QUANTA

Friday, August 31, 2012


“…A man will be imprisoned in a room with a door that’s unlocked and opens inwards, as long as it does not occur to him to pull rather than push…” ─Ludwig Wittgenstein



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“…Where there is joy, there is creation…” ─The Upanishads



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Wednesday, August 22, 2012


FUTURE OWNERSHIP?

“…the future belongs not to those who possess a crystal ball, but to those willing to challenge the biases and prejudices of the 'establishment.’ The future belongs more to the unorthodox than it does to the prognosticators, more to the movement than to the starry-eyed…” ─Gary Hamel


Global Source and/or and/or more resources and/or read more: http://goo.gl/HKcYU ─ Publisher and/or Author and/or Managing Editor:__Andres Agostini ─ @Futuretronium at Twitter! │ Futuretronium Supranational Initiative │ Futuretronium Book at http://goo.gl/JujXk ─ www.FUTURE-OBSERVATORY.blogspot.com

Ralph Waldo Emerson once wrote, “…There are always two parties, the party of the past and the party of the future; the establishment and the movement...”



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CRAFTING THE FUTURE?

“…Objectives are not fate; they are direction. They are not commands; they are commitments. They do not determine the future; they are means to mobilize the resources and energies of the business for the making of the future…” ─Peter Drucker



Global Source and/or and/or more resources and/or read more: http://goo.gl/HKcYU ─ Publisher and/or Author and/or Managing Editor:__Andres Agostini ─ @Futuretronium at Twitter! │ Futuretronium Supranational Initiative │ Futuretronium Book at http://goo.gl/JujXk ─ www.FUTURE-OBSERVATORY.blogspot.com

Tuesday, August 21, 2012

“…A man only becomes wise when he begins to calculate the approximate depth of his ignorance…” ─Gian Carlo Menotti


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“…Those who cannot change their minds cannot change anything…” ─George Bernard Shaw



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“…My belief is that every good cause is worth some inefficiency…” ─Paul Samuelson


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Tuesday, August 7, 2012

NASA’s new Mars Rover sends higher-resolution image

About two hours after landing on Mars and beaming back its first image, NASA’s Curiosity rover transmitted a higher-resolution image of its new Martian home, Gale Crater.

“Curiosity’s landing site is beginning to come into focus,” said John Grotzinger, project manager of NASA’s Mars Science Laboratory mission, at the California Institute of Technology in Pasadena.

“In the image, we are looking to the northwest. What you see on the horizon is the rim of Gale Crater. In the foreground, you can see a gravel field. The question is, where does this gravel come from? It is the first of what will be many scientific questions to come from our new home on Mars.”

Curiosity landed at 10:32 p.m. Aug. 5, PDT, (1:32 a.m. EDT, Aug. 6) near the foot of a mountain three miles (about five kilometers) tall inside Gale Crater, 96 miles (nearly 155 kilometers) 7in diameter.

During a nearly two-year prime mission, the rover will investigate whether the region has ever offered conditions favorable for microbial life, including the chemical ingredients for life.


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Monday, August 6, 2012

Mahatma Gandhi once wrote on “The Roots of Violence”:

Wealth without work.
Pleasure without conscience.
Knowledge without character.
Commerce without morality.
Science without humanity.
Worship without sacrifice.
Politics without principles.


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Tuesday, July 31, 2012

“…Technology and ideology are shaking the foundations of twenty-first-century capitalism. Technology is making skills and knowledge the only sources of sustainable strategic advantage…” ─Lester Thurow


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“…We have lingered long enough on the shores of the cosmic ocean. We are ready at last to set sail for the stars…” ─Carl Sagan


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Why graphene may be the substrate for the next generation of computer chips

Sandwiching individual graphene sheets between insulating layers to produce electrical devices with unique new properties could open up a new dimension of physics research

Wonder material graphene is a two-dimensional material consisting of a single layer of carbon atoms arranged in a honeycomb or chicken wire structure. It is the thinnest material in the world and yet is also one of the strongest. It conducts electricity as efficiently as copper and outperforms all other materials as a conductor of heat.

Now University of Manchester scientists have shown that a new side-view imaging technique can be used to visualize the individual atomic layers of graphene within the devices they have built. They found that the structures were almost perfect — even when more than 10 different layers were used to build the stack.

This surprising result indicates that the latest techniques of isolating graphene could be a huge leap forward for engineering at the atomic level, the scientists say, and gives more weight to graphene’s suitability as a major component in the next generation of computer chips.

The scientists note that the field has expanded beyond studying graphene as isolated 2D crystals. There is a rapidly growing interest in atomic-scale heterostructures made from a combination of alternating layers of graphene, hexagonal boron-nitride (hBN), MoS2, and so on. Such heterostructures provide a higher electronic quality for lateral graphene devices and also allow a conceptually new degree of flexibility in designing electronic, optoelectronic,  micromechanical and other devices..

Side-view imaging

The researchers’ side-view imaging approach works by first extracting a thin slice from the center of the device. This is similar to cutting through a rock to reveal the geological layers or slicing into a chocolate cake to reveal the individual layers of icing.

The scientists used a beam of ions to cut into the surface of the graphene and dig a trench on either side of the section they wanted to isolate. They then removed a thin slice of the device.

“The difference is that our slices are only around 100 atoms thick and this allows us to visualize the individual atomic layers of graphene in projection,” said Dr. Sarah Haigh from The University of Manchester’s School of Materials.

“We have found that the observed roughness of the graphene is correlated with their conductivity. Of course we have to make all our electrical measurements before cutting into the device. We were also able to observe that the layers were perfectly clean and that any debris left over from production segregated into isolated pockets and so did not affect device performance.

“We plan to use this new side view imaging approach to improve the performance of our graphene devices.”

Demonstrating its remarkable properties won Professor Andre Geim and Professor Kostya Novoselov the Nobel prize for Physics in 2010. The University of Manchester is building a state-of-the-art National Graphene Institute to continue to lead the way in graphene research.




