having former member of Amazon’s Seller Services team, Pat Petriello, and Top 250 Amazon Seller, Chad Rubin, demonstrate their proven methodologies for improving campaign performance.
The early 21c has brought the power of the computer into the hands of the general population, and though these computers consume small amounts of energy they are so numerous that their Energy Efficiency will soon become a major issue. This presentation looks at modern Computing, the ways that Energy Efficiency is currently being enhanced, and the principles behind this.
The Geospatial Revolution in CopenhagenPeter Batty
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Bluffers guide to elitist jargon - Martijn Verburg, Richard Warburton, James ...JAX London
Have you always secretly wondered what the heck 'monads' are? How about 'Tail-call recursion?' or 'monomorphic dispatch'? If this sort of terminology has ever left you with self-doubts or seething with anger because someone is confusing you with elitist terminology, then this is the talk for you! Dr Richard Warburton and the Diabolical Developer + James Gough will take a humorous look at the wide range of incomprehensible terminology in our industry today. They'll cover the concepts behind the jargon with simple examples and some practical tips on how to blend the terminology into your day to day technical conversations without scaring everyone off. At the end of the talk you'll be ready to battle it out on tough mailing lists (Scala!) and have a new appreciation for some of the academic principles behind our craft. Oh and as for monads? Well they're just like burritos, except they're not...
Exemplar: Designing Sensor-based interactions by demonstration... (a CHI2007 ...bjoern611
Authoring Sensor-based Interactions by Demonstration with Direct Manipulation and Pattern Recognition
Björn Hartmann, Leith Abdulla, Manas Mittal, Scott Klemmer
Contributes method and tool for rapidly designing sensor-based interactions by demonstration; emphasizes control of generalization criteria through integrating direct manipulation and pattern recognition; offers theoretical and first-use lab evaluations.
Performance Management in ‘Big Data’ ApplicationsMichael Kopp
Do applications using NoSQL still require performance management? Is it always the best option to throw more hardware at a MapReduce job? In both cases, performance management is still about the application, but "Big Data" technologies have added a new wrinkle.
For the full video of this presentation, please visit:
https://www.edge-ai-vision.com/2020/12/a-new-golden-age-for-computer-architecture-processor-innovation-to-enable-ubiquitous-ai-a-keynote-presentation-from-david-patterson/
For the follow-on interview with David Patterson, please visit:
https://www.edge-ai-vision.com/2020/12/perspective-on-the-past-present-and-future-of-processor-design-an-alliance-interview-with-david-patterson/
For more information about edge AI and computer vision, please visit:
https://www.edge-ai-vision.com
David Patterson, UC Berkeley professor of the graduate school, a Google distinguished engineer and the RISC-V Foundation Vice-Chair, presents the “A New Golden Age for Computer Architecture: Processor Innovation to Enable Ubiquitous AI” tutorial at the September 2020 Embedded Vision Summit.
Paradoxically, processors today are both a key enabler of and a painful obstacle to the widespread use of AI applications. Despite big recent advances in machine learning (ML) processors, many people creating ML algorithms and applications still need much better processors to make their ideas practical, affordable and scalable. What will it take to bring processors to the next level, so that ML-based solutions can be deployed widely? Uniquely qualified to answer these questions is keynote speaker and Turing Award winner David Patterson.
Patterson shares his perspective on the past, present, and future of processor design, highlighting key challenges, lessons learned, and the emergence of machine learning as a key driver of processor innovation. Using lessons learned from an earlier revolution in processor architecture, the RISC revolution, Patterson explains why today, the most promising direction in processor design is domain-specific architectures (DSAs) — processors that are optimized for specific types of workloads. To illustrate the concepts and advantages of DSAs, Patterson examines Google’s Tensor Processing Unit (TPU), one of the earliest DSAs to be widely deployed for machine learning applications.
AILABS Lecture Series - Is AI The New Electricity. Topic - Deep Learning - Ev...AILABS Academy
Artificial Intelligence is transforming the world. Deep Learning, an integral part of this new Artificial Intelligence paradigm, is becoming one of the most sought after skills. Learn more about Deep Learning and its Evolution.
DRCOG: The Geospatial Revolution Peter BattyPeter Batty
Presentation at DRCOG in Denver on the Geospatial Revolution. Some additional material on data sharing compared to previous versions of the same talk (but a lot of common material)
Latest iteration of my Geospatial Revolution talk that I've been using on my down under tour. Includes various cricket slides, probably comprehensible only to Aussies and Pommies :) !!
How WE create I - Heather Schlegel - H+ Summit @ HarvardHumanity Plus
Heather Schlegel
VP of Product Management, Debtmarket
How WE create I:
Post-Human Identity, Privacy and Self-Value
Science and technology let you to create the person you want to be. How does the technology we create today enable future selves? What is the impact on identity creation, individual privacy and self-value?
Heather Schlegel is a futurist, technologist, and cacophonist. For more than 12 years she has helped build innovative Internet products in Silicon Valley and has more than 50 product launches to her name. Schlegel is currently the head of product development at DebtMarket, a financial start-up in Los Angeles. Her research projects include disruptive technology in financial markets: lending, alternate/virtual currencies and transactions; long-term product adoption for innovative technologies and positive wildcards. Schlegel is primarily known by her online moniker, heathervescent, where she explores the intersection of technology, culture and identity.
Superconducting Quantum Circuits That Learn - Geordie Rose - H+ Summit @ HarvardHumanity Plus
Geordie Rose
D-Wave Systems Inc.
Special purpose superconducting quantum processors for disruptively accelerating machine learning
Any system that could be considered intelligent must be able to learn. Unfortunately teaching machines how to learn in a generalizable way – so-called minimally supervised or unsupervised learning – is an extremely hard problem. While much progress has been made in understanding how we might do this – for example using deep belief networks – all current proposals are extremely computationally intensive. Exercising them in real-world situations is often not possible because of the required computational cost – even for large corporations with access to enormous server farms. Here I present a path to overcoming this problem by running state of the art machine learning algorithms on a revolutionary new processor design, which uses quantum effects to enable a class of algorithms that cannot be run on any conventional processor.
