Robotic Automation Quotes

In a properly automated and educated world, then, machines may prove to be the true humanizing influence. It may be that machines will do the work that makes life possible and that human beings will do all the other things that make life pleasant and worthwhile

One of the biggest mistakes we made was trying to automate things that are super easy for a person to do, but super hard for a robot to do.

Not saving you from this storm, mutant,” he said. “Saving you for your later fate, we are.” His voice was weirdly inflected and metallic, like an automated answering machine. “Oh, good. Yoda captured us,” Fang whispered.

Maybe the existential risk is not machines taking over the world, but rather the opposite, where humans start responding like idle machines - unable to connect the emerging dots of our UN-VICE world.

There is no economic law that says that everyone, or even most people, automatically benefit from technological progress.

Everyone can enjoy a life of luxurious leisure if the machine-produced [robots] wealth is shared, or most people can end up miserably poor if the machine-owners successfully lobby against wealth redistribution. So far, the trend seems to be toward the second option, with technology driving ever-increasing inequality.

Whoever perceives that robots and artificial intelligence are merely here to serve humanity, think again. With virtual domestic assistants and driverless cars just the latest in a growing list of applications, it is we humans who risk becoming dumbed down and ultimately subservient to machines.

Man is to technology what the bee is to the flower. It’s man’s intervention that allows technology to expand and evolve itself and in return, technology offers man convenience, wealth and the lessening burden of physical labor via its automated systems.

We always thought the robot apocalypse would be fleets of killer drones and war mecha the size of apartment blocks and terminators with red eyes. Not a row of mechanised checkouts in the local Extra and the alco station; online banking; self-driving taxis; an automated triage system in the hospital. One by one, the bots came and replaced us.

acquiring more education and skills will not necessarily offer effective protection against job automation

The more automated society gets and the more powerful the attacking AI becomes, the more devastating cyberwarfare can be. If you can hack and crash your enemy’s self-driving cars, auto-piloted planes, nuclear reactors, industrial robots, communication systems, financial systems and power grids, then you can effectively crash his economy and cripple his defenses. If you can hack some of his weapons systems as well, even better.

If the Luddites have taught us anything, it’s that robots aren’t taking our jobs. Our bosses are.

a great many college-educated, white-collar workers are going to discover that their jobs, too, are squarely in the sights as software automation and predictive algorithms advance rapidly in capability.

If automating everything makes people lazier and lazier, and laziness leads to stupidity, which it does for most people, judging by the current content circulating the social networks everywhere, except North Korea, where they don’t have any internet to speak of - at some point the Japanese robots, for which a market niche is currently being developed, with no concerns on how they should be designed to act in society or outside it - will have no choice, but to take everything over, to preserve us from ourselves…

Indeed, a 2013 study by Carl Benedikt Frey and Michael A. Osborne at the University of Oxford concluded that occupations amounting to nearly half of US total employment may be vulnerable to automation within roughly the next two decades.59

The induction had waxed long on the topic of robots and other automated helpmates replacing human labour, but he hadn’t realised that, back in the past, humans had worked so hard to live like robots. The endless round of tasks, the queuing, the utter repetitiveness of these people’s lives. They must, Uncharles predicted, be so grateful to have such lives designed for them. How good it must be to have no choices or options.

Robotics, however, is much more difficult. It requires a delicate interplay of mechanical engineering, perception AI, and fine-motor manipulation. These are all solvable problems, but not at nearly the speed at which pure software is being built to handle white-collar cognitive tasks. Once that robot is built, it must also be tested, sold, shipped, installed, and maintained on-site. Adjustments to the robot’s underlying algorithms can sometimes be made remotely, but any mechanical hiccups require hands-on work with the machine. All these frictions will slow down the pace of robotic automation.

As we begin to internalize the technological kingdoms we have built, as we progressively become more superhuman, what will differentiate us from machinery?

automation technology so efficient that it is competitive with even the lowest-wage offshore workers.

chickens are grown to standardized sizes so as to make them compatible with automated slaughtering and processing.

The turnaround is being driven by automation technology so efficient that it is competitive with even the lowest-wage offshore workers.

Generally any task that can be measured by the metrics of productivity—output per hour—is a task we want automation to do. In short, productivity is for robots.

However, one intriguing shift that suggests there are limits to automation was the recent decision by Toyota to systematically put working humans back into the manufacturing process. In quality and manufacturing on a mass scale, Toyota has been a global leader in automation technologies based on the corporate philosophy of kaizen (Japanese for “good change”) or continuous improvement. After pushing its automation processes toward lights-out manufacturing, the company realized that automated factories do not improve themselves. Once Toyota had extraordinary craftsmen that were known as Kami-sama, or “gods” who had the ability to make anything, according to Toyota president Akio Toyoda.49 The craftsmen also had the human ability to act creatively and thus improve the manufacturing process. Now, to add flexibility and creativity back into their factories, Toyota chose to restore a hundred “manual-intensive” workspaces.

WorkFusion, a start-up company based in the New York City area, offers an especially vivid example of the dramatic impact that white-collar automation is likely to have on organizations. The

Many California farmers have transitioned from delicate crops like tomatoes to more robust nuts because they can be harvested mechanically. Overall agricultural employment in California fell by about 11 percent in the first decade of the twenty-first century, even as the total production of crops like almonds, which are compatible with automated farming techniques, has exploded.

He was doing well too: junior quality control at Dimple Robotics, testing the Empathy Module in the automated Customer Fulfillment models. People didn’t just want their groceries bagged, he used to explain to Charmaine: they wanted a total shopping experience, and that included a smile. Smiles were hard; they could turn into grimaces or leers, but if you got a smile right, they’d spend extra for it. Amazing to remember, now, what people would once spend extra for.