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 Chronic 2000-04 drought, worst in 800 years, may be the ‘new normal’

The chronic drought that hit western North America from 2000 to 2004 left dying forests and depleted river basins in its wake and was the strongest in 800 years, scientists have concluded, but they say those conditions will become the “new normal” for most of the coming century.

Such climatic extremes have increased as a result of global warming, a group of 10 researchers reported Sunday in Nature Geoscience. And as bad as conditions were during the 2000-04 drought, they may eventually be seen as the good old days.

Climate models and precipitation projections indicate this period will actually be closer to the “wet end” of a drier hydroclimate during the last half of the 21st century, scientists said.

Aside from its impact on forests, crops, rivers and water tables, the drought also cut carbon sequestration by an average of 51 percent in a massive region of the western United States, Canada and Mexico, although some areas were hit much harder than others. As vegetation withered, this released more carbon dioxide into the atmosphere, with the effect of amplifying global warming.

“Climatic extremes such as this will cause more large-scale droughts and forest mortality, and the ability of vegetation to sequester carbon is going to decline,” said Beverly Law, a co-author of the study, professor of global change biology and terrestrial systems science at Oregon State University, and former science director of AmeriFlux, an ecosystem observation network.

“During this drought, carbon sequestration from this region was reduced by half,” Law said. “That’s a huge drop. And if global carbon emissions don’t come down, the future will be even worse.”

This research was supported by the National Science Foundation, NASA, U.S. Department of Energy, and other agencies. The lead author was Christopher Schwalm at Northern Arizona University. Other collaborators were from the University of Colorado, University of California at Berkeley, University of British Columbia, San Diego State University, and other institutions.

It’s not clear whether or not the current drought in the Midwest, now being called one of the worst since the Dust Bowl, is related to these same forces, Law said. This study did not address that, and there are some climate mechanisms in western North America that affect that region more than other parts of the country.

But in the West, this multi-year drought was unlike anything seen in many centuries, based on tree ring data. The last two periods with drought events of similar severity were in the Middle Ages, from 977-981 and 1146-1151. The 2000-04 drought affected precipitation, soil moisture, river levels, crops, forests and grasslands.

Ordinarily, Law said, the land sink in North America is able to sequester the equivalent of about 30 percent of the carbon emitted into the atmosphere by the use of fossil fuels in the same region. However, based on projected changes in precipitation and drought severity, scientists said that this carbon sink, at least in western North America, could disappear by the end of the century.

“Areas that are already dry in the West are expected to get drier,” Law said. “We expect more extremes. And it’s these extreme periods that can really cause ecosystem damage, lead to climate-induced mortality of forests, and may cause some areas to convert from forest into shrublands or grassland.”

During the 2000-04 drought, runoff in the upper Colorado River basin was cut in half. Crop productivity in much of the West fell 5 percent. The productivity of forests and grasslands declined, along with snowpacks. Evapotranspiration decreased the most in evergreen needleleaf forests, about 33 percent.

The effects are driven by human-caused increases in temperature, with associated lower soil moisture and decreased runoff in all major water basins of the western U.S., researchers said in the study.

Although regional precipitations patterns are difficult to forecast, researchers in this report said that climate models are underestimating the extent and severity of drought, compared to actual observations. They say the situation will continue to worsen, and that 80 of the 95 years from 2006 to 2100 will have precipitation levels as low as, or lower than, this “turn of the century” drought from 2000-04.

“Towards the latter half of the 21st century the precipitation regime associated with the turn of the century drought will represent an outlier of extreme wetness,” the scientists wrote in this study.

These long-term trends are consistent with a 21st century “megadrought,” they said.



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Microsoft tech to control computers with a flex of a finger

In the future, Microsoft apparently believes, people may simply twitch their fingers or arms to control a computer, game console or mobile device, ReadWriteWeb reports.

Microsoft applied for a patent on electromyography (EMG) controlled computing on Thursday, suggesting that a future smart wristwatch or armband might simply detect a user’s muscle movements and interpret them as gestures or commands.

The “Wearable Electromyography-Based Controller” could also use a network of small sensors attached to the body, all communicating wirelessly with a central hub.

Microsoft also showed off a prototype of an EMG controller in 2010, and has filed complementary EMG controller patents as well as a patent covering the gestures used to control them.

But EMG-based computing does imply several interesting possibilities: the ability to type without a keyboard; wiggling a finger, rather than an arm, to provide fine-grained Kinect controls; or new ways to control “waldos” and other robotic appendages. Microsoft even suggests that a glove-based version of the EMG controller might be used to automatically translate American Sign Language into written or spoken English or other languages. That’s pretty cool.

Microsoft’s patent application claims that an EMG sensor is a “universal” method of controlling any computing device, such as a television or light sensor. That may be true, although something like voice commands could also control just about anything.


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A Casimir chip that exploits the vacuum energy

University of Florida researchers have have developed a way to keep objects flat enough to measure the strange Casimir force, which pushes two parallel conducting plates together when they are just a few dozen nanometers apart,  Technology Review Physics arXiv Blog reports.

They carved a single device out of silicon that is capable of measuring the Casimir force between a pair of parallel silicon beams, the first on-chip device capable of doing this.

The device consists of one fixed beam and another moveable one attached to an electromechanical actuator. Other shapes should be possible to manufacture too. “This scheme opens the possibility of tailoring the Casimir force using lithographically defined components of non-conventional shapes,” the researchers say.

So instead of being hindered by uncontrollable Casimir forces, the next generation of microelectromechanical devices should be able to  exploit them, perhaps to make stictionless bearings, springs and even actuators.

Microscopes for viewing nanoscale devices

Monitoring these kind of ultra-small nanoscale devices requires special microscopes, such as the scanning electron microscope (SEM), which images a sample by scanning it with a beam of electrons. (The Casimir device image above is an example of an SEM image).

An SEM can produce very high-resolution images of a sample surface, revealing details less than 1 nanometer in size (the size of small biomolecules).