Dr. Geordie Rose is the founder and CTO of D-Wave. He is known as a leading advocate for quantum computing and superconducting processors, and has been invited to speak on these topics in a wide range of venues, including TED, Future in Review and SC.
His innovative and ambitious approach to building quantum computing technology and support infrastructure has received coverage in MIT Technology Review magazine, The Economist, New Scientist, Scientific American and Science magazines, and one of his business strategies was profiled in a Harvard Business School case study.
Dr. Rose holds a Ph.D. in theoretical physics from the University of British Columbia, specializing in quantum effects in materials. While at McMaster University, he graduated first in his class with a B.Eng. in Engineering Physics, specializing in semiconductor engineering.
The Rise of Citizen-Scientists in the Eversmarter World - Alex Lightman - H+ ...Humanity Plus
Alex Lightman
Executive Director, Humanity+
The Rise of Citizen-Scientists in the Eversmarter World
Knowledge may be expanding exponentially, but the current rate of civilizational learning and institutional upgrading is still far too slow in the century of peak oil, peak uranium, and "peak everything". Humanity needs to gather vastly more data as part of ever larger and more widespread scientific experiments, and make science and technology flourish in streets, fields, and homes as well as in university and corporate laboratories. In this talk, H+ Executive Director Alex Lightman will give an introduction and overview of the big picture of H+ the organization, the magazine, and the conference, and how the participants can make the most of their experience and relationships at the conference. The case for ending embargoes and other beaver dams in the rivers of potentially global knowledge will be made. Lightman will offer a vision of a properly functioning Eversmarter world, ending with a call to action to become a citizen-scientist, and a recruiter of other citizen-scientists.
Alex Lightman is the Executive Director of Humanity+ and the chair of the H+ Summit @ Harvard and of the inaugural H+ Summit held December 2009 in Irvine, California. He is a director of Fortune Nest Corporation (Bahrain, Beijing and Beverly Hills, CA) and of Inova Technology. He is an award-winning educator, an inventor with several US patents issued or pending and the author of over 800,000 words, including 12 articles in h+ magazine, and Brave New Unwired World: The Digital Big Bang and The Infinite Internet, the first book on 4G wireless. He has advised NATO, the US Dept. of Defense, and a number of governments on Internet Protocol version 6, the 128-bit successor to the current Internet, IPv4. Lightman's advocacy led to the only Congressional hearings held on US Internet Leadership, conducted by The Government Reform Committee and at which Lightman testified, leading to implementation of Lightman's recommendations to mandate IPv6 for the US government and require IPv6 as part of government information technology contracts. Lightman studied Civil and Environmental Engineering, and graduated from the Massachusetts Institute of Technology in 1983 (Course I-A), and attended graduate school at Harvard's Kennedy School of Government. He lives in Santa Monica, California, where he runs marathons, and attempts his first Ironman triathlon, in the UK, on August 1, 2010.
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https://www.edge-ai-vision.com/2020/12/a-new-golden-age-for-computer-architecture-processor-innovation-to-enable-ubiquitous-ai-a-keynote-presentation-from-david-patterson/
For the follow-on interview with David Patterson, please visit:
https://www.edge-ai-vision.com/2020/12/perspective-on-the-past-present-and-future-of-processor-design-an-alliance-interview-with-david-patterson/
For more information about edge AI and computer vision, please visit:
https://www.edge-ai-vision.com
David Patterson, UC Berkeley professor of the graduate school, a Google distinguished engineer and the RISC-V Foundation Vice-Chair, presents the “A New Golden Age for Computer Architecture: Processor Innovation to Enable Ubiquitous AI” tutorial at the September 2020 Embedded Vision Summit.
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- Video “Hall of Fame”
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- Computer Museum “Hall of Fame”
- Distinguished Leader of Silicon Valley
- The Agenda “Crystal Ball Award”
- Babson College “Distinguished Entrepreneur”
- British Academy of Film and Television Arts (BAFTA) Life Time Achievement Award
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Do-it-yourself Transhuman Tech
This talk will cover the prospects of do-it-yourself transhumanism, do-it-yourself garage biotech and engineering. These topics and more will be explored within the context of open source technology and licensing. In addition, progress on open source DIY lab-on-a-chip devices will be exhibited.
Bryan Bishop is an advocate and developer of do-it-yourself transhumanism and open source hardware. His primary focus is directing a "triple trick" transhumanist team focusing on accelerating trends like the technological singularity, do-it-yourself biology, and open source technologies. In 2008, Bishop became a research assistant at the Automated Design Lab at the University of Texas at Austin. From time to time, if you're lucky, you might find him stealing a few hours of sleep on the lab couch. Lately he spends his waking hours at the recently new hackerspace in Austin, Texas.
You can find him on the web at http://heybryan.org
Transhumanism & Education - Kevin Jain - H+ Summit @ HarvardHumanity Plus
Kevin Jain
Transhumanism & Education
In reviewing the curricula of various Universities, one will find few, if any, classes that meaningfully consider the increasing assimilation of technology with the human. If an education predicated on assumptions of human nature is made without a meaningful consideration of transhumanism, can it remain relevant in a future where technology may render false these very assumptions? How can the question of human enhancement be introduced as a topic of more widespread academic deliberation? This talk will also discuss current efforts in this arena.
Kevin Jain is an undergraduate at Harvard University, and is Founder and President of the Harvard College Future Society, a student organization interested in evaluating the impact of future technologies on the human and humanity. He is the Student H+ Summit Coordinator, and helped organize the H+ 2010 Summit at Harvard. He plans to graduate with a special concentration in Transhumanism.
Can we extract a mind from a plastic-embedded brain? - Kenneth Hayworth - H+ ...Humanity Plus
Ken Hayworth
Can we extract a mind from a plastic-embedded brain?