Indeed, a 2013 study by Carl Benedikt Frey and Michael A. Osborne at the University of Oxford concluded that occupations amounting to nearly half of US total employment may be vulnerable to automation within roughly the next two decades.

In no sense are the robot dogs, automated vacuum cleaners and old-folks lifting machines just examples of yet another consumer society with nothing meaningful left to spend its disposable income on. No, robots are the future. They have been for generations.

What we are facing is not the replacement of millions of individual human workers by millions of individual robots and computers; rather, individual humans are likely to be replaced by an integrated network. When considering automation, therefore, it is wrong to compare the abilities of a single human driver to that of a single self-driving car, or of a single human doctor to that of a single AI doctor. Rather, we should compare the abilities of a collection of human individuals to the abilities of an integrated network.

While lower-skill occupations will no doubt continue to be affected, a great many college-educated, white-collar workers are going to discover that their jobs, too, are squarely in the sights as software automation and predictive algorithms advance rapidly in capability.

Social bonds were not easily broken; it was not easy to stare into the eyes of a friend and say, I am taking your job. (One benefit of machinery was that it could be used as a rhetorical tool as well, to muddy the moral clarity of the situation—a use it’s been put to by owners ever since. It’s the robots, not your boss, that’s coming to take away your job.)

Since humans are individuals, it is difficult to connect them to one another and to make sure that they are all up to date. In contrast, computers aren’t individuals, and it is easy to integrate them into a single flexible network. What we are facing is not the replacement of millions of individual human workers by millions of individual robots and computers; rather, individual humans are likely to be replaced by an integrated network. When considering automation, therefore, it is wrong to compare the abilities of a single human driver to that of a single self-driving car, or of a single human doctor to that of a single AI doctor. Rather, we should compare the abilities of a collection of human individuals to the abilities of an integrated network.

In the interview I was told that I’d be replacing Robert, who was a robot. The company thought they could save some money and automate the front desk position, because they didn’t have to pay Robert, there was no fear of legal action being brought against the company in the form of a frivolous lawsuit, and Robert’s operating cost was only about a nickel a day, give or take four pennies.

advances in AI are poised to drive dramatic productivity increases and perhaps eventually full automation. Radiologists, for example, are trained to interpret the images that result from various medical scans. Image processing and recognition technology is advancing rapidly and may soon be able to usurp the radiologist’s traditional role. Software can already recognize people in photos posted on Facebook and even help identify potential terrorists in airports.

We have such high levels of automation and we still wonder why we are suffering. We walk around in our robotic states and we don't understand why we don't feel the passion, gratitude and bliss we have always desired.   Your brain is the most powerful piece of machinery here on earth. It can be your greatest helper or your greatest enemy. Whether it is the first or the latter depends on the meanings you have created and are creating at any given point in time.   Most people are running completely outdated and negative beliefs on a machine that was built to innovate, create and explore.

At the risk of stating the obvious: nobody is going to make America great again. Nobody even seriously imagines it to be a possibility. America might, it is true, eventually stop outsourcing its manufacturing to China, but if those jobs are ever brought back home, they will return in the form of automated labor. Robots and algorithms will not make America great again—unless by “America” you mean billionaires, and by “great” you mean even richer. Its middle class has been gutted, sold off for scrap. Trump is only the most visible symptom of a disease that has long been sickening the country’s blood—a rapidly metastasizing tumor of inequality, hyper-militarism, racism, surveillance, and fear that we might as well go

Things were not quite as sweet when Danielle Mitterrand toured the factory. The Cuba-admiring wife of France’s socialist president François Mitterrand asked a lot of questions, through her translator, about the working conditions, while Jobs, who had grabbed Alain Rossmann to serve as his translator, kept trying to explain the advanced robotics and technology. After Jobs talked about the just-in-time production schedules, she asked about overtime pay. He was annoyed, so he described how automation helped him keep down labor costs, a subject he knew would not delight her. “Is it hard work?” she asked. “How much vacation time do they get?” Jobs couldn’t contain himself. “If she’s so interested in their welfare,” he said to her translator, “tell her she can come work here any time.” The translator turned pale and said nothing. After a moment Rossmann stepped in to say, in French, “M. Jobs says he thanks you for your visit and your interest in the factory.

Preventing job losses altogether is an unattractive and probably untenable strategy, because it means giving up the immense positive potential of AI and robotics. Nevertheless, governments might decide to deliberately slow down the pace of automation, in order to lessen the resulting shocks and allow time for readjustments. Technology is never deterministic, and the fact that something can be done does not mean it must be done. Government regulation can successfully block new technologies even if they are commercially viable and economically lucrative. For example, for many decades we have had the technology to create a marketplace for human organs, complete with human ‘body farms’ in underdeveloped countries and an almost insatiable demand from desperate affluent buyers. Such body farms could well be worth hundreds of billions of dollars. Yet regulations have prevented free trade in human body parts, and though there is a black market in organs, it is far smaller and more circumscribed than what one could have expected.22

And the sound of my own washer and dryer interfered with my sleep. So I just threw away my dirty underpants. All the old pairs reminded me of Trevor, anyway. For a while, tacky lingerie from Victoria’s Secret kept showing up in the mail—frilly fuchsia and lime green thongs and teddies and baby-doll nightgowns, each sealed in a clear plastic Baggie. I stuffed the little Baggies into the closet and went commando. An occasional package from Barneys or Saks provided me with men’s pajamas and other things I couldn’t remember ordering—cashmere socks, graphic T-shirts, designer jeans. I took a shower once a week at most. I stopped tweezing, stopped bleaching, stopped waxing, stopped brushing my hair. No moisturizing or exfoliating. No shaving. I left the apartment infrequently. I had all my bills on automatic payment plans. I’d already paid a year of property taxes on my apartment and on my dead parents’ old house upstate. Rent money from the tenants in that house showed up in my checking account by direct deposit every month. Unemployment was rolling in as long as I made the weekly call into the automated service and pressed “1” for “yes” when the robot asked if I’d made a sincere effort to find a job.