FEI has just announced the new Verios XHR SEM, which provides the sub-nanometer resolution and enhanced contrast needed for precise measurements in materials science and advanced semiconductor manufacturing applications.

An even higher-resolution microscope is the transmission electron microscope (TEM), with a resolution of 0.5 Angstroms (.05 nm). An example of a TEM image is shown in this news item today on graphene layers.

Another type of nanoscale microscope is the atomic force microscope (AFM). It has several advantages over the 2D SEM; it provides a 3D surface profile, for example. It also has disadvantages: it doesn’t allow for large scanned images, and is very slow, for example.

Nonetheless, AFMs are vital tools in nanotechology, and nanoHUB.org has just announced a two-part, web-based course covering the principles and practice of  atomic force microscopy.


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FDA OK’s ingestible sensor chip

Chip tracks adherence to oral medications, can report to caregiver

Proteus Digital Health, Inc. announced Monday that the U.S. Food and Drug Administration (FDA) has cleared its ingestible sensor for marketing as a medical device.

The ingestible sensor (formally referred to as the Ingestion Event Marker or IEM) is part of the Proteus digital health feedback system, an integrated, end-to-end personal health management system designed to help improve patients’ health habits and connections to caregivers.

“The FDA validation represents a major milestone in digital medicine,” said Dr. Eric Topol, professor of genomics at The Scripps Research Institute and author of The Creative Destruction of Medicine: How the Digital Revolution Will Create Better Healthcare. Directly digitizing pills, for the first time, in conjunction with our wireless infrastructure, may prove to be the new standard for influencing medication adherence and significantly aid chronic disease management,”

The Proteus ingestible sensor can be integrated into an inert pill or other ingested products, such as pharmaceuticals. Once the ingestible sensor reaches the stomach, it is powered by contact with stomach fluid and communicates a unique signal that determines identity and timing of ingestion.

This information is transferred through the user’s body tissue to a patch worn on the skin that detects the signal and marks the precise time an ingestible sensor has been taken. Additional physiologic and behavioral metrics collected by the patch include heart rate, body position and activity.

The patch relays information to a mobile phone application. With the patient’s consent, the information is accessible by caregivers and clinicians, helping individuals to develop and sustain healthy habits, families to make better health choices, and clinicians to provide more effective, data-driven care.


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Monday, July 9, 2012

 J. Craig Venter says, “…We view the genome as the software, or even the operating system, of the cell…”


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Wednesday, July 4, 2012

CERN experiments observe particle consistent with long-sought Higgs boson

Both the ATLAS and CMS experiments at CERN observed a new particle in the mass region around 125-126 GeV, physicists announced at a seminar held at CERN today.

“We observe in our data clear signs of a new particle, at the level of 5 sigma, in the mass region around 126 GeV. The outstanding performance of the LHC and ATLAS and the huge efforts of many people have brought us to this exciting stage,” said ATLAS experiment spokesperson Fabiola Gianotti, “but a little more time is needed to prepare these results for publication.”

“The results are preliminary but the 5 sigma signal at around 125 GeV we’re seeing is dramatic. This is indeed a new particle. We know it must be a boson and it’s the heaviest boson ever found,” said CMS experiment spokesperson Joe Incandela. “The implications are very significant and it is precisely for this reason that we must be extremely diligent in all of our studies and cross-checks.”

“It’s hard not to get excited by these results,” said CERN Research Director Sergio Bertolucci. “We stated last year that in 2012 we would either find a new Higgs-like particle or exclude the existence of the Standard Model Higgs. With all the necessary caution, it looks to me that we are at a branching point: the observation of this new particle indicates the path for the future towards a more detailed understanding of what we’re seeing in the data.”

The results presented today are labelled preliminary. They are based on data collected in 2011 and 2012, with the 2012 data still under analysis.  Publication of the analyses shown today is expected around the end of July. A more complete picture of today’s observations will emerge later this year after the LHC provides the experiments with more data.

The next step will be to determine the precise nature of the particle and its significance for our understanding of the universe. Are its properties as expected for the long-sought Higgs boson, the final missing ingredient in the Standard Model of particle physics? Or is it something more exotic? The Standard Model describes the fundamental particles from which we, and every visible thing in the universe, are made, and the forces acting between them. All the matter that we can see, however, appears to be no more than about 4% of the total. A more exotic version of the Higgs particle could be a bridge to understanding the 96% of the universe that remains obscure.

“We have reached a milestone in our understanding of nature,” said CERN Director General Rolf Heuer. “The discovery of a particle consistent with the Higgs boson opens the way to more detailed studies, requiring larger statistics, which will pin down the new particle’s properties, and is likely to shed light on other mysteries of our universe.”

Positive identification of the new particle’s characteristics will take considerable time and data. But whatever form the Higgs particle takes, our knowledge of the fundamental structure of matter is about to take a major step forward.

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Friday, June 29, 2012


The Cambridge Project for Existential Risk

Many scientists are concerned that developments in human technology may soon pose new, extinction-level risks to our species as a whole. Such dangers have been suggested from progress in AI, from developments in biotechnology and artificial life, from nanotechnology, and from possible extreme effects of anthropogenic climate change. The seriousness of these risks is difficult to assess, but that in itself seems a cause for concern, given how much is at stake. 

The Cambridge Project for Existential Risk — a joint initiative between a philosopher, a scientist, and a software entrepreneur — begins with the conviction that these issues require a great deal more scientific investigation than they presently receive. Our aim is to establish within the University of Cambridge a multidisciplinary research centre dedicated to the study and mitigation of risks of this kind. We are convinced that there is nowhere on the planet better suited to house such a centre. Our goal is to steer a small fraction of Cambridge's great intellectual resources, and of the reputation built on its past and present scientific pre-eminence, to the task of ensuring that our own species has a long-term future. (In the process, we hope to make it a little more certain that we humans will be around to celebrate the University's own millenium, now less than two centuries hence.)



