WHY IT MATTERS: Digital Transformation
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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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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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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.

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WHY THIS MATTERS

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

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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 

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 

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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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! ;-)

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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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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Diamond Patterning Technique Could Transform Photonics MIT @TechReview

Diamond Patterning Technique Could Transform Photonics MIT @TechReview | WHY IT MATTERS: Digital Transformation | Scoop.it
A simple way to carve patterns onto nanodiamonds without damaging them could lead to a new generation of photonic devices, say materials scientists.
Farid Mheir's insight:

Very techno-geeky summary of a nanotechnology paper. This is for all my microelectronics friends and also to anyone that believes we are at end of evolution possible with microelectronics. We have indeed reached the limits of the current technologies but new ones like this come in play to carry moore's law further.


The singularity is near will happen.


See also

Digital Transformation- We Haven't Seen Anything Yet: 3 min video worth watching via @capgemini http://sco.lt/5YVBnV

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