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World Economic Forum Report: Existing Workforce Must Prepare, Re-Skill & Up-Skill for Impending Fourth Industrial Revolution

Finally, folks are getting the real picture around re-tooling and retraining folks for new jobs in an oncoming AI future. In my posts; I have highlighted the need for governments and businesses to retrain people as well as ensure that their is some level of funding established to assist displaced workers, and especially as we see the maturity of Quantum in the AI space this will definitely be a must.


Untitled“If every tool, when ordered, or even of its own accord, could do the work that befits it… then there would be no need either of apprentices for the master workers or of slaves for the lords.” – Aristotle.

Humans have such a love/hate relationship with technology that it’s almost comical. All of our own creation, once we’ve perfected amazing innovations, we often turn on them–when convenient. As the PC became common and marketed toward the masses in the 80s, a new world of automation, both good and bad, was predicted. As mad scientists tucked away in secret, underground labs began creating evil robots in a slew of sci-fi movies that we consumed greedily, along with becoming affectionate toward machines like C-3P0 and R2-D2 just birthed in what would be a continuing pop subculture with a momentum of its own, our imaginations ran wild. Fearmongers cited that automation would make many jobs obsolete; robots would begin doing what was left as an economic apocalypse ensued for the human race.

In truth, the birth of the computer created a huge industry of jobs, from manufacturing and maintenance to advanced software engineering and entire IT departments. And although it’s been predicted through the ages that robots would begin doing all of our tasks, how many of us are actually employing robots in the home or office–and how many people do you know who lost their jobs because it was given to a humanoid instead? Probably none. But still, yes, there are whispers saying that may change one day soon. And while we’ve all heard that talk for decades past, it is undeniable that innovation on nearly every level has been accelerated recently, and is predicted to continue as 3D printing, artificial intelligence, and robotics evolve–just as a few examples.

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Politicians are so predictable, a robot can literally write their speeches

On a mire humerous note:
AI and particularly robots; can easily pick up on people’s patterns/ styles to the point where they can write your speeches and possibly develop your PowerPoint presentations. Procrastinators will no longer have to stress about pulling their slides together, interns will have more availability to work on projects, and politicians will sound like a pro with this robot.

BTW — the robot in this articile was so good at mimicking the politician; that the robot (just the politician) in the speech kept thanking everyone in the chamber after it yielded time back to the speaker. Maybe our politicians will start sending their robots to vote for them in the future.


Computer researchers have created programs that can do the job quite nicely, explains Brian Fung.

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Google Just Beat Facebook in Race to Artificial Intelligence Milestone

Artificial intelligence researchers at Google DeepMind are celebrating after reaching a major breakthrough that’s been pursued for more than 20 years: The team taught a computer program the ancient game of Go, which has long been considered the most challenging game for an an artificial intelligence to learn. Not only can the team’s program play Go, it’s actually very good at it.

The computer program AlphaGo was developed by Google DeepMind specifically with the task of beating professional human players in the ancient game. The group challenged the three-time European Go Champion Fan Hui to a series of matches, and for the first time ever, the software was able to beat a professional player in all five of the games played on a full-sized board. The team announced the breakthrough in a Nature article published today.

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Google DeepMind: Ground-breaking AlphaGo masters the game of Go

In a paper published in Nature on 28th January 2016, we describe a new approach to computer Go. This is the first time ever that a computer program “AlphaGo” has defeated a human professional player.

The game of Go is widely viewed as an unsolved “grand challenge” for artificial intelligence. Games are a great testing ground for inventing smarter, more flexible algorithms that have the ability to tackle problems in ways similar to humans. The first classic game mastered by a computer was noughts and crosses (also known as tic-tac-toe) in 1952. But until now, one game has thwarted A.I. researchers: the ancient game of Go.

Despite decades of work, the strongest computer Go programs only played at the level of human amateurs. AlphaGo has won over 99% of games against the strongest other computer Go programs. It also defeated the human European champion by 5–0 in tournament games, a feat previously believed to be at least a decade away. In March 2016, AlphaGo will face its ultimate challenge: a 5-game challenge match in Seoul against the legendary Lee Sedol—the top Go player in the world over the past decade.

This video tells the story so far…

With Demis Hassabis, Google DeepMind.

Deep Blue photo credit courtesy of International Business Machines Corporation, © International Business Machines Corporation.

New record in nanoelectronics at ultralow temperatures

Another Quantum Breakthrough through ultra- low temp nanoelectronics- Sub-millikelvin nanoelectronic circuits and is another step on the way to develop new quantum technologies including quantum computers and sensors.


The first ever measurement of the temperature of electrons in a nanoelectronic device a few thousandths of a degree above absolute zero was demonstrated in a joint research project performed by Lancaster University, VTT Technical Research Centre of Finland Ltd, and Aivon Ltd.

The team managed to make the electrons in a circuit on a silicon chip colder than had previously been achieved.

Dr Rich Haley, Head of Ultra Low Temperature Physics at Lancaster, said: “This is a notable achievement in that the team has finally broken through the 4 millikelvin barrier, which has been the record in such structures for over 15 years.”

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