Global Source and/or and/or more resources and/or read more: http://goo.gl/HKcYU ─ Publisher and/or Author and/or Managing Editor:__Andres Agostini ─ @Futuretronium at Twitter! │ Futuretronium Supranational Initiative │ Futuretronium Book at http://goo.gl/JujXk ─ www.FUTURE-OBSERVATORY.blogspot.com

Wednesday, June 6, 2012

What’s The Future Of The Sharing Economy?

As technology lets us share more and more items with greater and greater convenience, how far can the sharing economy go?

In 2009, I was a student in the inaugural graduate studies program of Singularity University. There we were challenged to come up with an idea that could impact 1 billion people within 10 years. Other groups chose to use 3-D printing to build homes in the developing world and mobile phones to create a better disaster response system. We chose to improve our transportation systems by empowering people everywhere to share their cars. This eventually became Getaround.

The Evolution of Sharing

A few years ago, no one would have thought peer-to-peer asset sharing would become such a big thing. With the immense popularity of Airbnb and the emergence of thousands of other sharing companies globally, 2012 has quickly become the year of sharing. Most articles on innovation list “sharing” as a game-changing idea or the hot trend to watch.

The hitch is, there’s nothing new about sharing. Individuals have been finding ways to increase their access to goods and services for some time. You needn’t go further than Small Town, USA, for proof. Chances are good you’ll find a library, laundromat, and what used to be a video rental store. That’s all the sharing economy.

For many years, these “classic” forms of sharing were part of everyday life. Individuals relied on public institutions and private corporations to maximize our access to things we couldn’t afford or didn’t see the value in purchasing ourselves. These organizations provided a formal framework in which to share, assuming the risk of owning the shared assets while enforcing rules and guidelines for participation.

The Present

More recently, there has been a surge in peer-to-peer sharing, and formal sharing institutions are quickly becoming a thing of the past. It doesn’t require an in-depth analysis to recognize the role of technology in this shift. What started online as the sharing of information has quickly turned into a full-fledged economy, with individuals sharing their homes, cars, and skills with the help of mobile devices.

As the sharing economy grows and individuals assume the risk of sharing personal property, they are turning to technology as a way to mitigate those risks. People renting their homes through services like Airbnb are relying on social network profiles and online reputations of potential renters to gauge who they should share their home with, while services such as TaskRabbit link directly into public records that allow them to perform background checks of potential "rabbits."

Other services have been using technology as a way to provide access to shared goods. Getaround, which enables people to rent cars from people nearby, allows users to grant and gain access to idle cars through mobile phones, allowing users to share assets regardless of geographic location.

This intersection of sharing and technology has contributed to an “own less, use more” mindset, backed by environmentalists and economists alike. By skipping platforms that require the production of new assets, like car rental agencies and hotels, we--as a society--are ultimately able to produce fewer goods while still having access to a broad variety of goods and services. The potential environmental impacts are significant: When measuring carbon emissions, home sharing is 66% more effective than hotels where as car sharing participants reduce their individual emissions by 40%.

Beyond its environmental impact, the sharing economy has been recognized as a way of empowering individuals to access more while owning less, stimulating local economies by keeping money spent in the community. Furthermore, while sharing supports local businesses, it also helps to forge new social networks, creating stronger, more tightly knit communities.

The Future

Today’s sharing economy was catalyzed by the social, economic, and technological trends of our time: The proliferation of social networks and mobile technology and a demand for environmentally responsible consumer products. Moving forward, these trends will continue to shape the way people share. While it’s impossible to predict the future, there are several technological advancements and trends on the horizon that are certain to impact sharing behavior.

Recent developments in the car industry provide some excellent insight into the opportunities ahead for other common consumer products. In recent years, connected cars have been a hot topic at automotive shows around the world. To date, the consumer-facing impact of this technology has been limited to new on-board “infotainment” centers allowing owners to connect to music, maps, and news online.

But as the connected car technology continues to advance, connected cars will likely find a place in the sharing economy, connecting drivers to passengers and passengers to cars. Not only will this technology make existing services like Zimride even easier to use, but it will also encourage car owners to maximize their resources by no longer riding alone, while also making money off their assets. The self-driving car is also going to have a large impact on the personal consumption of vehicles.

As someone dedicated to changing the way the world views, owns, and interacts with cars, these automotive advancements are vital. However, the larger trend of “designing for sharing” will have a major impact on how goods are consumed.

As more products are designed to interface directly with the Internet as well as with other products, it will become easier and easier to share an increasing number of goods and services. As assets become easier to track and easier to access, the process of sharing will be streamlined and the risks will be reduced.

The sky’s the limit for the sharing economy. Consumer behavior is shifting rapidly to be more selective, conscious, and community-based. Some of the major problems caused by hyper-consumption can be avoided by sharing more, and whatever people are willing to share, a good business can form to support this new behavior.

Read more: http://goo.gl/t06Sx


Global Source and/or and/or more resources and/or read more: http://goo.gl/HKcYU ─ Publisher and/or Author and/or Managing Editor:__Andres Agostini ─ @Futuretronium at Twitter! │ Futuretronium Supranational Initiative │ Futuretronium Book at http://goo.gl/JujXk ─ www.FUTURE-OBSERVATORY.blogspot.com

Friday, June 1, 2012

In a 2010 New York Times feature on predicting the future, Ray Kurzweil, of Kurzweil’s law, said, “...It’s not just electronics and communications that follow [an] exponential course, [it’s also] health, medicine and its related field of biology...”


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Kurzweil Responds: Don't Underestimate the Singularity

Last week, Paul Allen and a colleague challenged the prediction that computers will soon exceed human intelligence. Now Ray Kurzweil, the leading proponent of the "Singularity," offers a rebuttal.

Although Paul Allen paraphrases my 2005 book, The Singularity Is Near, in the title of his essay (cowritten with his colleague Mark Greaves), it appears that he has not actually read the book. His only citation is to an essay I wrote in 2001 ("The Law of Accelerating Returns") and his article does not acknowledge or respond to arguments I actually make in the book.