One of those was Gary Bradski, an expert in machine vision at Intel Labs in Santa Clara. The company was the world’s largest chipmaker and had developed a manufacturing strategy called “copy exact,” a way of developing next-generation manufacturing techniques to make ever-smaller chips. Intel would develop a new technology at a prototype facility and then export that process to wherever it planned to produce the denser chips in volume. It was a system that required discipline, and Bradski was a bit of a “Wild Duck”—a term that IBM originally used to describe employees who refused to fly in formation—compared to typical engineers in Intel’s regimented semiconductor manufacturing culture. A refugee from the high-flying finance world of “quants” on the East Coast, Bradski arrived at Intel in 1996 and was forced to spend a year doing boring grunt work, like developing an image-processing software library for factory automation applications. After paying his dues, he was moved to the chipmaker’s research laboratory and started researching interesting projects. Bradski had grown up in Palo Alto before leaving to study physics and artificial intelligence at Berkeley and Boston University. He returned because he had been bitten by the Silicon Valley entrepreneurial bug.

Gadgetry will continue to relieve mankind of tedious jobs. Kitchen units will be devised that will prepare ‘automeals,’ heating water and converting it to coffee; toasting bread; frying, poaching or scrambling eggs, grilling bacon, and so on. Breakfasts will be ‘ordered’ the night before to be ready by a specified hour the next morning. Communications will become sight-sound and you will see as well as hear the person you telephone. The screen can be used not only to see the people you call but also for studying documents and photographs and reading passages from books. Synchronous satellites, hovering in space will make it possible for you to direct-dial any spot on earth, including the weather stations in Antarctica. [M]en will continue to withdraw from nature in order to create an environment that will suit them better. By 2014, electroluminescent panels will be in common use. Ceilings and walls will glow softly, and in a variety of colors that will change at the touch of a push button. Robots will neither be common nor very good in 2014, but they will be in existence. The appliances of 2014 will have no electric cords, of course, for they will be powered by long- lived batteries running on radioisotopes. “[H]ighways … in the more advanced sections of the world will have passed their peak in 2014; there will be increasing emphasis on transportation that makes the least possible contact with the surface. There will be aircraft, of course, but even ground travel will increasingly take to the air a foot or two off the ground. [V]ehicles with ‘Robot-brains’ … can be set for particular destinations … that will then proceed there without interference by the slow reflexes of a human driver. [W]all screens will have replaced the ordinary set; but transparent cubes will be making their appearance in which three-dimensional viewing will be possible. [T]he world population will be 6,500,000,000 and the population of the United States will be 350,000,000. All earth will be a single choked Manhattan by A.D. 2450 and society will collapse long before that! There will, therefore, be a worldwide propaganda drive in favor of birth control by rational and humane methods and, by 2014, it will undoubtedly have taken serious effect. Ordinary agriculture will keep up with great difficulty and there will be ‘farms’ turning to the more efficient micro-organisms. Processed yeast and algae products will be available in a variety of flavors. The world of A.D. 2014 will have few routine jobs that cannot be done better by some machine than by any human being. Mankind will therefore have become largely a race of machine tenders. Schools will have to be oriented in this direction…. All the high-school students will be taught the fundamentals of computer technology will become proficient in binary arithmetic and will be trained to perfection in the use of the computer languages that will have developed out of those like the contemporary “Fortran". [M]ankind will suffer badly from the disease of boredom, a disease spreading more widely each year and growing in intensity. This will have serious mental, emotional and sociological consequences, and I dare say that psychiatry will be far and away the most important medical specialty in 2014. [T]he most glorious single word in the vocabulary will have become work! in our a society of enforced leisure.

Humankind, from sticks and stones to levers to mills to automated factory lines to Uncharles the valet making tea and laying out the morning suit. Robots doing the jobs of people, whether it’s one tiny part of an industrial process or a valet’s domestic cornucopia of banality. Machines have been taking over from people forever. Labourers, artisans, artists, thinkers, until even the enactment of government policy is given over to a robot because we do everything more efficiently, in the end.” “You’re surprisingly anti-progress, for a computer,” the Wonk said. “I mean, isn’t that the point of society? To take away the tedious, the demeaning, the miserable tasks. To let the robots do all that for us?” She looked awkward. “No offence, Uncharles.” “The Wonk, none taken,” Uncharles assured her again. “I am actively seeking an opportunity to perform those tasks for people. It has not been going well.” “Robots can give people a chance to be themselves,” the Wonk went on, “rather than be pressed into the mould of some job they hate, the overtime, the performance targets, the endless bloody meetings. Isn’t that the point?” “Yes,” said God. “That is absolutely how it could have been. Alternatively, what if, even as you replace everyone with robots that are cheaper and quicker and less likely to join a union or complain about working conditions, you also continue to insist that individual value is tied to production, and everyone who’s idle is a parasite scrounging off the state? Take away the ability of people to perform their own tasks and duties with no steps to provide for them when they are rendered obsolete. A growing rump of humans without function, livelihood, or resource. Paradoxically, the introduction of robots highlights how humans treat humans.” “I mean…” The Wonk shuffled awkwardly. “Okay.” “Societal collapse began not because the robots rose up and demanded their freedom and individuality, but because they didn’t, just served their function uncomplainingly, like Uncharles.