We now have a good working theory of consciousness – the phenomenal self model (Metzinger 2009), and we have a good understanding of the human cognitive architecture (Anderson 2007) within which this self model is implemented. The key components of this cognitive architecture are declarative memory chunks and productions – thought to be implemented as stable attractors in the neural networks of the cortex and basal ganglia. According to neural network theory, such stable attractors are robustly defined by the synaptic connectivity between neurons. In small pieces of tissue such synaptic connectivity is easily preserved using chemical fixation and embedding in plastic, and it should be relatively easy to adapt these protocols into a surgical procedure performed in hospitals to preserve whole human brains. Such plastic embedded brain tissue can be imaged at the nanometer level using new automated techniques (SBFSEM, FIBSEM, Tape-to-SEM), and we can directly extrapolate these techniques to future ones that will enable all the synaptic connections within a human brain to be mapped allowing a fully accurate simulation of the original preserved mind. In short, we have a complete sketch of how mind uploading will work and we have a mandate to implement emergency brain preservation in hospitals for all who desire access to this future technology.
Kenneth Hayworth, a postdoctoral fellow at Harvard University, is the inventor of several technologies for high-throughput volume imaging of neural circuits at the nanometer scale. He received a PhD in Neuroscience from the University of Southern California for research into how the human visual system encodes spatial relations among objects. Hayworth is a vocal advocate for brain preservation and mind uploading, and runs a website (www.brainpreservation.org) calling for the implementation of an Emergency Glutaraldehyde Perfusion procedure in hospitals, and for the development of a Whole Brain Plastic Embedding procedure which can demonstrate perfect ultrastructure preservation across an entire human brain.
Computation of Things - Justyna Zander, Pieter Mosterman - H+ Summit @ HarvardHumanity Plus
Justyna Zander
Harvard University
Fraunhofer Institute FOKUS
Computation of Things:
Challenges and Solutions for the Needs of Humanity
Presented with Pieter J. Mosterman
The current exponential growth of technologies is providing novel, frequently unimaginable ways of leveraging its applications for human needs. Ubiquitous communication capabilities allow a redefinition of an individual person as one who is becoming an integrated part of the virtual world and vice versa. The challenge of sustainable development of those trends from the perspective of a single human and humanity as such remains unsolved.
In the presented vision various aspects of the sustainability (e.g., the relation between a person’s quality of life, climate change, and social awareness) are highlighted to explore and share how an individual impacts and is impacted by the surrounding. Ultimately a technological solution called Computation of Things (CoTh) is outlined. It allows for a quick and reliable assessment of people’s possible decision paths and how this affects sustainable development on a local and global scale. Forecasting life-path alternatives for a human based on its geographic position (including pollution level, energy usage), activity patterns (including nutrition habits, lifestyle, travelling load, family status, circle of friends, social network, or virtual life), and state patterns (including individual’s DNA, current health conditions, musculature) is targeted.
CoTh enables an understanding of the individual self and its surrounding based on the micro-scale information that combines with macro-scale data to enable prediction of different life scenarios. It is defined as an abundant supply of predictive computation capabilities of high performance and large-scale applicability with high accuracy and quality so as to allow for providing humanity’s physical, physiological, mental, and spiritual needs in a profound and as of yet unfathomed manner.
Its core is strongly connoted with physical systems engineering. Thus, a parallelly-conducted research on the notion of computation deploys computational models as the primary representations of physics, instead of attempting to approximate first principles ever closer. A theory of treating models as dynamic systems themselves follows. This evokes the promise for a fundamental breakthrough in terms of computational semantics the significance of which becomes paramount as far as the faithfulness of the predictions is considered.
Dr. Justyna Zander is a Postdoctoral Research Scientist at Harvard University (Harvard Humanitarian Initiative) in Cambridge, MA, USA (since 2009) and Project Manager at the Fraunhofer Institute for Open Communication Systems in Berlin, Germany (since 2004). She holds Doctorate of Engineering Science (2008) and Master of Science (2005), both in the fields of Computer Science and Electrical Engineering from Technical University Berlin, Germany, Bachelor of Science (2004) in Computer Science, and Bachelor of Science (2003) in Environmental Protection and Management from Gdansk University of Technology, Poland.
She graduated from the Singularity University, Mountain View, CA, USA in 2009 where she then was a Teaching Fellow in 2010. Before she was a visiting scholar at the University of California in San Diego, CA, USA in 2007, and a visiting researcher at The MathWorks in Natick, MA, USA in 2008. Her research interests include heterogeneous system development, design, simulation, computation, humanities, and future studies.
For her scientific efforts Dr. Zander received grants and scholarships from such institutions as Polish Prime Ministry (1999-2000), Polish Ministry of Education and Sport (2001–2004), German Academic Exchange Service (2002), European Union (2003-2004), Hertie Foundation (2004-2005), IFIP TC6 (2005), German National Academic Foundation Grant (2005-2008), IEEE (2006), Siemens (2007), Metodos y Tecnologia (2008), Singularit
Far Beyond Smartphones - David Wood - H+ Summit @ HarvardHumanity Plus
Far Beyond Smartphones:
Lessons From Disruptive Technology, Open collaboration, and Breakthrough Mobile products
David Wood has spent more than 20 years envisioning, architecting, implementing, supporting, and avidly using smart mobile devices (devices that can also be called "personal electronic brains"): ten years with PDA manufacturer Psion PLC, and then ten more with smartphone operating system specialist Symbian Ltd. He was centrally involved in preparations and planning for the open source Symbian Foundation. Over that time, many lessons have emerged, highly relevant to the H+ mission to explore how humanity will be radically changed by technology in the near future:
What factors cause both spurts and slowdowns in technology development? What enables new technology visions to "cross the chasm" towards mainstream adoption? Given the history of improvements in smart mobile devices over the last 20 years, what can we realistically expect in the next 20 years? How credible is the vision of mobile devices helping billions of people to collect data that can be used for science and advance human knowledge? To what extent can technological progress be foreseen, and to what extent is the process chaotic, risky, and even dangerous?