When my 1999 book, The Age of Spiritual Machines, was published, and augmented a couple of years later by the 2001 essay, it generated several lines of criticism, such as Moore's law will come to an end, hardware capability may be expanding exponentially but software is stuck in the mud, the brain is too complicated, there are capabilities in the brain that inherently cannot be replicated in software, and several others. I specifically wrote The Singularity Is Near to respond to those critiques.

I cannot say that Allen would necessarily be convinced by the arguments I make in the book, but at least he could have responded to what I actually wrote. Instead, he offers de novo arguments as if nothing has ever been written to respond to these issues. Allen's descriptions of my own positions appear to be drawn from my 10-year-old essay. While I continue to stand by that essay, Allen does not summarize my positions correctly even from that essay.

Allen writes that "the Law of Accelerating Returns (LOAR). . . is not a physical law." I would point out that most scientific laws are not physical laws, but result from the emergent properties of a large number of events at a finer level. A classical example is the laws of thermodynamics (LOT). If you look at the mathematics underlying the LOT, they model each particle as following a random walk. So by definition, we cannot predict where any particular particle will be at any future time. Yet the overall properties of the gas are highly predictable to a high degree of precision according to the laws of thermodynamics. So it is with the law of accelerating returns. Each technology project and contributor is unpredictable, yet the overall trajectory as quantified by basic measures of price-performance and capacity nonetheless follow remarkably predictable paths.

If computer technology were being pursued by only a handful of researchers, it would indeed be unpredictable. But it's being pursued by a sufficiently dynamic system of competitive projects that a basic measure such as instructions per second per constant dollar follows a very smooth exponential path going back to the 1890 American census. I discuss the theoretical basis for the LOAR extensively in my book, but the strongest case is made by the extensive empirical evidence that I and others present.

Allen writes that "these 'laws' work until they don't." Here, Allen is confusing paradigms with the ongoing trajectory of a basic area of information technology. If we were examining the trend of creating ever-smaller vacuum tubes, the paradigm for improving computation in the 1950s, it's true that this specific trend continued until it didn't. But as the end of this particular paradigm became clear, research pressure grew for the next paradigm. The technology of transistors kept the underlying trend of the exponential growth of price-performance going, and that led to the fifth paradigm (Moore's law) and the continual compression of features on integrated circuits. There have been regular predictions that Moore's law will come to an end. The semiconductor industry's roadmap titled projects seven-nanometer features by the early 2020s. At that point, key features will be the width of 35 carbon atoms, and it will be difficult to continue shrinking them. However, Intel and other chip makers are already taking the first steps toward the sixth paradigm, which is computing in three dimensions to continue exponential improvement in price performance. Intel projects that three-dimensional chips will be mainstream by the teen years. Already three-dimensional transistors and three-dimensional memory chips have been introduced.

This sixth paradigm will keep the LOAR going with regard to computer price performance to the point, later in this century, where a thousand dollars of computation will be trillions of times more powerful than the human brain. [1] And it appears that Allen and I are at least in agreement on what level of computation is required to functionally simulate the human brain. [2]

Allen then goes on to give the standard argument that software is not progressing in the same exponential manner of hardware. In The Singularity Is Near, I address this issue at length, citing different methods of measuring complexity and capability in software that demonstrate a similar exponential growth. One recent study ("Report to the President and Congress, Designing a Digital Future: Federally Funded Research and Development in Networking and Information Technology" by the President's Council of Advisors on Science and Technology) states the following:

"Even more remarkable—and even less widely understood—is that in many areas, performance gains due to improvements in algorithms have vastly exceeded even the dramatic performance gains due to increased processor speed. The algorithms that we use today for speech recognition, for natural language translation, for chess playing, for logistics planning, have evolved remarkably in the past decade ... Here is just one example, provided by Professor Martin Grötschel of Konrad-Zuse-Zentrum für Informationstechnik Berlin. Grötschel, an expert in optimization, observes that a benchmark production planning model solved using linear programming would have taken 82 years to solve in 1988, using the computers and the linear programming algorithms of the day. Fifteen years later—in 2003—this same model could be solved in roughly one minute, an improvement by a factor of roughly 43 million. Of this, a factor of roughly 1,000 was due to increased processor speed, whereas a factor of roughly 43,000 was due to improvements in algorithms! Grötschel also cites an algorithmic improvement of roughly 30,000 for mixed integer programming between 1991 and 2008. The design and analysis of algorithms, and the study of the inherent computational complexity of problems, are fundamental subfields of computer science."

I cite many other examples like this in the book. [3]

Regarding AI, Allen is quick to dismiss IBM's Watson as narrow, rigid, and brittle. I get the sense that Allen would dismiss any demonstration short of a valid passing of the Turing test. I would point out that Watson is not so narrow. It deals with a vast range of human knowledge and is capable of dealing with subtle forms of language, including puns, similes, and metaphors. It's not perfect, but neither are humans, and it was good enough to get a higher score than the best two human Jeopardy! players put together.

Allen writes that Watson was put together by the scientists themselves, building each link of narrow knowledge in specific areas. Although some areas of Watson's knowledge were programmed directly, according to IBM, Watson acquired most of its knowledge on its own by reading natural language documents such as encyclopedias. That represents its key strength. It not only is able to understand the convoluted language in Jeopardy! queries (answers in search of a question), but it acquired its knowledge by reading vast amounts of natural-language documents. IBM is now working with Nuance (a company I originally founded as Kurzweil Computer Products) to have Watson read tens of thousands of medical articles to create a medical diagnostician.

A word on the nature of Watson's "understanding" is in order here. A lot has been written that Watson works through statistical knowledge rather than "true" understanding. Many readers interpret this to mean that Watson is merely gathering statistics on word sequences. The term "statistical information" in the case of Watson refers to distributed coefficients in self-organizing methods such as Markov models. One could just as easily refer to the distributed neurotransmitter concentrations in the human cortex as "statistical information." Indeed, we resolve ambiguities in much the same way that Watson does by considering the likelihood of different interpretations of a phrase.