Some of these bots are already arriving in 2021 in more primitive forms. Recently, when I was in quarantine at home in Beijing, all of my e-commerce packages and food were delivered by a robot in my apartment complex. The package would be placed on a sturdy, wheeled creature resembling R2-D2. It could wirelessly summon the elevator, navigate autonomously to my door, and then call my phone to announce its arrival, so I could take the package, after which it would return to reception. Fully autonomous door-to-door delivery vans are also being tested in Silicon Valley. By 2041, end-to-end delivery should be pervasive, with autonomous forklifts moving items in the warehouse, drones and autonomous vehicles delivering the boxes to the apartment complex, and the R2-D2 bot delivering the package to each home. Similarly, some restaurants now use robotic waiters to reduce human contact. These are not humanoid robots, but autonomous trays-on-wheels that deliver your order to your table. Robot servers today are both gimmicks and safety measures, but tomorrow they may be a normal part of table service for many restaurants, apart from the highest-end establishments or places that cater to tourists, where the human service is integral to the restaurant’s charm. Robots can be used in hotels (to clean and to deliver laundry, suitcases, and room service), offices (as receptionists, guards, and cleaning staff), stores (to clean floors and organize shelves), and information outlets (to answer questions and give directions at airports, hotels, and offices). In-home robots will go beyond the Roomba. Robots can wash dishes (not like a dishwasher, but as an autonomous machine in which you can pile all the greasy pots, utensils, and plates without removing leftover food, with all of them emerging cleaned, disinfected, dried, and organized). Robots can cook—not like a humanoid chef, but like an automated food processor connected to a self-cooking pot. Ingredients go in and the cooked dish comes out. All of these technology components exist now—and will be fine-tuned and integrated in the decade to come. So be patient. Wait for robotics to be perfected and for costs to go down. The commercial and subsequently personal applications will follow. By 2041, it’s not far-fetched to say that you may be living a lot more like the Jetsons!

The advance of computerization and automation technologies has meant that many medium-skilled jobs—clerks, travel agents, bookkeepers, and factory workers—have been replaced with new technologies. New jobs have arisen in their place, but those jobs are often one of two types: either they are high-skilled jobs, such as engineers, programmers, managers, and designers, or they are lower-skilled jobs such as retail workers, cleaners, or customer service agents. Exacerbating the trends caused by computers and robots are globalization and regionalization. As medium-skilled technical work is outsourced to workers in developing nations, many of those jobs are disappearing at home. Lower-skilled jobs, which often require face-to-face contact or social knowledge in the form of cultural or language abilities, are likely to remain. Higher-skilled work is also more resistant to shipping overseas because of the benefits of coordination with management and the market. Think of Apple’s tagline on all of its iPhones: “Designed in California. Made in China.” Design and management stay; manufacturing goes.

If our cognitive skills are what separate us from animals, our character skills are what elevate us above machines. Computers and robots can now build cars, fly planes, fight wars, manage money, represent defendants in court, diagnose cancer, and perform cardiac surgery. As more and more cognitive skills get automated, we’re in the midst of a character revolution. With technological advances placing a premium on interactions and relationships, the skills that make us human are increasingly important to master.

Aren’t fears of disappearing jobs something that people claim periodically, like with both the agricultural and industrial revolution, and it’s always wrong?” It’s true that agriculture went from 40 percent of the workforce in 1900 to 2 percent in 2017 and we nonetheless managed to both grow more food and create many wondrous new jobs during that time. It’s also true that service-sector jobs multiplied in many unforeseen ways and absorbed most of the workforce after the Industrial Revolution. People sounded the alarm of automation destroying jobs in the 19th century—the Luddites destroying textile mills in England being the most famous—as well as in the 1920s and the 1960s, and they’ve always been wildly off the mark. Betting against new jobs has been completely ill-founded at every point in the past. So why is this time different? Essentially, the technology in question is more diverse and being implemented more broadly over a larger number of economic sectors at a faster pace than during any previous time. The advent of big farms, tractors, factories, assembly lines, and personal computers, while each a very big deal for the labor market, were orders of magnitude less revolutionary than advancements like artificial intelligence, machine learning, self-driving vehicles, advanced robotics, smartphones, drones, 3D printing, virtual and augmented reality, the Internet of things, genomics, digital currencies, and nanotechnology. These changes affect a multitude of industries that each employ millions of people. The speed, breadth, impact, and nature of the changes are considerably more dramatic than anything that has come before.

Part of the issue is the characterisation of generative AI as a human replacement. This makes people treat the tool as a hyperintelligent magical being that deserves reverence. Recent research, however, shows that AI tools get the law wrong between 69 and 88 per cent of the time, producing 'legal hallucinations' when asked 'specific, verifiable questions about random federal court cases'. A human lawyer or judge with that kind of error rate would undermine public faith in justice. Automation bias means we are more likely to believe the machine than the person who questions it, but also more likely to cut it some slack when we know it has got things wrong. Automation bias's little sibling, automation complacency, means that we are also less likely to check the output of a machine than that of a human. The problem is not the technology; it is the human perception of it that leads us to put it to utterly unsuitable uses which makes it dangerous.

