WHY IT MATTERS: Digital Transformation
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WHY IT MATTERS: Digital Transformation
Going digital in your business? I select the best posts and highlight the reasons why it matters. Like it? Click "recommend" + register to get the digest in your inbox: http://fmcs.digital/newsletter-signup/
Curated by Farid Mheir
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Beware of the digital cliff: digital transformation happens very fast and companies must prepare for that event, even though its timing is difficult to determine #exponentialGrowth #digitalDisruption

Beware of the digital cliff: digital transformation happens very fast and companies must prepare for that event, even though its timing is difficult to determine #exponentialGrowth #digitalDisruption | WHY IT MATTERS: Digital Transformation | Scoop.it

Digital transformation does not happen slowly over time, but rather abruptly after a long period of denial by industry leaders.

Farid Mheir's insight:

WHY IT MATTERS: this post from 2013 is still as valid today as it was 5 years ago. Why do so many companies continue to be in denial?

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Ray Kurzweil - Human-Level #AI is Just 12 Years Away #video #singularityIsNear

In December 2012, Kurzweil was hired by Google in a full-time position to "work on new projects involving machine learning and language processing". He was personally hired by Google co-founder Larry Page. Larry Page and Kurzweil agreed on a one-sentence job description: "to bring natural language understanding to Google".

Farid Mheir's insight:

WHY IT MATTERS: a great talk from one of the great minds in AI and technology in general. Moreover he provides an optimistic viewpoint on AI and the changes that are coming in the next few years. And remember, when you reach 1% of the final goal, you are only 7 years from 100%, assuming doubling every year or so. This is what exponential growth means.

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The Artificial Intelligence Revolution explained in relatively simple terms #AI #SingularityIsNear

The Artificial Intelligence Revolution explained in relatively simple terms #AI #SingularityIsNear | WHY IT MATTERS: Digital Transformation | Scoop.it

We are on the edge of change comparable to the rise of human life on Earth.

Farid Mheir's insight:

WHY IT MATTERS: A great review of the elements that combine to make artificial intelligence a reality today, along with its potential for the future.

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A 'Google Maps' for the Mouse Brain Details Neurons Like Never Before #video #singularity

A 'Google Maps' for the Mouse Brain Details Neurons Like Never Before #video #singularity | WHY IT MATTERS: Digital Transformation | Scoop.it

MouseLight is the most detailed map of the mouse brain yet. Scientists hope this brain map, and others like it, can help unravel the brain's mysteries.

Farid Mheir's insight:

WHY IT MATTERS: understanding of the human brain is essential to improve artificial intelligence. Advances in brain scanning technologies have allowed researchers to map 700 neurons in a ouse brain and the results are presented here. Look at the 2min video to understand what has been achieved. 

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The Robots are Here: a 30min video on the state of #robots & #robotics in 2017 @su_globalsummit

The robots are indeed already here. I work at a university where my job is teaching students and doing research and robotics and so I really what I want to convey to you today is the trends that I see robotics research going that will ultimately turn into actual products and directions that you might be able to take advantage of in the future.

Farid Mheir's insight:

WHY IT MATTERS : the video provides a great review of the state of technology when it comes to robots and robotics today from one of the leading researcher in the field. The talk is peppered with short videos of actual robots so you get a good sense of what's possible today. But remember that we live in an exponential growth era, so things improve very fast.

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Here's when #robots will start beating #humans at every task @Oxford @Yale

Here's when #robots will start beating #humans at every task @Oxford @Yale | WHY IT MATTERS: Digital Transformation | Scoop.it
A survey of AI researchers tallied predictions for when machines will start beating humans at everything from LEGO assembly to essay-writing.
Farid Mheir's insight:

WHY IT MATTERS: I shy away from these projections but here it comes from scholars at Oxford and Yale so I give more value. Moreover it tracks with the projections I have read from the Singularity is Near and other books on the matter. Moreover I like the visualization because it shows concrete tasks that we can all relate to. And look at the timeline, remembering that 2026 is less than 10 years from now...