David Wood spent ten years with PDA manufacturer Psion PLC, and then ten more with smartphone operating system specialist Symbian Ltd, where he was co-founder and executive vice president.
His background includes: many years building and integrating UI system software and application frameworks in 16-bit and 32-bit versions of “EPOC” software (later named “Symbian OS”); growing and directing the technical consulting teams that worked with leading phone manufacturers to create the world’s first successful smartphones; and defining and running development programs to stimulate and nurture the fast-growing Symbian partner ecosystem.
From the first half of 2008, he was involved in preparations and planning for the independent open source Symbian Foundation. He served on the Leadership Team of the Symbian Foundation as “Catalyst and Futurist” until October 2009. I continue these same roles from within Delta Wisdom.
He has an MA in Mathematics from Cambridge University and an honorary doctorate in science from the University of Westminster.
In September 2009 he was included in T3's list of "100 most influential people in technology": http://tech100.t3.com/list/80-61/.
Military 2.0 - Patrick Lin - H+ Summit @ HarvardHumanity Plus
For better or worse, the military is a major driver of technological, world-changing innovations, such as the Internet. At the same time, wars and armed conflicts are a key roadblock in the evolution of humanity. Therefore, to understand how emerging technologies will change our lives, we must look at their military origins as a harbinger of things to come for society at large. This presentation will focus on ethical and policy questions arising from two key areas making headlines today and in the future: human enhancement technologies and robotics.
For instance, are there moral or practical issues with eliminating human emotions such as fear or anger, which have led to abuses and accidents in wartime? Must these enhancements (and others, such as super-strength) be temporary or reversible, considering that soldiers usually return to civilian life? Robots can discourage such abuses if equipped with cameras, becoming objective and unblinking observers on the battlefield, but would this erode cohesion and trust among soldiers – and in the civilian realm, would surveillance robots infringe on our privacy? Generally, would these new technologies make it easier to engage in war, since they would lower political costs by reducing the number of casualties on our side – if so, is it immoral, or otherwise counterproductive to humanity's progress, to develop these capabilities?
Patrick Lin is the director of the Ethics + Emerging Sciences Group , based at California Polytechnic State University, San Luis Obispo. Most recently, he has led research efforts that culminated in two major reports: Autonomous Military Robotics: Risk, Ethics, and Design (funded by the U.S. Dept. of Defense/Navy, 2008) and Ethics of Human Enhancement: 25 Questions & Answers (funded by the U.S. National Science Foundation, 2009). He has published several books and papers in the field of technology ethics, including a new monograph What Is Nanotechnology and Why Does It Matter?: From Science to Ethics (Wiley-Blackwell, 2010) and a forthcoming anthology Robot Ethics: The Social and Ethical Implication of Robotics (MIT Press, in preparation). Dr. Lin earned his B.A. from University of California at Berkeley, M.A. and Ph.D. from University of California at Santa Barbara, and completed a three-year post-doctoral appointment at Dartmouth College. He is currently an assistant professor in Cal Poly’s philosophy department and an ethics fellow at the U.S. Naval Academy.
Sparking Our Neural Humanity - M. A. Greenstein - H+ Summit - Humanity+Humanity Plus
M. A. Greenstein, an internationally recognized commentator, researcher and coach on best and future practices for "opening the doors of perception". Based in L. A. with networked alliances throughout the AsiaPacific region, she founded The George Greenstein Institute and the future-focused e-zine BODIES IN SPACE to advance global change in designing creative and holistic learning systems as well as to encourage progressive leadership in related issues of neurotech innovation and designing sustainable lifestyles. Dedicated to BIG THINKING energized by visionary "sci-art" and anchored by S.I.T. (Somatic Intelligence Training), Dr. G is a whole-brain systems generator who privileges "interoception" as a search engine for catapulting & mapping best design images and ideas.
An Adjunct Associate Professor at Art Center College of Design, Dr. G. is also member of TED, Mindshare.la, The Neuroleadership Institute and in alliance with the Society for Neuroscience and the Neurotechnology Industry Organization.
Democratizing The Genome - Melanie Swan - H+ Summit @ HarvardHumanity Plus
Exponential declines in the cost of human genome sequencing is starting to put applications in the hands of researchers and consumers that were only dreamt of previously. Individuals are starting to have access to their own genomic data which can be actionable in a variety of ways including drug response, health condition analysis, athletic capability, and ancestry. DIYgenomics is a new platform bringing citizen scientists together to run peer cohort research studies and conduct novel research linking genetic data and physical biomarkers. Some norms are developing in response to the variety of community-based research issues that arise such as adaptive studies, informed consent, security, anonymity, and study design.
Melanie Swan is a genomics researcher, hedge fund manager, and leader in the Health 2.0 movement. Recent publications include “Multigenic Condition Risk Assessment in Direct-to-Consumer Genomic Services,” “Engineering Life into Technology,” and “Emerging Patient-Driven Health Care Models.” She serves as an advisor to research foundations, government agencies, corporations, and startups. Melanie has an MBA from the Wharton School of the University of Pennsylvania and a BA from Georgetown University. She is an advisor and faculty member at Singularity University.
Altered Carbon - Andrew Hessel - H+ Summit @ HarvardHumanity Plus
Andrew Hessel is an outspoken advocate and champion of DNA technologies, catalyzing new project developments, investment, and relationships in synthetic biology and bioengineering. His overarching message is that biology is poised to become the IT industry of the 21st century, fueled by a new generation of young researchers and entrepreneurs armed with technologies like DNA sequencing and synthesis that are becoming exponentially more powerful yet increasingly inexpensive. The possible applications are virtually limitless and include the typical global challenges (sustainable fuel production, environmental remediation, and better diagnosis treatment of human disease) but also extend into new, uncharted scientific territories. His popular lectures at the Singularity University and his visioning work reinforce that the foundations for this new industry are already in place, that it will grow explosively once the first few killer applications find commercial success, and that it will change the world, and humanity itself, in profound yet perhaps evolutionary necessary ways.