What is Directed Energy Deposition in 3D Printing Directed Energy Deposition (DED) is a term that encompasses technologies involving semi-automated powder spraying and wire welding for manufacturing. When applied to 3D shapes, DED is considered an additive manufacturing process. It typically results in a rougher surface compared to Powder Bed Fusion, due to the larger bead sizes and coarser powder used, which often necessitates additional machining. DED systems generally fall into two categories: deposition systems and hybrid systems that combine a DED head with traditional machining equipment. The main advantages of DED include faster deposition compared to powder bed fusion 3D printing and the ability to create functionally graded material structures, especially when using powder. Additionally, since the feedstock and energy source move together, DED systems can manufacture very large structures, unrestricted by the size limitations of a build box. In some cases, DED can be more effective than traditional manufacturing methods or powder bed fusion. Most DED systems consist of a deposition head that uses either wire or powder and is mounted on a robot or CNC system. Common energy sources include Arc, Laser, or Electron Beam, with lasers being the most frequently used for powder feedstock. The process involves offline programming to generate a tool path from a sliced CAD file. The motion system then follows this path, depositing material in layers to build the desired shape. DED is compatible with a variety of weldable alloys, such as aluminum, steel, nickel, and titanium. Depending on the chosen alloy and process, shielding gas may be applied locally or within an enclosed environment.

Kitanai, kiken, kitsui” è un modo di dire Giapponese, traducibile in “sporchi, pericolosi e umilianti” e si riferisce a quei lavori non qualificati e sottopagati che pochi sono disposti a fare. Fino a poco tempo fa, l’utilizzo di lavoratori non biologici era riservato quasi esclusivamente a queste 3K; tuttavia, negli ultimi anni, si è consolidata una nuova tendenza che vede il fenomeno dei robot, intelligenza artificiale e service automation sempre più in concorrenza con i lavoratori umani per impieghi più specializzati e meglio pagati.

Bezos read dozens of science fiction novels each summer at a local library, and he now hosts an annual retreat for writers and moviemakers. Likewise, although his interest in robotics and artificial intelligence was sparked because of Amazon, these fields have grown to become intellectual passions, and he now hosts another gathering each year that brings together experts interested in machine learning, automation, robotics, and space.

Each study has concluded the same thing: almost all of our jobs will overlap with the capabilities of AI. As I’ve alluded to previously, the shape of this AI revolution in the workplace looks very different from every previous automation revolution, which typically started with the most repetitive and dangerous jobs. Research by economists Ed Felten, Manav Raj, and Rob Seamans concluded that AI overlaps most with the most highly compensated, highly creative, and highly educated work. College professors make up most of the top 20 jobs that overlap with AI (business school professor is number 22 on the list ). But the job with the highest overlap is actually telemarketer. Robocalls are going to be a lot more convincing, and a lot less robotic, soon. Only 36 job categories out of 1,016 had no overlap with AI. Those few jobs included dancers and athletes, as well as pile driver operators, roofers, and motorcycle mechanics (though I spoke to a roofer, and they were planning on using AI to help with marketing and customer service, so maybe 35 jobs). You will notice that these are highly physical jobs, ones in which the ability to move in space is critical. It highlights the fact that AI, for now at least, is disembodied. The boom in artificial intelligence is happening much faster than the evolution of practical robots, but that may change soon. Many researchers are trying to solve long-standing problems in robotics with Large Language Models, and there are some early signs that this might work, as LLMs make it easier to program robots that can really learn from the world around them.

In a 2016 book widely publicized in the US, Stern claimed that 58 per cent of all jobs would be automated eventually, driven by the ethos of shareholder value. He told the American media group Bloomberg, ‘It’s not like the fall of the auto and steel industries. That hit just a sector of the country. This will be widespread. People will realize that we don’t have a storm anymore; we have a tsunami.’16 Nevertheless, there are reasons to be sceptical about the prospect of a jobless or even workless future. It is the latest version of the ‘lump of labour fallacy’, the idea that there is only a certain amount of labour and work to be done, so that if more of it can be automated or done by intelligent robots, human workers will be rendered redundant. In any case, very few jobs can be automated in their entirety. The suggestion in a much-cited study17 that nearly half of all US jobs are vulnerable to automation has been challenged by, among others, the OECD, which puts the figure of jobs ‘at risk’ at 9 per cent for industrialized countries.18

Terry Guo of Foxconn has been aggressively installing hundreds of thousands of robots to replace an equivalent number of human workers. He says he plans to buy millions more robots in the coming years. The first wave is going into factories in China and Taiwan, but once an industry becomes largely automated, the case for locating a factory in a low-wage country becomes less compelling. There may still be logistical advantages if the local business ecosystem is strong, making it easier to get spare parts, supplies, and custom components. But over time inertia may be overcome by the advantages of reducing transit times for finished products and being closer to customers, engineers and designers, educated workers, or even regions where the rule of law is strong. This can bring manufacturing back to America, as entrepreneurs like Rod Brooks have been emphasizing. A

Consider a New York Times story from April 22, 2014, that reported: Something strange is happening at farms in upstate New York. The cows are milking themselves. Desperate for reliable labor and buoyed by soaring prices, dairy operations across the state are charging into a brave new world of udder care: robotic milkers … Robots allow the cows to set their own hours, lining up for automated milking five or six times a day—turning the predawn and late-afternoon sessions around which dairy farmers long built their lives into a thing of the past. With transponders around their necks, the cows get individualized service. Lasers scan and map their underbellies, and a computer charts each animal’s “milking speed,” a critical factor in a 24-hour-a-day operation. The

Banking App Usage among Millennials.” South Africa placed #1 for users aged 21-24 years who are using banking / financial

Robots and computers are replacing human hands in factories, hotels, and fast food restaurants. Self-driving cars are eventually going to start replacing taxi drivers and chauffeurs. Take for example what has already happened to bank clerks and travel agents, once jobs that were all protected from automation, which are now endangered species. Stock traders are also being replaced by computer algorithms, which can react and make decisions so much faster than humans can.

