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AI, and more specifically machine learning, deep learning and neural machine technology, will soon take over jobs which are currently performed by experienced and well-educated humans. Here we take a look at translators and how their job will be augmented and automated by intelligent machines.

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“This is the dark side of technological revolutions and that dark side has always been there,” Haldane added. “That hollowing out is going to be potentially on a much greater scale in the future, when we have machines both thinking and doing — replacing both the cognitive and the technical skills of humans.”


Haldane said that the so-called Fourth Industrial Revolution — a digitally-driven paradigm shift similar to previous industrial revolutions in the West — had the potential to displace numerous jobs and leave people “technologically unemployed.”

“Each of those [industrial revolutions] had a wrenching and lengthy impact on the jobs market, on the lives and livelihoods of large swathes of society,” Haldane told the BBC.

The BOE economist cautioned that previous industrial revolutions resulted in “heightened social tensions,” “financial tensions” and “inequality.” The First Industrial Revolution, which took place during the Victorian era, transformed Britain’s economy, leading to the creation of ground-breaking industrial innovations including the steam train and advanced machine tools, all the while resulting in layoffs especially in industries like textiles.

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We can’t turn back the clock, but neither is job insecurity inevitable. Just as the postwar period managed to make industrialization benefit industrial workers, we need to create new norms, institutions and policies that make digitization benefit today’s workers. Pundits have offered many paths forward — “portable” benefits, universal basic income, worker reclassification — but regardless of the option, the important thing to remember is that we do have a choice.


When we learn about the Industrial Revolution in school, we hear a lot about factories, steam engines, maybe the power loom. We are taught that technological innovation drove social change and radically reshaped the world of work.

Likewise, when we talk about today’s economy, we focus on smartphones, artificial intelligence, apps. Here, too, the inexorable march of technology is thought to be responsible for disrupting traditional work, phasing out the employee with a regular wage or salary and phasing in independent contractors, consultants, temps and freelancers — the so-called gig economy.

But this narrative is wrong. The history of labor shows that technology does not usually drive social change. On the contrary, social change is typically driven by decisions we make about how to organize our world. Only later does technology swoop in, accelerating and consolidating those changes.

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The aquaculture sector is growing, with fish farming being a key way to ensure Europe gets the quality food it needs without exploiting marine resources further. One key problem the industry faces is how to get the immature fish though their first few months – one EU project may be about to smooth the way.

Aquaculture is a growing market within the EU, bringing employment and providing a sustainable source of fish at a time when our marine life is under pressure. The main bottle-neck for the production of marine fish is the juvenile phase, especially during the time in which live diets are used. Even the established species, sea bream and sea bass, have a very low survival rate with an average of 25 percent. For new species in aquaculture, such as amberjack and tuna, the mortality is even higher.

The natural first feed for most is crustacean nauplii, the offspring of many types of crustacean zooplankton. Fish larvae is evolutionary adapted to such a diet, and it is believed that this type of prey fulfils the fish larva’s nutritional requirements.

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A BASIC income (BI) is defined as a modest, regular payment to every legal resident in the community, paid unconditionally as a right, regardless of income, employment or relationship status.

Contrary to conventional wisdom, the case for BI does not rest on the assumption that robots and artificial intelligence will cause mass unemployment or that it would be a more efficient way of relieving poverty than present welfare systems (although it would). The main arguments are ethical and relate to social justice, individual freedom and the need for basic security.

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“I think we are on the verge of a massive disruption,” Ford told me recently. “We see stagnant wages, and we see an erosion in the quality of the jobs. A lot of solid middle-class jobs are disappearing, and that alone has been remarkably disruptive… This is a big deal and I think it’s going to get get vastly bigger, and I do think that this is a subject everyone should be a bit concerned about.”


To put it bluntly: Once cars and trucks become automated, what will taxi and truck drivers do for work? Same with factory workers, fast food employees, retail clerks, and millions of other low-skill jobs that could theoretically be phased out entirely with robotics. This isn’t some sci-fi future; one report compiled recently by the McKinsey Global Institute says that advances in AI, automation and robotics will displace between 39 and 73 million jobs by 2030.

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Humanoid Robot torsos, legs, and arms are about where they need to be. But the robot hands are not quite where they need to be yet if we really want them to take all the jobs. The government is dumping a lot of money into robotic hand’s for amputees, which i’m sure they plan to eventually put on the humanoid robots, but it should be pushed along faster.


Imagine, for a moment, the simple act of picking up a playing card from a table. You have a couple of options: Maybe you jam your fingernail under it for leverage, or drag it over the edge of the table.

Now imagine a robot trying to do the same thing. Tricky: Most robots don’t have fingernails, or friction-facilitating fingerpads that perfectly mimic ours. So many of these delicate manipulations continue to escape robotic control. But engineers are making steady progress in getting the machines to manipulate our world. And now, you can help them from the comfort of your own home.

UC Berkeley and Siemens researchers have launched something called Dex-Net as a Service, a beta program that computes how and where a robot should grip objects like vases and turbine housings. You can even upload designs of your own objects. The goal: to one day get the robot in your home to call up to the cloud for tips on how to manipulate novel objects. Maybe we can even keep them from destroying the delicates.

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This podcast is from my article called, The U.S. Economy is Built on a Foundation of Sand.

While many Economists, are saying that the U.S. economy looks great and has a forward momentum, I’m going to take a different tone. Not a pessimistic tone but a realistic view based upon facts and my futurist intuitive insight.

Here are all the links for this podcast

Tesla is going to cut about 9% of its global workforce
https://www.wsj.com/articles/tesla-cutting-about-9-of-global-workforce-1528827145

McDonald’s layoffs as it restructures and streamlines management
http://www.nrn.com/quick-service/mcdonald-s-layoffs-tied-restructure-us-field-operations

IBM layoffs at Watson Health
https://www.healthcaredive.com/news/ibm-confirms-layoffs-at
Watson-health/525174/

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