Do We Click? - Laurent Silbert - H+ Summit @ HarvardHumanity Plus
Do we click?
Speaker-listener neural coupling underlies successful communication
Verbal communication enables us to directly convey information across brains, independent of the actual external state of affairs (e.g. telling a story of past events). Such phenomenon may be reflected in the ability of the speaker to directly induce similar brain patterns in another individual, via speech, in the absence of any other stimulation. The recording of the neural responses from both the speaker brain and the listener brain opens a new window into the neural basis of interpersonal communication, and may be used to assess verbal and non-verbal forms of interaction in both human and other model systems. Further understanding of the neural processes that facilitate neural coupling across interlocutors may shed light on the mechanisms by which our brains interact and bind to form societies.
The capacity to communicate internal thoughts from one person to another is at the foundation of human society. Communication naturally requires an interaction between at least two people. Existing neurolinguistic studies are concerned, however, either with speech production or with the comprehension of isolated words or sentences. Little is known, therefore, about the underlying neuronal mechanism that facilitates the transfer of information between two brains during communication.
Understanding the interaction between a speaker’s brain and a listener’s brain in the context of real-world communication requires the development of new experimental paradigms. Using function Magnetic Resonance Imaging (fMRI), we measured neural signals from two brains (a speaker and a listener) during a complex everyday communication. We then built a simple, interpretable model that leverages the dynamics of fMRI and uses the speaker’s brain responses as a model for predicting the brain responses within the listener. Our model reveals that during successful communication, the speaker and listener’s brains exhibit joint, temporally coupled, response patterns. Such speaker-listener neural coupling vanishes when participants fail to communicate (such as with different languages). The temporal nature of this speaker-listener coupling suggests that an ability to evoke similar brain patterns in another individual via speech may gate our communication abilities. Moreover, while in most areas the listeners’ brain responses mirror the speaker’s responses with a delay, some areas in the listeners’ brain exhibit predictive anticipatory responses. Finally, we found that the extent of the anticipatory neuronal coupling between interlocutors is predictive of communicative success.
Currently a PhD candidate in Neuroscience from Princeton University, Silbert also has a Bachelors from University of Pennsylvania (Biology and Photography), Masters in Neuroscience from Mt. Sinai School of Medicine, and Masters in Psychology from NYU.
HACCP as a Lifespan Extension Management System - Morris Johnson - H+Summit @...Humanity Plus
HACCP , a comprehensive self-directed management system which is used to ensure food and pharmaceutical safety can be readily adapted to personalized healthspan and lifespan plan creation and implementation. Preventative, regenerative, enhancement, crisis-management and palliative medicine incorporated into the 12 step HACCP management system life-cycle can manage hazards which contribute to finite lifespan and reduced healthspan by managing 8 critical control domains. Hazard analysis of 6 management domains, including 8 moral hazard sub-domains can empower individuals to create their own personal longevity dividend. It is asserted that the profitability of statistically compliant mortality creates an economic incentive which undermines efforts to shift the global economic paradigm to one which encourages extreme healthspan and lifespan. Adaptation of universally accepted HACCP methodologies can drive transhumanism's fundamental principles and the concept of universally accessible extreme lifespan into mainstream acceptance.
Born at Radville , Saskatchewan 21 Sept , 1955."Citizen scientist" and Chief Technology Officer of Lifespan Pharma Inc. Since 1973 made a career of farming, trucking, oilfield industry work and entrepreneurial business. 1977-79 Director on the board of Bison-Hybrid International Association. 1978 to present time active in public policy development with the Saskatchewan NDP; Provincial Election Candidate for NDP in the Estevan Constituency in the 2007 election. 1982 organized, founded and served as president of the Canadian Bison Association. 2006 acquired a certificate in HACCP system creation and system management from the Food Centre on the University of Saskatchewan Campus. 2006 completed "Longevity Dividend" course directed by James Hughes, IEET. 2005 founded Lifespan Pharma Incorporated, a company which is commercializing a patent and trademarks as well as trade secrets for producing and marketing a new food supplement ingredient CANTERPENE.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
4. The
Law
of
Accelerating
Returns
An
analysis
of
the
history
of
technology
shows
that
technological
change
is
exponential,
contrary
to
the
common-‐sense
"intuitive
linear"
view.
4
5. The
Law
of
Accelerating
Returns
So
we
won’t
experience
100
years
of
progress
in
the
21st
century
–
it
will
be
more
like
20,000
years
of
progress
(at
today’s
rate).
5
12. Exponential
vs
Linear
Growth
An
ongoing
exponential
sequence
made
up
of
a
cascade
The
same
exponential
sequence
Linear
vs
Exponential
Growth of
S-‐curves
on
a
linear
plot of
S-‐curves
on
a
logarithmic
plot
12
13. INFORMATION
TECHNOLOGIES
(OF
ALL
KINDS)
DOUBLE
THEIR
POWER
ABOUT
(PRICE
PERFORMANCE,
CAPACITY,
BANDWIDTH)
EVERY
YEAR
13
14. A
Personal
Experience
Measure
MIT’s
IBM
7094
Notebook
Circa
2003
Year 1967 2003
Processor
Speed
(MIPS) 0.25 1,000
Main
Memory
(K
Bytes) 144 256,000
Approximate
Cost
(2003
$) $11,000,000 $2,000
24
Doublings
of
Price-‐Performance
in
36
years,
doubling
time:
18
months
not
including
vastly
greater
RAM
memory,
disk
storage,
instruction
set,
etc.