Allen writes: "Every structure [in the brain] has been precisely shaped by millions of years of evolution to do a particular thing, whatever it might be. It is not like a computer, with billions of identical transistors in regular memory arrays that are controlled by a CPU with a few different elements. In the brain, every individual structure and neural circuit has been individually refined by evolution and environmental factors."

Allen's statement that every structure and neural circuit is unique is simply impossible. That would mean that the design of the brain would require hundreds of trillions of bytes of information. Yet the design of the brain (like the rest of the body) is contained in the genome. And while the translation of the genome into a brain is not straightforward, the brain cannot have more design information than the genome. Note that epigenetic information (such as the peptides controlling gene expression) do not appreciably add to the amount of information in the genome. Experience and learning do add significantly to the amount of information, but the same can be said of AI systems. I show in The Singularity Is Near that after lossless compression (due to massive redundancy in the genome), the amount of design information in the genome is about 50 million bytes, roughly half of which pertains to the brain. [4] That's not simple, but it is a level of complexity we can deal with and represents less complexity than many software systems in the modern world.

How do we get on the order of 100 trillion connections in the brain from only tens of millions of bytes of design information? Obviously, the answer is through redundancy. There are on the order of a billion pattern-recognition mechanisms in the cortex. They are interconnected in intricate ways, but even in the connections there is massive redundancy. The cerebellum also has billions of repeated patterns of neurons. It is true that the massively repeated structures in the brain learn different items of information as we learn and gain experience, but the same thing is true of artificially intelligent systems such as Watson.

Dharmendra S. Modha, manager of cognitive computing for IBM Research, writes: "...neuroanatomists have not found a hopelessly tangled, arbitrarily connected network, completely idiosyncratic to the brain of each individual, but instead a great deal of repeating structure within an individual brain and a great deal of homology across species ... The astonishing natural reconfigurability gives hope that the core algorithms of neurocomputation are independent of the specific sensory or motor modalities and that much of the observed variation in cortical structure across areas represents a refinement of a canonical circuit; it is indeed this canonical circuit we wish to reverse engineer."

Allen articulates what I describe in my book as the "scientist's pessimism." Scientists working on the next generation are invariably struggling with that next set of challenges, so if someone describes what the technology will look like in 10 generations, their eyes glaze over. One of the pioneers of integrated circuits was describing to me recently the struggles to go from 10 micron (10,000-nanometer) feature sizes to five-micron (5,000 nanometers) features over 30 years ago. They were cautiously confident of this goal, but when people predicted that someday we would actually have circuitry with feature sizes under one micron (1,000 nanometers), most of the scientists struggling to get to five microns thought that was too wild to contemplate. Objections were made on the fragility of circuitry at that level of precision, thermal effects, and so on. Well, today, Intel is starting to use chips with 22-nanometer gate lengths.

We saw the same pessimism with the genome project. Halfway through the 15-year project, only 1 percent of the genome had been collected, and critics were proposing basic limits on how quickly the genome could be sequenced without destroying the delicate genetic structures. But the exponential growth in both capacity and price performance continued (both roughly doubling every year), and the project was finished seven years later. The project to reverse-engineer the human brain is making similar progress. It is only recently, for example, that we have reached a threshold with noninvasive scanning techniques that we can see individual interneuronal connections forming and firing in real time.

Allen's "complexity brake" confuses the forest with the trees. If you want to understand, model, simulate, and re-create a pancreas, you don't need to re-create or simulate every organelle in every pancreatic Islet cell. You would want, instead, to fully understand one Islet cell, then abstract its basic functionality, and then extend that to a large group of such cells. This algorithm is well understood with regard to Islet cells. There are now artificial pancreases that utilize this functional model being tested. Although there is certainly far more intricacy and variation in the brain than in the massively repeated Islet cells of the pancreas, there is nonetheless massive repetition of functions.

Allen mischaracterizes my proposal to learn about the brain from scanning the brain to understand its fine structure. It is not my proposal to simulate an entire brain "bottom up" without understanding the information processing functions. We do need to understand in detail how individual types of neurons work, and then gather information about how functional modules are connected. The functional methods that are derived from this type of analysis can then guide the development of intelligent systems. Basically, we are looking for biologically inspired methods that can accelerate work in AI, much of which has progressed without significant insight as to how the brain performs similar functions. From my own work in speech recognition, I know that our work was greatly accelerated when we gained insights as to how the brain prepares and transforms auditory information.

The way that these massively redundant structures in the brain differentiate is through learning and experience. The current state of the art in AI does, however, enable systems to also learn from their own experience. The Google self-driving cars (which have driven over 140,000 miles through California cities and towns) learn from their own driving experience as well as from Google cars driven by human drivers. As I mentioned, Watson learned most of its knowledge by reading on its own.

It is true that Watson is not quite at human levels in its ability to understand human language (if it were, we would be at the Turing test level now), yet it was able to defeat the best humans. This is because of the inherent speed and reliability of memory that computers have. So when a computer does reach human levels, which I believe will happen by the end of the 2020s, it will be able to go out on the Web and read billions of pages as well as have experiences in online virtual worlds. Combining human-level pattern recognition with the inherent speed and accuracy of computers will be very powerful. But this is not an alien invasion of intelligence machines—we create these tools to make ourselves smarter. I think Allen will agree with me that this is what is unique about the human species: we build these tools to extend our own reach.

Ray Kurzweil is an inventor and author. His last piece for Technology Review was about fighting the aging process.

[1] Chapter 2, The Singularity Is Near by Ray Kurzweil, Viking, 2005.

[2] See Endnote 2 in "The Singularity Isn't Near" by Paul G. Allen and Mark Greaves.

[3] Chapter 9, The Singularity Is Near.

[4] Chapter 4, The Singularity Is Near.