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The making of Google self-driving cars & the high stakes that come along with it #longRead

The making of Google self-driving cars & the high stakes that come along with it #longRead | WHY IT MATTERS: Digital Transformation | Scoop.it

Levandowski has done perhaps more than anyone else to propel transportation toward its own Singularity, a time when automated cars, trucks and aircraft either free us from the danger and drudgery of human operation—or decimate mass transit, encourage urban sprawl, and enable deadly bugs and hacks.

Farid Mheir's insight:

WHY IT MATTERS

Self driving vehicles may mark the next revolution in transportation and recent legal battles between Google and Uber show just how nasty competition can get when high rewards are achievable.

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The Coming Technological #Singularity: original text from 1993 #mustRead

Within thirty years, we will have the technological means to create superhuman intelligence. Shortly after, the human era will be ended.

Farid Mheir's insight:

WHY THIS MATTERS

This is the original document from 1993 that discusses the Singularity concept - with great examples. 

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$93B vision fund investor and SoftBank CEO has only one belief — #Singularity

$93B vision fund investor and SoftBank CEO has only one belief — #Singularity | WHY IT MATTERS: Digital Transformation | Scoop.it

The Singularity is coming, Masayoshi Son says. His main thrusts:

  • The Singularity, when artificial intelligence finally outstrips that of humans, will replace huge swaths of jobs.
  • The number of sentient robots on Earth will rival the number of humans.
Farid Mheir's insight:

WHY IT MATTERS

AI will have such a profound impact on our society that it may represent the biggest threat and the biggest opportunity for the future. SoftBank has been clear about making this its top investment priority in the coming years. Others should take notice.

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2017 Predictions in the context of exponential growth and impact of #technology in business

2017 Predictions in the context of exponential growth and impact of #technology in business | WHY IT MATTERS: Digital Transformation | Scoop.it

My 2016 predictions focused on the shifting world of customer experience. I have viewed experience through a next generation lens, realizing that our interaction paradigms will change considerably in the next five years (conversational systems, ecosystems, virtual reality, augmented reality, etc.). Rather than expand on that theme this year, I am shifting my lens to purpose. At the end of the day, it’s about human well-being. The experiences that business and government create are in some way linked to our own life experiences – and ultimately our well-being. History tells us that we experienced great improvements in the standard of living of developed countries during a special century between 1870 and 1970 – but there has been little change since.

Farid Mheir's insight:

Another set of predictions for the year but in the context of exponential growth.

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The Doomsday Invention: a #longRead review & discussion on #AI and the book Superintelligence via @NewYorker 

The Doomsday Invention: a #longRead review & discussion on #AI and the book Superintelligence via @NewYorker  | WHY IT MATTERS: Digital Transformation | Scoop.it
Raffi Khatchadourian on Nick Bostrom, an Oxford philosopher who asks whether inventing artificial intelligence will bring us utopia or destruction.
Farid Mheir's insight:

Perfect Sunday morning reading which is guaranteed to make you reflect and ponder for the next weeks. The article is a typical New Yorker one, very well researched and written. So captivating that it got me to start reading the book which appears to be as captivating and surprisingly easy to read and understand. I love those finds and have the feeling this book will be the best complement to "Singularity is Near" and "On Intelligence" that I wrote about in the past.

 

- book "singularity is near": http://fmcs.digital/blog/singularity-is-near-an-essential-read-to-understand-why-technology-evolves-so-fast/ 

- book "on intelligence": http://fmcs.digital/blog/on-intelligence-mustread-to-understand-frontal-cortex-architecture-what-makes-us-intelligent/ 

- article "Why the future does not need us": http://fmcs.digital/blog/why-the-future-doesnt-need-us-a-reminder-that-ai-may-have-a-bad-side-via-wired/ 

- related posts: http://www.scoop.it/t/digital-transformation-of-businesses/?tag=Singularity+is+Near 

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Farid Mheir's curator insight, January 16, 2017 9:18 AM

Perfect Sunday morning reading which is guaranteed to make you reflect and ponder for the next weeks. The article is a typical New Yorker one, very well researched and written. So captivating that it got me to start reading the book which appears to be as captivating and surprisingly easy to read and understand. I love those finds and have the feeling this book will be the best complement to "Singularity is Near" and "On Intelligence" that I wrote about in the past.