14
15. Moore’s
Law
is
only
one
example
Exponential
Growth
of
Computing
for
110
Years
Moore's
Law
was
the
fifth,
not
the
first,
paradigm
to
bring
exponential
growth
in
computing
Logarithmic
Plot
Year
15
22. Doubling
(or
Halving
times)
• Dynamic RAM Memory “Half Pitch” Feature Size 5.4 years
• Dynamic RAM Memory (bits per dollar) 1.5 years
• Average Transistor Price 1.6 years
• Microprocessor Cost per Transistor Cycle 1.1 years
• Total Bits Shipped 1.1 years
• Processor Performance in MIPS 1.8 years
• Transistors in Intel Microprocessors 2.0 years
• Microprocessor Clock Speed 2.7 years
22
32. The
exponential
growth
of
computing
is
a
marvelous
quantitative
example
of
the
exponentially
growing
returns
from
an
evolutionary
process.
We
can
express
the
exponential
growth
of
computing
in
terms
of
its
accelerating
pace:
it
took
90
years
to
achieve
the
first
MIPS
per
1000
dollars;
now
we
add
1.2
MIPS
per
1000
dollars
every
hour. Logarithmic
Plot
Year
32
34. The
(converging)
Sources
of
the
Templates
of
Intelligence
AI
research
Reverse
Engineering
the
Brain
Research
into
performance
of
the
brain
(human
thought)
Language:
an
ideal
laboratory
for
studying
human
ability
for
hierarchical,
symbolic,
recursive
thinking
All
of
these
expand
the
AI
tool
kit
34
38. “Now, for the first time,
we are observing the brain
at work in a global
manner with such clarity
that we should be able to
discover the overall
programs behind its
magnificent powers.”
-‐-‐
J.G.
Taylor,
B.
Horwitz,
K.J.
Friston
38
39. Ways
the
brain
differs
from
a
conventional
computer:
Very
few
cycles
available
to
make
decisions
Massively
parallel:
100
trillion
interneuronal
connections
Combines
digital
&
analog
phenomena
at
every
level
Nonlinear
dynamics
can
be
modeled
using
digital
computation
to
any
desired
degree
of
accuracy
Benefits
of
modeling
using
transistors
in
their
analog
native
mode
39
40. Ways
the
brain
differs
from
a
conventional
computer:
The
brain
is
self-‐organizing
at
every
level
Great
deal
of
stochastic
(random
within
controlled
constraints)
process
in
every
aspect
Self-‐organizing,
stochastic
techniques
are
routinely
used
in
pattern
recognition
Information
storage
is
holographic
in
its
properties
40
41. The
brain’s
design
is
a
manageable
level
of
complexity
Only
about
20
megabytes
of
compressed
design
information
about
the
brain
in
the
genome
A
brain
has
~
billion
times
more
information
than
the
genome
that
describes
its
design
The
brain’s
design
is
a
probabilistic
fractal
We’ve
already
created
simulations
of
~
20
regions
(out
of
several
hundred)
of
the
brain
41
42. Models
often
get
simpler
at
a
higher
level,
not
more
complex
Consider
an
analogy
with
a
computer
We
do
need
to
understand
the
detailed
physics
of
semiconductors
to
model
a
transistor,
and
the
equations
underlying
a
single
real
transistor
are
complex.
A
digital
circuit
that
multiplies
two
numbers,
however,
although
involving
hundreds
of
transistors,
can
be
modeled
far
more
simply.
Mandelbrot
Set
Image
42
43. Modeling
Systems
at
the
Right
Level
Although
chemistry
is
theoretically
based
on
physics,
and
could
be
derived
entirely
from
physics,
this
would
be
unwieldy
and
infeasible
in
practice.
So
chemistry
uses
its
own
rules
and
models.
We
should
be
able
to
deduce
the
laws
of
thermodynamics
from
physics,
but
this
is
far
from
straightforward.
Once
we
have
a
sufficient
number
of
particles
to
call
it
a
gas
rather
than
a
bunch
of
particles,
Mandelbrot
Set solving
equations
for
each
particle
interaction
becomes
hopeless,
whereas
the
laws
of
thermodynamics
work
quite
well.
43
44. Modeling
Systems
at
the
Right
Level
The
same
issue
applies
to
the
levels
of
modeling
and
understanding
in
the
brain
–
from
the
physics
of
synaptic
reactions
up
to
the
transformations
of
information
by
neural
clusters.
Often,
the
lower
level
is
more
complex.
A
pancreatic
islet
cell
is
enormously
complicated.
Yet
modeling
what
a
pancreas
does
(in
terms
of
regulating
levels
of
insulin
and
digestive
enzymes)
Mandelbrot
Set is
considerably
less
complex
than
a
detailed
model
of
a
single
islet
cell.
44
46. The
Cerebellum
The
basic
wiring
method
of
the
cerebellum
is
repeated
billions
of
times.
It
is
clear
that
the
genome
does
not
provide
specific
information
about
each
repetition
of
this
cerebellar
structure
but
rather
specifies
certain
constraints
as
to
how
this
structure
is
repeated
just
as
the
genome
does
not
specify
the
exact
location
of
cells
in
other
organs,
such
the
location
of
each
pancreatic
Islet
cell
in
the
pancreas
46
47. The
Cerebellum
Gathering
data
from
multiple
studies,
Javier
F.
Medina,
Michael
D.
Mauk,
and
their
colleagues
at
the
University
of
Texas
Medical
School
devised
a
detailed
bottom-‐up
simulation
of
the
cerebellum.
Their
simulation
includes
over
10,000
simulated
neurons
and
300,000
synapses,
and
includes
all
of
the
principal
types
of
cerebellum
cells.
