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“According to many industry observers, we are today on the cusp of a Fourth Industrial Revolution. Developments in previously disjointed fields such as artificial intelligence and machine learning, robotics, nanotechnology, 3D printing and genetics and biotechnology are all building on and amplifying one another…”


The World Economic Forum (WEF) published an analysis today on the technological and sociological drivers of employment.

The report, titled The Future of Jobs, validates the accelerating impact of technology on global employment trends, and also highlights serious concerns that job growth in certain industries is still very much outpaced by large scale declines in other industries.

The report surveyed senior executives and chief human resources officers of various companies “representing more than 13 million employees across 9 broad industry sectors in 15 major developed and emerging economies and regional economic areas.”

“We have managed to develop a software product that will use artificial intelligence to analyze the situation in interethnic relations. This system has already been created and we are now introducing it in the regions,” Barinov told an interregional forum of the Russian National Front in Stavropol on Sunday.

However, this program is “not a cure-all”, but the first results of its work are quite promising, he added.

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Essentially, the jobs being replaced will give rise to new roles that people can take up.

“There are new classes of jobs that we haven’t thought of yet. Those who can curate and manage the full rich data lifecycle will be a new class of professional,” Shadbolt added.


Whether you like it or not, artificial intelligence (AI) and robots are going to be a big part of the future workforce.

Amid warnings about “killer robots” from the likes of Tesla boss Elon Musk and the way in which they could take over your job, businesses are bracing for changes to the workforce over the next few years.

Kudos to Manpower’s CEO Jonas Prising — with the possibility on the horizon of a world wide loss of 5 million jobs; we need to make sure we a structure in place to absorb that hit with needs to include education & retraining and a financial support structure to help those laid off and their immediate family members (namely children). And, the earlier we can train folks; the less costly it will be for governments and countries in the long run.


Jonas Pri sing1
ManpowerJonas Prising, CEO and Executive Chairman of Manpower, spoke to Business Insider in Davos for the WEF meeting.

Over 2,500 of the world’s most powerful people have talked about the risks and opportunities surrounding “The Fourth Industrial Revolution” this week at the World Economic Forum in Davos, Switzerland.

The biggest risk that has been pointed out time and time again when Business Insider spoke to the bosses of the largest corporations in the world is two pronged.

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This all sounds extremely familiar to me for some reason. And, really ties in well with my recent articles on “AI holding your data hostage” and “Quantum Computing — things that need to be considered” — glad more folks are speaking up.


Speaking at the World Economic Forum in the Swiss Alps, Nita Farahany, a professor of law and philosophy, said the device reading brain activity could be accessed by ‘not good Samaritans’.

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Every month, we’re seeing more and more researchers and companies break the Quantum barrier by making their own Quantum Chip. Yale is the latest ones to introduce their own Quantum Chip. Next stop; a programmable Quantum Processor


In what can only be termed as a big step in the manufacture of practical quantum circuits, engineers from the Yale School of Engineering and Applied Science have created a silicon chip embedded with all the required components for a quantum processor.

Quantum computers are often portrayed as the next step in computer technology, and with good reason. Theoretically, a quantum computer would be thousands of times faster than today’s fastest supercomputers. They could also help in the creation of a practically capable AI. Quantum computers would drastically improve humanity’s data processing capabilities, and that is why researchers have been working for years towards their realization.

This article was written by Michael Gillings, Darrell Kemp, and Martin Hilbert from the University of California, Davis, and was originally published by The Conversation.

Living things accumulate and reproduce information. That’s really the driving principle behind life, and behind evolution. But humans have invented a new method of accumulating and reproducing information. It’s digital information, and it’s growing at an astonishing speed. The number of people using the internet is growing, as are the devices connected to it through the Internet of Things.

Digital information can copy itself perfectly, increases in copy number with every download or view, can be modified (mutated), or combined to generate novel information packets. And it can be expressed through artificial intelligence. These are characteristics similar to living things. So we should probably start thinking about digital technology as being like an organism that can evolve.

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I have seen this model so many times over the decades. And, I even was engaged in some of these experiments in the past. The continued problem we saw is “subjective reasoning” by humans which makes the experiments flawed.

And, as Yampolskiy suggested this is not true AI; it is using human insights and identifying patterns based on human input whch also includes subjective reasoning.


While AI focuses on creating intelligent machines that perform human tasks, a human-based algorithm, harnessing the power of the crowd to make predictions, shows remarkable accuracy.

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