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Archive for the ‘disruptive technology’ category: Page 10

Apr 8, 2016

Why fossil fuel power plants will be left stranded — By Martin Wolf | Financial Times

Posted by in categories: business, disruptive technology, education, energy, environmental, governance, law, sustainability

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“Virtually all new fossil fuel-burning power-generation capacity will end up “stranded”. This is the argument of a paper by academics at Oxford university. We have grown used to the idea that it will be impossible to burn a large portion of estimated reserves of fossil fuels if the likely rise in global mean temperatures is to be kept below 2C. But fuels are not the only assets that might be stranded. A similar logic can be applied to parts of the capital stock.”

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Mar 21, 2016

Resurrection and Biotechnology

Posted by in categories: biotech/medical, disruptive technology, Elon Musk, futurism, human trajectories, neuroscience, posthumanism, Ray Kurzweil, Skynet, transhumanism

“He is not here; He has risen,” — Matthew 28:6

As billions of Christians around the world are getting ready to celebrate the Easter festival and holiday, we take pause to appreciate the awe inspiring phenomena of resurrection.

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In religious and mythological contexts, in both Western and Eastern societies, well known and less common names appear, such as Attis, Dionysus, Ganesha, Krishna, Lemminkainen, Odin, Osiris, Persephone, Quetzalcoatl, and Tammuz, all of whom were reborn again in the spark of the divine.

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Mar 18, 2016

Who’s Afraid of Existential Risk? Or, Why It’s Time to Bring the Cold War out of the Cold

Posted by in categories: defense, disruptive technology, economics, existential risks, governance, innovation, military, philosophy, policy, robotics/AI, strategy, theory, transhumanism

At least in public relations terms, transhumanism is a house divided against itself. On the one hand, there are the ingenious efforts of Zoltan Istvan – in the guise of an ongoing US presidential bid — to promote an upbeat image of the movement by focusing on human life extension and other tech-based forms of empowerment that might appeal to ordinary voters. On the other hand, there is transhumanism’s image in the ‘serious’ mainstream media, which is currently dominated by Nick Bostrom’s warnings of a superintelligence-based apocalypse. The smart machines will eat not only our jobs but eat us as well, if we don’t introduce enough security measures.

Of course, as a founder of contemporary transhumanism, Bostrom does not wish to stop artificial intelligence research, and he ultimately believes that we can prevent worst case scenarios if we act now. Thus, we see a growing trade in the management of ‘existential risks’, which focusses on how we might prevent if not predict any such tech-based species-annihilating prospects. Nevertheless, this turn of events has made some observers reasonably wonder whether indeed it might not be better simply to put a halt to artificial intelligence research altogether. As a result, the precautionary principle, previously invoked in the context of environmental and health policy, has been given a new lease on life as generalized world-view.

The idea of ‘existential risk’ capitalizes on the prospect of a very unlikely event that, were it to pass, would be extremely catastrophic for the human condition. Thus, the high value of the outcome psychologically counterbalances its low probability. It’s a bit like Pascal’s wager, whereby the potentially negative consequences of you not believing in God – to wit, eternal damnation — rationally compels you to believe in God, despite your instinctive doubts about the deity’s existence.

However, this line of reasoning underestimates both the weakness and the strength of human intelligence. On the one hand, we’re not so powerful as to create a ‘weapon of mass destruction’, however defined, that could annihilate all of humanity; on the other, we’re not so weak as to be unable to recover from whatever errors of design or judgement that might be committed in the normal advance of science and technology in the human life-world. I make this point not to counsel complacency but to question whether ‘existential risk’ is really the high concept that it is cracked up to be. I don’t believe it is.

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Feb 15, 2016

The Many Uses of Multi-Agent Intelligent Systems

Posted by in categories: complex systems, disruptive technology, driverless cars, energy, innovation, robotics/AI, software

In professional cycling, it’s well known that a pack of 40 or 50 riders can ride faster and more efficiently than a single rider or small group. As such, you’ll often see cycling teams with different goals in a race work together to chase down a breakaway before the finish line.