 

- book "singularity is near": http://fmcs.digital/blog/singularity-is-near-an-essential-read-to-understand-why-technology-evolves-so-fast/ 

- book "on intelligence": http://fmcs.digital/blog/on-intelligence-mustread-to-understand-frontal-cortex-architecture-what-makes-us-intelligent/ 

- article "Why the future does not need us": http://fmcs.digital/blog/why-the-future-doesnt-need-us-a-reminder-that-ai-may-have-a-bad-side-via-wired/ 

- related posts: http://www.scoop.it/t/digital-transformation-of-businesses/?tag=Singularity+is+Near 

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The Doomsday Invention: a #longRead review & discussion on #AI and the book Superintelligence via @NewYorker 

The Doomsday Invention: a #longRead review & discussion on #AI and the book Superintelligence via @NewYorker  | WHY IT MATTERS: Digital Transformation | Scoop.it
Raffi Khatchadourian on Nick Bostrom, an Oxford philosopher who asks whether inventing artificial intelligence will bring us utopia or destruction.
Farid Mheir's insight:

Perfect Sunday morning reading which is guaranteed to make you reflect and ponder for the next weeks. The article is a typical New Yorker one, very well researched and written. So captivating that it got me to start reading the book which appears to be as captivating and surprisingly easy to read and understand. I love those finds and have the feeling this book will be the best complement to "Singularity is Near" and "On Intelligence" that I wrote about in the past.

 

- book "singularity is near": http://fmcs.digital/blog/singularity-is-near-an-essential-read-to-understand-why-technology-evolves-so-fast/ 

- book "on intelligence": http://fmcs.digital/blog/on-intelligence-mustread-to-understand-frontal-cortex-architecture-what-makes-us-intelligent/ 

- article "Why the future does not need us": http://fmcs.digital/blog/why-the-future-doesnt-need-us-a-reminder-that-ai-may-have-a-bad-side-via-wired/ 

- related posts: http://www.scoop.it/t/digital-transformation-of-businesses/?tag=Singularity+is+Near 

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Farid Mheir's curator insight, January 14, 2017 2:17 PM

Perfect Sunday morning reading which is guaranteed to make you reflect and ponder for the next weeks. The article is a typical New Yorker one, very well researched and written. So captivating that it got me to start reading the book which appears to be as captivating and surprisingly easy to read and understand. I love those finds and have the feeling this book will be the best complement to "Singularity is Near" and "On Intelligence" that I wrote about in the past.

 

- book "singularity is near": http://fmcs.digital/blog/singularity-is-near-an-essential-read-to-understand-why-technology-evolves-so-fast/ 

- book "on intelligence": http://fmcs.digital/blog/on-intelligence-mustread-to-understand-frontal-cortex-architecture-what-makes-us-intelligent/ 

- article "Why the future does not need us": http://fmcs.digital/blog/why-the-future-doesnt-need-us-a-reminder-that-ai-may-have-a-bad-side-via-wired/ 

- related posts: http://www.scoop.it/t/digital-transformation-of-businesses/?tag=Singularity+is+Near 

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Why the Future Doesn’t Need Us - a reminder that #AI may have a bad side via @wired 

Why the Future Doesn’t Need Us - a reminder that #AI may have a bad side via @wired  | WHY IT MATTERS: Digital Transformation | Scoop.it

Our most powerful 21st-century technologies – robotics, genetic engineering, and nanotech – are threatening to make humans an endangered species.

Farid Mheir's insight:

Written in 2000 and still valid - maybe more than ever in our age of AI and deep learning.

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"On Intelligence" #mustRead to understand frontal cortex architecture & what makes us intelligent  

Jeff Hawkins, the man who created the PalmPilot, Treo smart phone, and other handheld devices, has reshaped our relationship to computers. Now he stands ready to revolutionize both neuroscience and computing in one stroke, with a new understanding of intelligence itself.