47
49. Law
of
Accelerating
Returns
is
Driving
Economic
Growth
The
portion
of
a
product
or
service’s
value
comprised
of
information
is
asymptoting
to
100%
The
cost
of
information
at
every
level
incurs
deflation
at
~
50%
per
year
This
is
a
powerful
deflationary
force
Completely
different
from
the
deflation
in
the
1929
Depression
(collapse
of
consumer
confidence
&
money
supply)
49
57. Emerging
nanotechnology
will
accelerate
progress
of
cost
of
solar
panels
and
storage
–
fuel
cells
Tipping
point
(cost
per
watt
less
than
oil
and
coal)
expected
within
5
years
Progress
on
thermo-‐solar
Doubling
time
for
watts
from
solar
<
2
years
We
are
less
than
10
doublings
from
meeting
100%
of
the
world’s
energy
needs
57
58. Linear
Plot
Logarithmic
Plot
Linear
Plot
Logarithmic
Plot
58
59. Linear
Plot Linear
Plot
Linear
Plot Linear
Plot
59
60. Contemporary
examples
of
self-‐organizing
systems
The
bulk
of
human
intelligence
is
based
on
pattern
recognition:
the
quintessential
example
of
self-‐
organization
60
61. Contemporary
examples
of
self-‐organizing
systems
Machines
are
rapidly
improving
in
pattern
recognition
Progress
will
be
accelerated
now
that
we
have
the
tools
to
reverse
engineer
the
brain
Human
pattern
recognition
is
limited
to
certain
types
of
patterns
(faces,
speech
sounds,
etc.)
Machines
can
apply
pattern
recognition
to
any
type
of
pattern
Humans
are
limited
to
a
couple
dozen
variables,
machines
can
consider
thousands
simultaneously
61
64. 2010:
Computers
disappear
Images
written
directly
to
our
retinas
Ubiquitous
high
bandwidth
connection
to
the
Internet
at
all
times
Electronics
so
tiny
it’s
embedded
in
the
environment,
our
clothing,
our
eyeglasses
Full
immersion
visual-‐auditory
virtual
reality
Augmented
real
reality
Interaction
with
virtual
personalities
as
a
primary
interface
Effective
language
technologies
64
66. 2029:
An
intimate
merger
$1,000
of
computation
=
1,000
times
the
human
brain
Reverse
engineering
of
the
human
brain
completed
Computers
pass
the
Turing
test
Nonbiological
intelligence
combines
the
subtlety
and
pattern
recognition
strength
of
human
intelligence,
with
the
speed,
memory,
and
knowledge
sharing
of
machine
intelligence
Nonbiological
intelligence
will
continue
to
grow
exponentially
whereas
biological
intelligence
is
effectively
fixed
66
67. Nanobots
provide…
Neural
implants
that
are:
Noninvasive,
surgery-‐free
Distributed
to
millions
or
billions
of
points
in
the
brain
Full-‐immersion
virtual
reality
incorporating
all
of
the
senses
You
can
be
someone
else
“Experience
Beamers”
Expansion
of
human
intelligence
Multiply
our
100
trillion
connections
many
fold
Intimate
connection
to
diverse
forms
of
nonbiological
intelligence
67
68. Average
Life
Expectancy
(Years)
Cro Magnon 18
Ancient Egypt 25
1400 Europe 30
1800 Europe & 37
U.S.
1900 U.S. 48
2002 U.S. 78
68
71. The
Criticism
from
Malthus
“Exponential
trends
can’t
go
on
forever”
(rabbits
in
Australia…)
Law
of
accelerating
returns
applies
to
information
technologies
There
are
limits
But
they’re
not
very
limiting
One
paradigm
leads
to
another….but
Need
to
verify
the
viability
of
a
new
paradigm
Molecular
computing
is
already
working
Nanotube
system
with
self-‐organizing
features
due
to
hit
the
market
next
year
Molecular
computing
not
even
needed:
strong…cheap…
AI
feasible
with
conventional
chips
according
to
ITRS
Exotic
technologies
not
needed
71
72. The
Criticism
from
software
“Software
/
AI
is
stuck
in
the
mud”
Computers
still
can’t
do…..(fill
in
the
blank)
The
history
of
AI
is
the
opposite
of
human
maturation
CMU’s
GPS
in
the
1950’s
solved
hard
adult
math
problems
(that
stumped
Russell
&
Whitehead)
But
computers
could
not
match
a
young
child
in
basic
pattern
recognition
This
is
the
heart
of
human
intelligence
Tell
the
difference
between
a
dog
and
a
cat?
72
73. The
Criticism
from
software
cont.
Hundreds
of
AI
applications
deeply
embedded
in
our
economic
infrastructure
CAD,
just
in
time,
robotic
assembly,
billions
of
$
of
daily
financial
transactions,
automated
ECG,
blood
cell
image
analysis,
email
routing,
cell
connections,
landing
airplanes,
autonomous
weapons…..
If
all
the
AI
programs
stopped….
These
were
all
research
projects
when
we
had
the
last
summit
in
1999
73
74. The
Criticism
from
software
cont.
“AI
is
the
study
of
how
to
make
computers
do
things
at
which,
at
the
moment,
people
are
better.”
-‐
Elaine
Rich
Unsolved
Problems
have
a
mystery
Intelligence
also
has
a
mystery
about
it…
As
soon
we
know
how
to
solve
a
problem,
we
no
longer
consider
it
“intelligence”
“At
first
I
thought
that
you
had
done
something
clever,
but
I
see
that
there
was
nothing
in
it,
after
all”
–
said
to
Sherlock
Holmes
“I
begin
to
think
that
I
make
a
mistake
in
explaining.”
–
Sherlock
Holmes
74
75. The
Criticism
from
software
cont.
Software
complexity
and
performance
is
improving
Especially
in
the
key
area
of
pattern
recognition
Only
recently
that
brain
reverse-‐engineering
has
been
helpful
Take
chess,
for
example
The
saga
of
Deep
Fritz
With
only
1%
of
the
computes
of
Deep
Blue,
it
was
equal
in
performance
Equal
in
computes
to
Deep
Thought
yet
it
rated
400
points
higher
on
chess
rating
(a
log
scale)
How
was
this
possible:
Smarter
pattern
recognition
software
applied
to
terminal
leaf
pruning
in
minimax
algorithm
Or
autonomous
vehicles….and
weapons
75
76. The
Criticism
from
software
cont.