This analogy is one way to think about collaborative multi-agent intelligent systems, which are poised to change the technology landscape for individuals, businesses, and governments, says Dr. Mehdi Dastani, a computer scientist at Utrecht University. The proliferation of these multi-agent systems could lead to significant systemic changes across society in the next decade.

Image credit: ResearchGate

Image credit: ResearchGate

“Multi-agent systems are basically a kind of distributed system with sets of software. A set can be very large. They are autonomous, they make their own decisions, they can perceive their environment, “Dastani said. “They can perceive other agents and they can communicate, collaborate or compete to get certain resources. A multi-agent system can be conceived as a set of individual softwares that interact.”

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Feb 1, 2016

The Coming Era of Virtual Reality

Posted by in categories: augmented reality, disruptive technology, entertainment, innovation, thought controlled, virtual reality

A Lifeboat guest editorial

Richelle Ross-sRichelle Ross is a sophomore at the University of Florida, focusing on statistics and data science. As a crypto consultant, she educates far beyond the campus. Her insight on the evolution and future of Bitcoin has been featured in national publications. Richelle writes for CoinDesk, LinkedIn, and Quora, providing analysis on Bitcoin’s evolving economy.


In 2003, I remember going to see my first IMAX 3D film,
Space Station . My family was touring NASA at Cape Canaveral Florida. The film was an inside view into life as an astronaut enters space. As the astronauts tossed M&Ms to each other in their new gravity-free domain, the other children and space_station_1I gleefully reached our hands out to try and touch the candy as it floated towards us. I had never experienced anything so mind-blowing in my 7 year life. The first 3D film was released in 1922. Yet, surprisingly, flat entertainment has dominated screens for in the 9½ decades that followed. Only a handful of films have been released in 3D—most of them are animated. But now, we are gradually seeing a shift in how people experience entertainment. As methods evolve and as market momentum builds, it promises to be one of the most groundbreaking technologies of the decade. I foresee Virtual Reality reaching a point where our perception of virtual and real-life experiences becomes blurred—and eventually—the two become integrated.

Ever since pen was put to paper, and camera to screen, audiences have enjoyed being swept into other worlds. For those of us “dreamers” being able to escape into these stories is one way we live through and expand our understanding of other times and places—even places space_station_2that may not be accessible in our lifetimes. Virtual reality is the logical progression and natural evolution of these experiences.

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Jan 26, 2016

How Technology Changes the Way We Diagnose and Treat Mental Illness

Posted by in categories: biological, biotech/medical, disruptive technology, homo sapiens, neuroscience

As recently as 50 years ago, psychiatry lacked a scientific foundation, the medical community considered mental illness a disorder of the mind, and mental patients were literally written off as “sick in the head.” A fortunate turn in progress has yielded today’s modern imaging devices, which allow neuroscientists and psychiatrists to examine the brain of an individual suffering from a mental disorder and provide the best treatment options. In a recent interview, Columbia University Psychiatry Chair Dr. Jeffrey Lieberman stated that new research into understanding the mind is growing at an accelerated pace.

(iStock)

(iStock)

Lieberman noted that, just as Galileo couldn’t prove heliocentrism until he had a telescope, psychiatry lacked the technological sophistication, tools, and instruments necessary to get an understanding of the brain until the 1950s. It wasn’t until the advent of psychopharmacology and neuroimaging, he said, that researchers could look inside the so-called black box that is the brain.

“(It began with) the CAT scan, magnetic resonance imaging (MRI) systems, positron emission tomography (PET scans) and then molecular genetics. Most recently, the burgeoning discipline of neuroscience and all of the methods within, beginning with molecular biology and progressing to optogenetics, this capacity has given researchers the ability to deconstruct the brain, understand its integral components, its mechanisms of action and how they underpin mental function and behavior,” Lieberman said. “The momentum that has built is almost like Moore’s law with computer chips, (and) you see this increasing power occurring with exponential sort of growth.”

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Jan 19, 2016

Connecting The Dots to Get the Big Picture with Artificial Intelligence

Posted by in categories: big data, disruptive technology, economics, information science, machine learning

Ask the average passerby on the street to describe artificial intelligence and you’re apt to get answers like C-3PO and Apple’s Siri. But for those who follow AI developments on a regular basis and swim just below the surface of the broad field , the idea that the foreseeable AI future might be driven more by Big Data rather than big discoveries is probably not a huge surprise. In a recent interview with Data Scientist and Entrepreneur Eyal Amir, we discussed how companies are using AI to connect the dots between data and innovation.

