Equipment to sort recycled plastic is shown at the Repreve Bottle Processing Center, part of the Unifi textile company in Reidsville, N.C. HOW BIG IS THE PROBLEM? American factory production, minus raw materials and some other costs, more than doubled over the same span to $1.91 trillion last year, according to the Commerce Department, which uses 2009 dollars to adjust for inflation For jobs which involve performing predictable physical activities, the researchers say the feasibility of automation is roughly 78 percent. Research shows that the automation of U.S. factories is a much bigger factor than foreign trade in the loss of factory jobs A study at Ball State University's Center for Business and Economic Research last year found that trade accounted for just 13 percent of America's lost factory jobs. The views expressed in the contents above are those of our users and do not necessarily reflect the views of MailOnline.

Artificial intelligence (AI) is in the midst of a renaissance. New techniques are producing results, such as the defeat of a Go world champion by an AI system developed by a subsidiary of Google, which would have been unthinkable five years ago. These techniques are not just being used to play games. Today, AI is being applied to one of humanity's most daunting challenges: the hunt for a cure for cancer. AI has huge potential for helping scientists manage the mind-boggling complexities of research and other data, to expedite cancer drug discovery and translate scientific findings into real benefits for patients.

We are living in a digital era where Customer is the king. Many businesses have capitulated to this new realm and have started interacting with customers dynamically. Today the customers are free to navigate a merchant (eCommerce) website any way they fancy. Also the merchant can display content and place offers dynamically based on how a given customer interacts with his website. To add to the complexity purchase decisions are not necessarily made on the first visit itself.

Usually, if your robot is warm to the touch, it's symptomatic of some sort of horrific failure of its cooling system. Robots aren't supposed to be warm-- they're supposed to be steely and cold. Heat is almost always a byproduct that needs to be somehow accounted for and dealt with. Humans and many other non-reptiles expend a lot of energy keeping at a near-constant temperature, and as it turns out, being warmish all the time provides a lot of fringe benefits, including the ability to gather useful information about things that we touch. Now robots can have this ability, too.

Manufacturing is still flourishing, even as machines do increasing amounts of work. Photo via Getty Images WASHINGTON -- Donald Trump blames Mexico and China for stealing millions of jobs from the United States. Would Trump disrupt the economy? This billionaire hopes so Trump says he'll bring jobs back to America. Economists are skeptical Column: Trump's outrage over outsourcing doesn't apply to his own merchandise Despite the Republican presidential nominee's charge that "we don't make anything anymore," manufacturing is still flourishing in America.

Take it from a former wine seller when I say that wine snobs are the worst, constantly trying to prove the the extent of their oenophilia. Cambridge Consultants feels that technology should be able to get us past that moment of panic that comes when you're asked to choose a wine. The company has created Vinfusion, a device that enables people to blend a glass of wine that's been customized to their specific requirements. Vinfusion itself is a series of pipes, pumps, sensors and controllers that are designed to sit below the counter of a high-end bar or in a rich person's kitchen. Mounted into the tabletop is a tap that's connected to a conical centrifuge that rolls down toward the pouring spout. Sat beside the Vinfusion tap is a tablet with an app that lets you pick a wine to match your menu or customize one yourself.

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NEC Corporation, one of Japan's biggest IT providers, says it has built an AI that can rapidly search CCTV footage and spot a specific person out of a million or more faces. The application – snappily titled NeoFace Image data mining – can find wanted criminals, missing kids, and so on, all from video surveillance. We're told "when searching video where roughly one million individual instances of facial data appear, the software is capable of conducting searches within approximately 10 seconds." In other words, you can feed 24 hours of CCTV into NeoFace, and it could identify, say, a million faces in the video frames. Then when you need to find a sought-after person, the software will take just seconds to scan the database and locate them.

Can we have creative that scales and customizes itself? Chatbots are treated like the simpletons of the artificial intelligence world, overshadowed by movie-trailer-creating Watson and its ilk, or the suggestion engines of huge etailers. But a good implementation of a simple chatbot requires a deft understanding of the interplay between man and machine. And as technology slingshots us forward, the comprehension of this "in-between" space will be a prerequisite for any brand or advertiser hoping to make it in a world profuse with new and amazing digital experiences. When, and how, do we "hand off" the experience from the machine to the human, and vice versa? Programmatic targeting is facing a similar issue, in an industry unsure how the coupling mechanism between man and machine should work.

This week – a massive investment in the world's first neural prosthetic for human intelligence enhancement, Chinese version of DARPA's Grand Challenge, MIT is ready for Halloween with a horror AI, the self-driving truck delivered a precious cargo of 50 000 beers and more! Bryan Johnson announced he's investing $100M dollars into Kernel, a company that built the world's first neural prosthetic for human intelligence enhancement. Bryan said he did it "in an effort to enhance human intelligence and reimagine our future. Unlocking our brain is the most significant and consequential opportunity in history -- and it's time sensitive." Wired takes a closer look at three teams that were competing at the first Cyborg Olympics – one from exoskeleton race, one from arm prosthetic competition and one that was stimulating paralyzed muscles in a cycling race.