 


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Wednesday, May 30, 2012

William Haseltine, a biotech pioneer, once observed, “…The nature of life is not mortality. It’s immortality. DNA is an immortal molecule. That molecule first appeared perhaps 3.5 billion years ago. That selfsame molecule, through duplication, is around today …. It’s true that we run down, but we talked about projecting way into the future the ability to alter that. First to extend our lives two- or threefold. And perhaps, if we understand the brain well enough, to extend both our body and our brain indefinitely. And I don’t think that will be an unnatural process…”


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As Nobel laureate Richard Feynman once said, “…There is nothing in biology yet found that indicates the inevitability of death. This suggests to me that is not all inevitable and that it is only a matter of time before biologists discover what it is that is causing us the trouble and that this terrible universal disease or temporariness of the human’s body will be cured…”


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Wednesday, May 9, 2012

Scientific American and The Immortal Ambitions of Ray Kurzweil: A Review of Transcendent Man

Against a swirling montage of cosmic birth and destruction, and newsreel-style stills from his personal history, the celebrated inventor and futurist Ray Kurzweil sits in silhouette, contemplating death. He broods over mortality's toll in waste and pain, and the hopelessness and loss that people must experience in their last moments of life. "It's such a profoundly sad, lonely feeling that I really can't bear it," he admits.

Then, cheerfully, he adds, "So I go back to thinking about how I'm not going to die."

That opening sequence of Transcendent Man, the new documentary by director Barry Ptolemy that profiles Kurzweil and his ideas, neatly distills the sometimes jarring predictions and preoccupations of its subject. The film is about Kurzweil's belief that within just a few decades technology will allow human beings to transcend the physical and intellectual limitations of their biology. It also paints Kurzweil as a brilliant man who has personally always risen above the skepticism and misunderstanding of his doubters.

Cleverly edited and entertaining, Transcendent Man is unfortunately also too starstruck and reverent toward Kurzweil for its own good. It wants in part to be a movie about ideas, but frustratingly, it refuses to truly challenge any of those it raises—whether supportive or critical of him. Given that the film's theme is the salvation or destruction of the human race, its lack of commitment to a perspective other than innocent wonder is unsatisfying.

Kurzweil has always been propelled by powerful ideas, as the film makes clear. A recipient of the National Medal of Technology, he has been a pioneer in optical character recognition, speech recognition and other technologies, starting with his invention of a computer that composed music when he was just 17. His study of innovation in the 1980s convinced him that what he calls a "law of accelerating returns" governs progress, meaning that technology advances at an exponentially increasing rate. (The doubling of transistors on computer chips every 18 months, widely known as Moore's law, is one example of such an increase.)

Kurzweil popularized the concept of accelerating returns in his books The Age of Intelligent Machines (MIT Press, 1990) and The Age of Spiritual Machines: When Computers Exceed Human Intelligence (Viking, 1999), in which he predicted what the consequences of that rate of progress would be in the decades to come. He revisited and doubled down on that thesis in 2005 with The Singularity Is Near (Viking), a manifesto arguing that by mid-century history would reach a "technological singularity": an inflection point when artificial and enhanced intelligences would take control of further progress and usher in a kind of earthly nirvana. Genetics, nanotechnology and robotics would put immortality, infinite resources and boundless intelligence at the disposal of humanity and its sentient creations.

Dizzying as this vision can be, Transcendent Man does a good job of introducing viewers to it through well-chosen visuals and sound bites. Director Barry Ptolemy says that when he read The Singularity Is Near, he was convinced that it was one of the most profound books ever written and that he had to make a film about it. With Kurzweil's cooperation, Ptolemy spent two years following the futurist across five continents as he went about his multiple businesses and preached the creed of exponential progress.

Notwithstanding Kurzweil's certainty, many people are unpersuaded by his ideas—particularly in some of the medical and technical fields that he says will soon be transformed, and even among thinkers who respect him otherwise. As Neil Gershenfeld, director of the Center for Bits and Atoms at the Massachusetts Institute of Technology, remarks on camera, "What Ray does consistently is to take a whole bunch of steps that everybody agrees on and take principles for extrapolating that everybody agrees on and show they lead to things that nobody agrees on," because "they just seem crazy."

As seen in the film, Kurzweil's response to those who don't share his perspective on technologically enhanced transcendence, particularly on the life-extension topic, is not unkind but patronizing. He realizes, he says, that people feel "threatened" by these ideas but that they will eventually accept the incremental realizations of that progress. He never seems to credit that well-informed people might disagree or disapprove of his views for reasons that have nothing to do with their own fallibility or weakness—but rather that they might be right and he might be wrong.

Similarly, Kurzweil views his own rejection of death as the only appropriate response. People who say they have learned to accept mortality are fooling themselves, he tells the camera; society numbly glorifies death because it has surrendered to it. The possibility that Kurzweil's stubborn disdain for death might spring from neurotic denial rather than from intellectual independence is apparently absurd to him.

Indeed, Kurzweil's attitude toward the idea of his own fallibility was on display in the question-and-answer session after the New York City screening of Transcendent Man. An audience member asked him about what he had gotten wrong over the years. Kurzweil mentioned that he had recently written a 150-page review of his predictions to date and concluded that about 86 percent of them were correct. (Disclosure: having taken my own look at his predictions, I have a rather different assessment—see here, here and here.) Pressed to name something he had gotten wrong, Kurzweil mentioned that he had predicted self-piloting cars to be common by now. But he hastened to point to out Google had recently tested its own autonomous vehicles that had driven themselves over 225,000 kilometers on busy roads, which meant that such vehicles would indeed be coming, just not for a few more years.

That is Kurzweil's view of his failures in a nutshell: to him, his errors are simply predictions for which essential correctness has not yet been demonstrated.