Hawkins develops a powerful theory of how the human brain works, explaining why computers are not intelligent and how, based on this new theory, we can finally build intelligent machines.

The brain is not a computer, but a memory system that stores experiences in a way that reflects the true structure of the world, remembering sequences of events and their nested relationships and making predictions based on those memories. It is this memory-prediction system that forms the basis of intelligence, perception, creativity, and even consciousness.

In an engaging style that will captivate audiences from the merely curious to the professional scientist, Hawkins shows how a clear understanding of how the brain works will make it possible for us to build intelligent machines, in silicon, that will exceed our human ability in surprising ways.

Written with acclaimed science writer Sandra Blakeslee, On Intelligence promises to completely transfigure the possibilities of the technology age. It is a landmark book in its scope and clarity.

 

Farid Mheir's insight:

A must read book.

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1986 Essay on Brain Theory still as relevant today as it was 30 years ago

1986 Essay on Brain Theory still as relevant today as it was 30 years ago | WHY IT MATTERS: Digital Transformation | Scoop.it
Numenta — Leading the New Era of Machine Intelligence
Farid Mheir's insight:

Jeff Hawkins is most well known for creating the palm pilot handheld device in the 1990s. He also is a very intelligent man and neuroscientist. He penned the Book On Intelligence (http://amzn.to/2c1GBdZ) which provides an explanation fo the architecture of the neurocortex and founded a company, numenta (www.numenta.com), to implement this architecture in software.

 

Jeff recently re-published a 1986 paper he wrote which attending Berkley University where he presents his theory. This blog post provides context and a link to the paper which should be read as it presents his theories very well. 

 

I wrote about other ideas and solutions from Jeff Hawkins before: 

http://sco.lt/6Mpg8H

http://sco.lt/4lqtfN 

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The Fourth Industrial Revolution: what it means and how to respond via @weforum

The Fourth Industrial Revolution: what it means and how to respond via @weforum | WHY IT MATTERS: Digital Transformation | Scoop.it

We stand on the brink of a technological revolution that will fundamentally alter the way we live, work, and relate to one another. In its scale, scope, and complexity, the transformation will be unlike anything humankind has experienced before. We do not yet know just how it will unfold, but one thing is clear: the response to it must be integrated and comprehensive, involving all stakeholders of the global polity, from the public and private sectors to academia and civil society.

Farid Mheir's insight:

An analysis of the current situation and predictions by the world economic forum of a new revolution.

 

WHY THIS IS IMPORTANT

We truly are on the verge of major digital transformations: not one but many, compounded, which will revolutionize everything. If you are a baby boomer near retirement, you can skip this. Everyone else, read on and take notes: you will be impacted.

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This Beautiful #Unity Demo Shows How Far Video Game Graphics Have Come

This Beautiful #Unity Demo Shows How Far Video Game Graphics Have Come | WHY IT MATTERS: Digital Transformation | Scoop.it
Elon Musk recently explained at Code Conference why he believes we're all living in a simulation. His argument that such a simulation is possible is based on the exponential developments in video game graphics: "If you assume any rate of improvement at all, then the games will become indistinguishable from reality, even if that rate of advancement drops by one thousand from what it is now. It's a given that we're clearly on [that] trajectory."

Whether or not you believe simulation theory is true, it's hard to deny how much the gaming world has changed—even in the last decade.
Farid Mheir's insight:

Just watch the video and you'll see. We live in the matrix! ;-)

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fiddlerblackwell's comment, August 30, 2016 10:55 PM

Fabulous.
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IBM's New Artificial Neurons a Big Step Toward Powerful Brain-Like Computers

IBM's New Artificial Neurons a Big Step Toward Powerful Brain-Like Computers | WHY IT MATTERS: Digital Transformation | Scoop.it

Thanks to a sleek new computer chip developed by IBM, we are one step closer to making computers work like the brain. The neuromorphic chip is made from a phase-change material commonly found in rewritable optical discs (confused? more on this later). Because of this secret sauce, the chip’s components behave strikingly similar to biological neurons: they can scale down to nanometer size and perform complicated computations rapidly with little energy.