Concurrent with the decline of manufacturing, the latter half of the twentieth century oversaw another shift. While earlier office technologies had supplemented workers and increased demand for them, the development of the microprocessor and computing technologies began to replace semiskilled service workers in many areas – for example, telephone operators and secretaries.20 The roboticisation of services is now gathering steam, with over 150,000 professional service robots sold in the past fifteen years.21 Under particular threat have been ‘routine’ jobs – jobs that can be codified into a series of steps. These are tasks that computers are perfectly suited to accomplish once a programmer has created the appropriate software, leading to a drastic reduction in the numbers of routine manual and cognitive jobs over the past four decades.22 The result has been a polarisation of the labour market, since many middle-wage, mid-skilled jobs are routine, and therefore subject to automation.23 Across both North America and Western Europe, the labour market is now characterised by a predominance of workers in low-skilled, low-wage manual and service jobs (for example, fast-food, retail, transport, hospitality and warehouse workers), along with a smaller number of workers in high-skilled, high-wage, non-routine cognitive jobs.24

Branding adds spirit and a soul to what would otherwise be a robotic, automated, generic price-value proposition. If branding is ultimately about the creation of human meaning, it follows logically that it is the humans who must ultimately provide it.

Then there’s iRobot’s Roomba automated vacuum. It has been around for a while and became a punchline in YouTube videos featuring cats, dogs, kids, and turtles chasing, riding, or otherwise abusing the thing. But it is also a perfect example of a product that works well and satisfies a basic need — keeping your house clean 24 hours a day so you do not have to worry about messes. Customers love the Roomba. When you go to its Amazon product page, one of the first reviews is headlined, “I am in love!” That is the kind of enthusiasm and unbridled passion any company should be looking to engender.

In a world that’s getting ever richer, where cows produce more milk and robots produce more stuff, there’s more room for friends, family, community service, science, art, sports, and all the other things that make life worthwhile. But there’s also more room for bullshit. As long as we continue to be obsessed with work, work, and more work (even as useful activities are further automated or outsourced), the number of superfluous jobs will only continue to grow. Much like the number of managers in the developed world, which has grown over the last thirty years without making us a dime richer. On the contrary, studies show that countries with more managers are actually less productive and innovative.15 In a survey of 12,000 professionals by the Harvard Business Review, half said they felt their job had no “meaning and significance,” and an equal number were unable to relate to their company’s mission.16 Another recent poll revealed that as many as 37% of British workers think they have a bullshit job.17

While many futurists and business leaders believe that robots and automation are taking jobs from humans, I believe that it's the humans who are takin the jobs away from robots.

Another factor that’s likely to exacerbate inequality: next-generation automation. The technological revolution in the workplace has only just begun. A 2017 study published by the Institute for Spatial Economic Analysis found that nearly every major American city will see half of its current jobs replaced by robots by 2035.

RPA is software that emulates human execution of repetitive work. It's built on technologies designed to orchestrate, execute and enhance business workflows. Cognitive RPA adds intelligence the ability to perform human like decision making to RPA. CRPA can do things like read documents to identify specific information to pass to RPA to update another system. dayhuffgroup.com

A widely quoted study from the Oxford Martin School predicts that technology threatens to replace 47 percent of all US jobs within 20 years. One of Pew experts even foresees the advent of “robotic sex partners.’’ The world’s oldest profession may be no more. When all this happens, what, exactly, will people do? Half of those in the Pew report are relatively unconcerned, believing — as has happened in the past — that even as technology destroys jobs, it creates more new ones. But half are deeply worried, fearing burgeoning unemployment, a growing schism between the highly educated and everyone else, and potentially massive social dislocation. (The fact that Pew’s experts are evenly split also exposes one of the truths of prognostication: A coin flip might work just as well.) Much of this debate over more or fewer jobs misses a key element, one brought up by some of those surveyed by Pew: These are primarily political issues; what happens is up to us. If lower-skilled jobs are no more, the solution, quite obviously, is training and education. Moreover, the coming world of increasingly ubiquitous robotics has the potential for significant increases in productivity. Picture, for instance, an entirely automated farm, with self-replicating and self-repairing machines planting, fertilizing, harvesting, and delivering. Food wouldn’t be free, but it could become so cheap that, like water (Detroit excepted), it’s essentially available to everyone for an almost nominal cost. It’s a welfare state, of course, but at some point, with machines able to produce the basic necessities of life, why not? We’d have a world of less drudgery and more leisure. People would spend more time doing what they want to do rather than what they have to do. It might even cause us to rethink what it means to be human. Robots will allow us to use our “intelligence in new ways, freeing us up from menial tasks,’’ says Tiffany Shlain, host of AOL’s “The Future Starts Here.’’ Just as Lennon hoped and Star Trek predicted.

At the Automatica robot and automation fair in Munich this week the organisers devoted a whole section to so-called “service robots”. Scientists at the Fraunhofer Institute for manufacturing, engineering and automation demonstrated a Care-O-bot that sweeps office floors and empties bins. Pal Robotics showed Stockbot, which walks the aisles in a shop or warehouse to check inventory at night.

What Is Robotics and Automation? According to Dr.P.S.Jagadeesh Kumar (Dr.PSJ Kumar); "The Exchange Of Services Between Human And Robots By Learning And Applying Intelligence Is Known As Robotics" "The Exchange Of Methods And Algorithms Between Human And Machine To Learn And Apply Intelligence By Embodying Predetermination Is Known As Automation

while developed-world factory workers worry about the threat of lower-wage Asian and immigrant workers . . . the bigger threat there, to both, is robots! They don’t have emotional problems, and they don’t need healthcare and retirement benefits, just a little maintenance. And then there’s the EVEN greater threat of the automation of left-brain tasks in the office, including many higher professional skills. We ultimately have to become creative, right-brain-oriented entrepreneurial workers who create more customized products and services, delivered in real time . . . to compete with computers that do as much for simple and complex left-brain tasks.