Kurzweil's manner—undemonstrative, measured, confidently detached—can seem cold, especially when he talks so matter-of-factly about shucking off the human condition as we know it. With good reason, the filmmakers work to find the warmer, quirkier soul inside Kurzweil—and to some degree they succeed. They reveal the inventor and futurist as a loving family man who has worn a Mickey Mouse watch for 30 years and lives in a beautiful house adorned with hundreds of awards and honors, a poster of Alanis Morissette and roughly 300 cat figurines. He is someone who declared early in life that he would transform the lives of the blind and deaf with his inventions, and the warm receptions that he receives from groups with those disabilities prove he made good on that promise.

Still, at times the film may work to make Kurzweil more relatable than he is. After the New York screening an audience member asked Kurzweil why it was hurtful when people called him a "crackpot." "On what basis do you think it bothers me?" Kurzweil replied. The viewer pointed out that it happened in the film during a radio call-in show, and the camera seemed to freeze on his sad expression. "The film didn't show my actual reaction," Kurzweil said. Ptolemy, who was also on stage, did not comment.

The emotional spine of the film is Kurzweil's love for his father, a composer whose "genius was thwarted" in life, he says, and who died at 58 of heart disease. The film weds Kurzweil's refusal to accept death's inevitability to his quest for immortality, which he believes advances in medicine and technology will achieve before he himself dies. In effect, the film dares viewers to draw the pop psychology conclusion that Kurzweil's faith in techno-immortality is really a fantasy he's projected to avoid confronting his fears of death—an opinion that Kurzweil would surely dispute.

Therein lies the biggest flaw in the movie: it refuses to ask that question and challenge Kurzweil's own narrative about his beliefs. Kurzweil acknowledges that his father's death was momentous for him (and credits the film with helping him realize it), but he never concedes or even addresses on camera whether that fact might bear on his certainty that the Singularity will arrive during his lifetime.

The film is evenhanded enough to give some of Kurzweil's more respectful critics a chance to air their disagreements with him, but it never shows anyone arguing directly with Kurzweil, so viewers are left with no sense of who might have the better-reasoned perspective. The film seems dedicated to this hands-off approach. Ptolemy followed Kurzweil for two years and was clearly immersed in those ideas; surely he must have his own opinion of them. But if so, he keeps it under wraps.

As a result, the film fails to show that resistance to his ideas is often based on more than uninformed incredulity and that the science on which Kurzweil stands is sometimes rather flimsy. For example, Kurzweil states that biological evolution shows the same exponential rate of change that technology does—a claim that many biologists consider nonsensical. He confidently foresees uploading human consciousness and memories into computers but doesn't engage with extensive objections to that possibility raised by neuroscientists. He talks about "reprogramming [his] biochemistry" with pills and supplements but doesn't note that the science behind that regimen sometimes relies on a selective reading of the research literature. He speaks assuredly about genes as "software" but glosses over the problems with that metaphor.

The absence of a challenge in the film is sorely missed everywhere, but especially in Kurzweil's poignant, bizarre belief that technology will someday help him resurrect his father. With degraded DNA scavenged from his father's grave, memories plucked from the brains of those who knew him, and information in the man's papers and music (which Kurzweil has scrupulously warehoused), post-Singularity technology will supposedly be able to whip up a replica of the man.

It is hard to know where to begin in pointing out the problems with that plan. But technical and philosophical reservations aside, what does it say about Kurzweil's personality that he would consider such a thin simulacrum to be his father, or even an appealing proxy for him? A more incisive documentary would want to know.

Kurzweil and Transcendent Man want to evangelize that technology will help human beings rise above the limitations of their biology and become something literally more divine. Yet Kurzweil comes across as naively uninterested in the philosophical and practical implications of that possibility—not unaware of them, but blithely optimistic that the problems will work out. And paradoxically, in a film about an expansion of what it could mean to be human the protagonist sometimes seems so emotionally off-kilter that his own humanity feels unrealized.

Futurist Kevin Kelly—who is no stranger to wild technological extrapolations, as in his 2010 book What Technology Wants (Viking)—thinks that Kurzweil is probably right about where the technology is heading but far too optimistic about how soon immortality and other dreams will be realized. In the film he describes Kurzweil as "more a poet than a mechanic," and adds that Kurzweil's unswerving commitment to his ideas makes him a kind of "modern-day prophet…that's wrong."

Kelly's assessment may be the canniest of any in the film. Kurzweil is devoutly sure that the angels of exponential progress will triumph over all doubt. He intends to see nanotech-embodied intelligence expanding outward, inhabiting every speck of matter in the cosmos until the universe itself springs into consciousness. His eye is on the long game, the infinitely long game that he intends to witness personally. Those critics who join him in eternity will come to realize that he was the one who saw it first and best—a singular distinction, if you will.

"Does God exist?" Kurzweil asks rhetorically in the film. "I would say, 'Not yet.'" The wittiness of the joke almost hides the immodesty at its core.

Read More: http://goo.gl/OWR9r


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Tuesday, May 8, 2012

Indispensable Question: Has the Technological Singularity started to influence our lives already? Hence:

Rodney Brooks writes, “…Over the next ten to twenty years, there will be a cultural shift, in which we will adopt robotic technology, silicon, and steel into our bodies to improve what we can do and understand the world …. We may able to have a wireless Internet connection installed directly into our brains …. Fifty years from now, we can expect to see radical alterations of human bodies through genetic modification …. The human menagerie will expand in ways unimaginable to us today …. We will no longer find ourselves by Darwinian evolution…”


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“…Why not learn from nature and biology? Hence, copy nature and biology!...”


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“…consciousness is actually the sum of many separate algorithms and techniques that nature stumbled upon over millions of years….”


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Dr. Henry Mintzberg argues that judging (qualitative analyses) is more important than measuring (quantitative analyzes). While Michael LeBouef observes, “…What gets rewarded gets done…”


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Monday, May 7, 2012

The pace of technological change is quickening — radically.

Ray Kurzweil states, "... A lot of people, sophisticated scientists included, take a linear perspective .... They assume the current [technological] tools will continue [along with] the current pace of progress..."


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