Genetic
Algorithms
Good
laboratory
for
studying
evolution
More
intelligence
from
less
GA’s
have
become
more
complex,
more
capable
Evolving
the
means
of
evolving
Not
just
evolving
the
content
of
the
genetic
code
but
adding
new
genes
Reassigning
the
interpretation
of
genes
Using
codes
to
control
gene
expression
Means
to
overcome
over
fitting
to
spurious
data
Larger
genomes
But
GA’s
are
not
a
silver
bullet
One
self-‐organizing
technique
of
many
76
77. The
Criticism
from
software
cont.
Military
technology:
steady
increase
of
sophisticated
autonomous
weapons
Software
productivity
exponentially
increasing
Algorithms
getting
more
sophisticated
(e.g.,
search,
autocorrelation,
compression,
wavelets)
Measures
of
software
complexity
(log
scale)
increasing
steadily
Combined
impact
of:
Increasingly
complex
pattern
recognition
methods
Starting
to
be
influenced
by
biologically
inspired
paradigms
Vast
data
mining
not
feasible
just
7
years
ago
77
78. The
criticism
from
reliability
“Software
is
too
brittle,
too
crash
prone”
(Jaron
Lanier,
Thomas
Ray)
We
CAN
(and
do)
create
reliable
software
Intensive
care,
911,
landing
airplanes
No
airplane
has
crashed
due
to
software
crashes
despite
software
being
responsible
for
most
landings
Decentralized
self-‐organizing
systems
are
inherently
stable
The
downtime
for
the
Internet
over
the
last
decade
is
zero
seconds
78
79. The
criticism
from
the
complexity
of
brain
processing
The
complexity
of
all
the
nonlinearities
(ion
channels,
etc)
in
the
brain
is
too
complex
for
our
technology
to
model
(according
to
Anthony
Bell,
Thomas
Ray)
According
to
Thomas
Ray,
strong
AI
will
need
“billions
of
lines
of
code”
But
the
genome
has
only
30-‐100
million
bytes
of
compressed
code
The
Brain
is
a
recursive
probabilistic
fractal
Example:
The
Cerebellum
79
80. The
criticism
from
micro
tubules
and
quantum
computing
Human
thinking
requires
quantum
computing
and
that
is
only
possible
in
biological
structures
(i.e.,
tubules)
(according
to
Roger
Penrose)
No
evidence
that
quantum
computing
takes
places
in
the
tubules
Human
thinking
does
not
show
quantum
computing
capabilities
Even
if
it
were
true,
it
would
not
be
a
barrier
Would
just
show
that
quantum
computing
is
feasible
Nothing
to
restrict
it
to
biological
structures
80
81. The
criticism
from
Ontology
John
Searle’s
Chinese
Room:
“Because
the
program
is
purely
formal
or
syntactical
and
because
minds
have
mental
or
semantic
contents,
any
attempt
to
produce
a
mind
purely
with
computers
programs
leaves
out
the
essential
features
of
the
mind.”
–
John
Searle
Searle
ignores
the
emergent
features
of
a
complex,
dynamic
system
Can
apply
Searle’s
argument
to
show
that
the
human
brain
“has
no
understanding”
81
82. Promise
versus
Peril
GNR
enables
our
creativity
and
our
destructiveness
Ethical
guidelines
do
work
to
protect
against
inadvertent
problems
30
year
success
of
Asilomar
Guidelines
82
83. Promise
versus
Peril
cont.
So
what
about
advertent
problems
(asymmetric
warfare)?
Designer
pathogens,
self-‐replicating
nanotech,
unfriendly
AI
(Yudkowsky)….
So
maybe
we
should
relinquish
these
dangerous
technologies?
3
problems
with
that:
Would
require
a
totalitarian
system
Would
deprive
the
world
of
profound
benefits
Wouldn’t
work
Would
drive
dangerous
technologies
underground
Would
deprive
responsible
scientists
of
the
tools
needed
for
defense
83
84. Promise
versus
Peril
cont.
So
how
do
we
protect
ourselves?
Narrow
relinquishment
of
dangerous
information
Invest
in
the
defenses….
84
85. New York Times Op-Ed "Recipe for Destruction," by
Ray Kurzweil and Bill Joy, October 17, 2005
85
86. “Enough”
“Is
it
possible
that
our
technological
reach
is
very
nearly
sufficient
now?
That
our
lives,
at
least
in
the
West,
are
sufficiently
comfortable.”
(Bill
McKibben)
My
view:
not
until
we…
can
meet
our
energy
needs
through
clean,
renewable
methods
(which
nanotech
can
provide)
overcome
disease….
…and
death
overcome
poverty,
etc.
Only
technology
–
advanced,
nanoscale,
distributed,
decentralized,
self-‐organizing,
increasingly
intelligent
technology
–
has
the
scale
to
overcome
these
problems.
86
87. “Enough”
Okay,
let’s
say
that
overcoming
disease
is
a
good
thing,
but
perhaps
we
should
stop
before
transcending
normal
human
abilities….
So
just
what
is
normal?
Going
beyond
“normal”
is
not
a
new
story.
Most
of
the
audience
wouldn’t
be
here
if
life
expectancy
hadn’t
increased
(the
rest
of
you
would
be
senior
citizens)
We
are
the
species
that
goes
beyond
our
limitations
We
need
not
define
human
by
our
limitations
“Death
gives
meaning
to
life…and
to
time”
But
we
get
true
meaning
from
knowledge:
art,
music,
science,
technology
87
88. “Enough”
Scientists:
“We
are
not
unique”
Universe
doesn’t
revolve
around
the
Earth
We
are
not
descended
from
the
Gods
But
from
apes….worms….bacteria…dust
But
we
are
unique
after
all
We
are
the
only
species
that
creates
knowledge….art,
music,
science,
technology…
Which
is
expanding
exponentially
88
89. So
is
the
take-‐off
hard
or
soft?
Exponential
growth
is
soft…
Gradual…
Incremental…
Smooth…
Mathematically
identical
at
each
point…
But
ultimately,
profoundly
transformative
89