Farid Mheir's insight:

A detailed description of the new computer chip by IBM that mimics more closely than ever the workings of our brain neurons.

 

WHY THIS IS IMPORTANT

When Intel created the integrated semiconductor in 1971, it marked a revolution because it allowed electronics to be mass produced and operate at higher speed. Today, neurons are built using digital technologies and often are coded in software. With this chip, we have the opportunity to integrate many neurons into a single computer chip, and possibly achieve improvements in artificial intelligence.

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Software Eats the World : We Are All Softwareists Now

Software Eats the World : We Are All Softwareists Now | WHY IT MATTERS: Digital Transformation | Scoop.it

We Are All Software Makers Now

I think Joi Ito's TED talk about NOWISM is correct and a tsunami trend few understand or address. Right after the NOWISM wave comes the, "We are all software creators" wave. 

We love this line, "It is decidedly non-trivial for a company in a non-tech traditional industry to start thinking and acting like a software company." Damn skippy it is hard to become a "softwareist". 

 

Software engineers speak a different language, think differently than left brain creatives (most marketing people are left brain creatives) and want to engineer the world. 

 

The subtext of this well written and intelligently conceived post is find blue oceans or die. I'm mixing metaphors since the post doesn't contextualize using Kim's great Blue Ocean Strategies book, but the implication hangs in this post like a line separating winners from losers. 

 

 

 


Via Martin (Marty) Smith
Farid Mheir's insight:

An article that reminds us that software is everywhere and that all companies should focus on making this trend part of their strategic plan.

 

WHY IS THIS IMPORTANT?

The article focusses on 2 key elements: timing and focus. These are essential as not all industry move at the same speed. Case in point: book sales and grocery. Probably two ends of the spectrum, book sales have moved to online early and in a big way. Grocery: not so much. Actually, not yet. Because we all know it is coming, we will buy our staple grocery cans from a website in the coming years. Question is when.

 

And when this happens, when customers are ready and retailers find a way to remain profitable even when they do more work, then it will become a game of choosing the right products at the right price. Same as today. But with a different distribution channel. Focus will remain being a great grocer, not a great technology company. Or will it?

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Exponential Medicine: The Most Detailed Snapshot of Human Health in History

Exponential Medicine: The Most Detailed Snapshot of Human Health in History | WHY IT MATTERS: Digital Transformation | Scoop.it
Our bodies are extremely complex, interrelated, and ever-evolving patterns of information—from DNA to physiology to vital signs. But until modern times, most of that information was hidden from view. We... read more
Farid Mheir's insight:

Singularity University has organized a conference on the topic of human health, medicine and the impact that exponential improvements may mean on that industry. Full of references to conference presentations and followup posts.

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Genetic ‘intelligence networks’ discovered in the brain @KurzweilAI

Genetic ‘intelligence networks’ discovered in the brain @KurzweilAI | WHY IT MATTERS: Digital Transformation | Scoop.it
Scientists from Imperial College London have identified two clusters (“gene networks”) of genes that are linked to human intelligence. Called M1 and M3, these gene networks appear to influence cognitive function, which includes memory, attention, processing speed and reasoning.

Importantly, the scientists have discovered that these two networks are likely to be under the control of master regulator switches. The researcher want to identify those switches and see if they can manipulate them, and ultimately find out if this knowledge of gene networks could allow for boosting cognitive function.

“We know that genetics plays a major role in intelligence but until now, haven’t known which genes are relevant,” said Michael Johnson, lead author of the study from the Imperial College London Department of Medicine. Johnson says the genes they have found so far are likely to share a common regulation, which means it may be possible to manipulate a whole set of genes linked to human intelligence.

Combining data from brain samples, genomic information, and IQ tests

In the study, published in the journal Nature Neuroscience, the international team of researchers looked at samples of human brain from patients who had undergone neurosurgery for epilepsy. The investigators analyzed thousands of genes expressed in the human brain, and then combined these results with genetic information from healthy people who had undergone IQ tests and from people with neurological disorders such as autism spectrum disorder and intellectual disability.