Image credit: Startup Leadership Program Chicago

Image credit: Startup Leadership Program Chicago

According to Amir, the ability to make connections between big data together has quietly become a strong force in a number of industries. In advertising for example, companies can now tease apart data to discern the basics of who you are, what you’re doing, and where you’re going, and tailor ads to you based on that information.

“What we need to understand is that, most of the time, the data is not actually available out there in the way we think that it is. So, for example I don’t know if a user is a man or woman. I don’t know what amounts of money she’s making every year. I don’t know where she’s working,” said Eyal. “There are a bunch of pieces of data out there, but they are all suggestive. (But) we can connect the dots and say, ‘she’s likely working in banking based on her contacts and friends.’ It’s big machines that are crunching this.”

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Jan 4, 2016

Bitcoin Primer: Don’t Start with Miners

Posted by in categories: bitcoin, cryptocurrencies, disruptive technology, economics, innovation, internet

I administer the Bitcoin P2P discussion group at LinkedIn, a social media network for professionals. A frequent question posed by newcomers and even seasoned venture investors is: “How can I understand Bitcoin in its simplest terms?”

Engineers and coders offer answers that are anything but simple. Most focus on mining and the blockchain. In this primer, I will take an approach that is both familiar and accurate…

Terms/Concepts: Miners Blockchain Double-Spend

First, forget about everything you have heard about ‘mining’ Bitcoin. That’s just a temporary mechanism to smooth out the initial distribution and make it fair, while also playing a critical role in validating the transactions between individuals. Starting with this mechanism is a bad way to understand Bitcoin, because its role in establishing value, influencing trust or stabilizing value is greatly overrated.

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Jan 1, 2016

Can Governments Ban Bitcoin?

Posted by in categories: bitcoin, cryptocurrencies, disruptive technology, economics, government, internet

Recently, I was named Most Viewed Writer on Bitcoin and cryptocurrency at Quora.com (writing under the pen name, “Ellery”). I don’t typically mirror posts at Lifeboat, but a question posed today is Quora_Most_Viewed_splashrelevant to my role on the New Money Systems board at Lifeboat. Here, then, is my reply to: “How can governments ban Bitcoin?”


Governments can enact legislation that applies to any behavior or activity. That’s what governments do—at least the legislative arm of a government. Such edicts distinguish activities that are legal from those that are banned or regulated.

You asked: “How can governments ban Bitcoin?” But you didn’t really mean to ask in this way. After all, legislators ban whatever they wish by meeting in a congress or committee and promoting a bill into law. In the case of a monarchy or dictatorship, the leader simply issues an edict.

So perhaps, the real question is “Can a government ban on Bitcoin be effective?”

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Oct 23, 2015

Artificial Intelligence Is A Big Part Of Your Life, Just Don’t Buy The Hollywood Hype

Posted by in categories: automation, business, disruptive technology, economics, robotics/AI

Ask just about anyone on the street to describe artificial intelligence and odds are, they’ll describe something resembling the futuristic science fiction robot they’ve seen in movies and television shows. However, according to Mathematician, Linguist and Artificial Intelligence Researcher Dr. András Kornai, artificial intelligence is a reality right now, and its impact can be seen every day.

“I’d say 35 percent of the total commerce taking place on Wall Street (right now) is driven by algorithms and it’s no longer driven by humans,” Kornai said. “This is not science fiction. (Artificial intelligence) is with us today.”

What we’ve seen so far in the application of algorithm-based artificial intelligence in the financial sector is just the tip of the iceberg, Kornai said. In fact, you don’t even have to own stock to be affected by it.

“I have designed algorithms that will (determine) your creditworthiness, meaning your creditworthiness is now determined by an algorithm,” he said. “We have substituted human-decision making capabilities in favor of better algorithms to pursue this, and we have given up a huge area of human competence, and money is just one aspect of it.”

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