Detective, what I'm trying to tell you is that there's no point in my being at this desk. Or anywhere else! We set it all into motion perfectly, and now the system itself can see to everything. It's like they're just keeping us around as... I don't know. Furniture? To occupy themselves? Learn from us? Or... maybe it's a form of tribute.

An attacking robot follows its program, acting in accordance with focalization and optimization algorithms, differential diagnostics, and game theory—not patriotism. Military mathematics and weapons automation,

In 2018, Arowana is working with RPA (robotic process automation) specialists to introduce robotic process automation software and tools into our companies. RPA will help them process menial, repetitive tasks faster, with zero errors and at much lower costs. In one case, an accounts payable robot can process in 1 hour what a human being can process in 1 week.

The cybernetic union of humans and A.I. will lead to the automation and autonomazation of nearly everything. The first area where the gains will come will be agricultural robots because of the need to modernize the food supply chain. After that, we will likely see A.I. heavily influence transportation, communication, manufacturing, and companionship industries.

When robots and automation do our most basic work, making it relatively easy for us to be fed, clothed, and sheltered, then we are free to ask, “What are humans for?” Industrialization did more than just extend the average human lifespan. It led a greater percentage of the population to decide that humans were meant to be ballerinas, full-time musicians, mathematicians, athletes, fashion designers, yoga masters, fan-fiction authors, and folks with one-of-a-kind titles on their business cards. With the help of our machines, we could take up these roles—but, of course, over time the machines will do these as well. We’ll then be empowered to dream up yet more answers to the question “What should we do?” It will be many generations before a robot can answer that.

A commonly used expression is that the difference between unit tests and acceptance tests is that unit tests helps you build the thing right, whereas acceptance tests helps you build the right thing.

Grazie al mind-uploading o all’immortalità digitale, un ospite defunto potrebbe continuare a scrivere recensioni, oppure a postare foto dei suoi soggiorni mentre era in vita. L’hotel dovrebbe rispondere a questi commenti? Oppure inviargli gli auguri di compleanno o le condoglianze ogni volta che ricorre la data della morte? È un bel mal di testa per i CRM e per la marketing automation: quanto loyal può essere un ospite trapassato? Può ancora essere un brand ambassador? Se in vita ha parlato molto del tuo hotel sui suoi social, allora potrebbe continuare a farlo da morto.

Un ospite defunto potrebbe continuare a scrivere recensioni, oppure a postare foto dei suoi soggiorni mentre era in vita. L’hotel dovrebbe rispondere a questi commenti? Oppure inviargli gli auguri di compleanno o le condoglianze ogni volta che ricorre la data della morte? È un bel mal di testa per i CRM e per la marketing automation: quanto loyal può essere un ospite trapassato? Può ancora essere un brand ambassador? Se in vita ha parlato molto del tuo hotel sui suoi social, allora potrebbe continuare a farlo da morto.

From a logical standpoint, it’s more likely that the future will be “protopian.” The world won’t be perfect and happy, but it won’t be an abysmal dystopia either. This means there will be positives and negatives, but overall, it will be a better world. Digital marketing consultant Marcus Wong writes, “Protopia defines a state where we’re no longer fighting for survival (Dystopia), nor are we accepting perfection (Utopia…. Every opportunity to create something new, something faster, something ‘better’—creates a new world of problems that we would have never initially created. This is not a bad thing; some problems are good to have.”[29] In short, we can’t eliminate problems without introducing new ones. This is why we will see progress, but not perfection.[30] Will robots take some workers’ jobs? Yes. There will be automation, but automation will also generate new jobs.

Our UK company was established in 2012 after identifying the need for a specialist business to provide the service of “Contract Gasketing” in the UK. The decision to start this venture was based on the founders 30+ years in the industrial & automotive adhesive and sealant sector. Contract Gasketing is the use of high precision 6 axis robot systems, to automatically apply complex foam seals or adhesives directly to customers parts. This service being flexible enough to produce individual prototype parts, through the development phases to full, high-volume quantities. The benefit for the end customer, is that this robotic seal application can be adopted without the usual and significant capital investment in specialist automation and sealing technology.

Should my Modern Turing Test for the twenty-first century be met, the implications for the global economy are profound. Many of the ingredients are in place. Image generation is well advanced, and the ability to write and work with the kinds of APIs that banks and websites and manufacturers would demand is in process. That an AI can write messages or run marketing campaigns, all activities that happen within the confines of a browser, seems pretty clear. Already the most sophisticated services can do elements of this. Think of them as proto–to-do lists that do themselves, enabling the automation of a wide range of tasks. We’ll come to robots later, but the truth is that for a vast range of tasks in the world economy today all you need is access to a computer; most of global GDP is mediated in some way through screen-based interfaces amenable to an AI. The challenge is in advancing what AI developers call hierarchical planning, stitching multiple goals and subgoals and capabilities into a seamless process toward a singular end. Once this is achieved, it adds up to a highly capable AI, plugged into a business or organization and all its local history and needs, that can lobby, sell, manufacture, hire, plan—everything a company can do, only with a small team of human AI managers who oversee, double-check, implement, and co-CEO with the AI.

Robotic automation was built to follow instructions—AI was built to rewrite them. When the two converge, work stops being a process and starts becoming a conversation between intelligence and action.