Then they conducted various computational analyses and comparisons to identify the gene networks influencing healthy human cognitive abilities. Remarkably, they found that some of the same genes that influence human intelligence in healthy people cause impaired cognitive ability and epilepsy when mutated. And they found that genes that make new memories or sensible decisions when faced with lots of complex information also overlap with those that cause severe childhood onset epilepsy or intellectual disability.

Via Wildcat2030
Farid Mheir's insight:

Brain research and work to understand the architecture of our brain and reverse engineer it into machines continues to bring wonderful insights into who we are and what will soon be possible with digital machines.

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When machines learn like humans | Probabilistic programs pass the "visual Turing test"

When machines learn like humans | Probabilistic programs pass the "visual Turing test" | WHY IT MATTERS: Digital Transformation | Scoop.it
A team of scientists has developed an algorithm that captures human learning abilities, enabling computers to recognize and draw simple visual concepts that are mostly indistinguishable from those created by humans.

The work by researchers at MIT, New York University, and the University of Toronto, which appears in the latest issue of the journal Science, marks a significant advance in the field — one that dramatically shortens the time it takes computers to “learn” new concepts and broadens their application to more creative tasks, according to the researchers.

“Our results show that by reverse-engineering how people think about a problem, we can develop better algorithms,” explains Brenden Lake, a Moore-Sloan Data Science Fellow at New York University and the paper’s lead author. “Moreover, this work points to promising methods to narrow the gap for other machine-learning tasks.”

The paper’s other authors are Ruslan Salakhutdinov, an assistant professor of Computer Science at the University of Toronto, and Joshua Tenenbaum, a professor at MIT in the Department of Brain and Cognitive Sciences and the Center for Brains, Minds and Machines.

When humans are exposed to a new concept — such as new piece of kitchen equipment, a new dance move, or a new letter in an unfamiliar alphabet — they often need only a few examples to understand its make-up and recognize new instances. But machines typically need to be given hundreds or thousands of examples to perform with similar accuracy.

“It has been very difficult to build machines that require as little data as humans when learning a new concept,” observes Salakhutdinov. “Replicating these abilities is an exciting area of research connecting machine learning, statistics, computer vision, and cognitive science.”

Salakhutdinov helped to launch recent interest in learning with “deep neural networks,” in a paper published in Science almost 10 years ago with his doctoral advisor Geoffrey Hinton. Their algorithm learned the structure of 10 handwritten character concepts — the digits 0-9 — from 6,000 examples each, or a total of 60,000 training examples.

Via Wildcat2030
Farid Mheir's insight:

Review of work done to make computers learn like humans, the experiment shows that new algorithms can learn from very large sets of images - 60 000 examples to learn how to draw digits 0 to 9. 

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#Video introduction to #transhumanism

#Video introduction to #transhumanism | WHY IT MATTERS: Digital Transformation | Scoop.it
Do you want to be free of cancer and heart disease? Do you want to see your great-grandkids graduate, mankind establish colonies on other planets or dinosaurs brought back to life again? Do you want to be able to feel the Earth's magnetic field, dive down into the ocean without scuba gear or run at 50km/h for hours without being too tired? Do you essentially want to become superman? Transhumanists do.
Farid Mheir's insight:

A number of video presentations that introduce what transhumanism is about. Great to listen to and ponder over the weekend...

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aamoon09's curator insight, May 15, 2016 8:50 AM
well this is interesting...
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Singularity HUB - News and Insights on Technology, Science, and the Future from Singularity University

Singularity HUB - News and Insights on Technology, Science, and the Future from Singularity University | WHY IT MATTERS: Digital Transformation | Scoop.it
News and Insights on Technology, Science, and the Future from Singularity University
Farid Mheir's insight:

Singularity university explores the impact the the exponential growth will have on all aspects of our future lives. This sites provides an amazing starting point to get the latest news in the field and to become more familiar with the university work.

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Curated by Farid Mheir
Digital technology consultant. Register to my free email newsletter: http://fmcs.digital/newsletter-signup/