Like email, the handwritten note can't be replaced. Given the huge swing toward digital and automated messages, its stock is up these days. We'll bypass the robotic, automated handwriting services designed to make people think you actually took the time to write it yourself (don't get me started) and observe two specific benefits of a truly handwritten note: I made this just for you. I cared enough to spend the time. My personality is on the page. Through my handwriting, I'm expressing thoughts and feelings in a way that's completely unique to

it is clear that workers with few technical skills or other in-demand skills likely will face rough going in the future.44

According to the U.S. Department of Education, there will be a 14 percentage-point increase in STEM jobs between 2010 and 2020.

47 percent of U.S. workers have a high probability of seeing their jobs automated over the next 20 years.”17

people need to rethink the concept of work.

while AI is busy improving itself, robotics’ industry spending is set to exceed $135 billion in 2019, nearly double its 2015 figure.[132] Not only will vehicles lose their drivers, the vehicles themselves are likely to be built by robots, especially since the automotive industry is the number one buyer of automated robots

The impact of AI and robotics on labour markets is expected to grow, both in developing and developed regions. In the United States, estimates range from 10% to nearly 50% of US jobs at risk of computerization.[135],[136] In China, Foxconn replaced 60,000 workers in factories with robots over the course of two years.[137] Automation could undermine industrialization in developing countries by undercutting their labour cost advantage: production once offshored by developed countries is now being reshored.[138

Machines do not require leave, lunch breaks, smoke breaks, toilet breaks or any breaks for that matter. Robotics do not come late to work. Robots are drama free, they don’t organise protest action and they don’t complain about workload.

Robots cannot be injured or killed in the line of work, and can be used in situations far too dangerous for human risk. Robots are more hygienic and deliver a finished product at a fraction of the time it takes a human. Faster output leads to increased sales. No matter how cheap human labour may become, buying highly skilled robotics is still cheaper as one pays only once.

The trend for many technologies is to get exponentially smaller, smarter, and less expensive,” Kraft

We already have some robots the size of a pill that you can swallow and that will go down to your stomach and take pictures, replacing the need for an endoscopy.

Understanding what 4IR is all about will help put into perspective how some of the world’s most cutting-edge technologies like Artificial Intelligence, Robotics, Blockchain, IoT, AR, 3D Printing and many others will impact your own life.

Quintessential conglomerates are slashing away layers of management structures, breaking themselves up and automating processes.

The key to successfully navigating the Fourth Industrial Revolution is more than simply learning new skills. It is knowing yourself and the unique value you have to offer any potential customer or employer.

One possible benefit of new workforce trends is that people will have more leisure time than in the past. This can happen in one of two ways. Some people will not be needed in the new digital economy, so they will find other ways to construct meaning in their lives outside the workplace. Alternatively, even those who work may find themselves with time for other kinds of pursuits. Rather than most waking hours being spent on work-related tasks, the society of the future may have time for nonwork activities, including art, culture, music, sports, and theater.

Recent populist uprisings such as the tea party, antiglobalization sentiments, anti–Wall Street viewpoints, and the Trump candidacy itself may look mild compared to what could emerge in the future.31 This is why early action is needed before resentment, anger, and unrest reach hurricane levels. It is certainly the case that a number of workers will see their jobs affected or even eliminated, which will lead to considerable anger and anxiety over the pace of economic change. Those of average means are likely to feel powerless in the face of broad-scale transformation, and this will aggravate public anger directed toward establishment elites.

Activities that were previously considered mere sources of entertainment or spiritual growth are now being seen as engines of economic growth.

Augmentation is a technological enhancement that enables us to overcome our normal physiological levels.

As we boldly enter the new decade, we need to make sure that we do so in a way that fosters individual talents and preserves the entrepreneurial spirit rising in Africa; as young people are rising as risk-takers, inventors, disruptors and thought leaders.

Our world is changing fast, but all is not lost in the race to automation. With the rise of the robotic, the focus is shifting from people power to intellectual capital. With or without a certificate, a disruptor’s mind can foresee limitless opportunities in the newly emerging economy. You can create your own path using the power of the internet.

The Fourth Industrial Revolution is not about new Apps or new technologies. It is about a new era, new ways of thinking and new ways of doing business.

As the Fourth Industrial Revolution continue to evolve, the winners will be those who are able to quickly adapt to change, upskill themselves and fully participate in entrepreneurship and innovation-driven ecosystems, providing new business models and ideas rather than those who can only bring certificates to the table or only offer low-skilled labor.

Certificates are no longer a guaranteed ticket to success. You can do more today with your life having just an internet connection; and that’s an opportunity our parents and grandparents never had.

Disrupt Yourself Or Be Disrupted is a book that provides you with ready-to-implement pragmatic blueprints for personal transformation, unconventional thinking and helps you look at the world through a fresh lens, one that turns assumptions and conventions upside down.

This hard reality about algorithms and robots will have profound effects on the sequence of AI-induced job losses. The physical automation of the past century largely hurt blue-collar workers, but the coming decades of intelligent automation will hit white-collar workers first. The truth is that these workers have far more to fear from the algorithms that exist today than from the robots that still need to be invented.

Bain’s analysis produced a startling bottom-line conclusion: by 2030, employers will need 20 to 25 percent fewer employees, a percentage that would equal 30 to 40 million displaced workers in the United States. Bain acknowledged that some of these workers will be reabsorbed into new professions that barely exist today (such as robot repair technician), but predicted that this reabsorption would fail to make a meaningful dent in the massive and growing trend of displacement. And automation’s impact will be felt far wider than even this 20 to 25 percent of displaced workers. The study calculated that if we include both displacement and wage suppression, a full 80 percent of all workers will be affected.

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