YouTuber and robot enthusiast Anthony Murney noticed YouTube has removed hundreds of videos showing robots battling other robots after claiming they are in breach of its rules surrounding animal cruelty. He's blaming a new algorithm introduced by YouTube to detect instances of animal abuse. The Independent reports: Several other channels dedicated to robot combat have also produced videos pointing out the issue in an effort to get YouTube to restore the content. Channels posting robot combat videos saw their content removed and received a notice from YouTube explaining that the videos were in breach of its community guidelines. Each notice cited the same section of these guidelines, which states: "Content that displays the deliberate infliction of animal suffering or the forcing of animals to fight is not allowed on YouTube." It goes on to state: "Examples include, but are not limited to, dog fighting and cock fighting."

In just 16 days XKCD author Randall Munroe releases a new book titled How To: Absurd Scientific Advice for Common Real-World Problems. He's just released an excerpt from the chapter "How to Catch a Drone," in which he actually enlisted the assistance of tennis star Serena Williams.

An anonymous reader writes: Serena and her husband Alexis just happened to have a DJI Mavic Pro 2 with a broken camera -- and Munroe asked her to try to smash it with tennis balls. "My tentative guess was that a champion player would have an accuracy ratio around 50 when serving, and take 5-7 tries to hit a drone from 40 feet. (Would a tennis ball even knock down a drone? Maybe it would just ricochet off and cause the drone to wobble! I had so many questions.)

"Alexis flew the drone over the net and hovered there, while Serena served from the baseline..."

His blog has the rest of the story, and Munroe has even illustrated the experiment, promising that the book also contains additional anti-drone strategies, an analysis of other sports projectiles, and "a discussion with a robot ethicist about whether hitting a drone with a tennis ball is wrong."

Long-time Slashdot reader Ken McE shared a video of a new working prototype for a wearable tail.

Engadget reports: There are lots of companies who make wearable tails for humans, but they're usually for cosplay or other entertainment pursuits. Researchers at Keio University in Japan have created a wearable animated tail that promises to genuinely augment the wearer's capabilities -- not just appearance -- by improving their balance and agility.

The easiest way to understand what inspired this creation is to watch a video of monkeys effortlessly leaping from tree to tree. Their tails not only serve as an additional limb for grasping branches but also help them reposition their bodies mid-flight for a safe landing by shifting the monkey's center of balance as it moves. The Arque tail, as it's been named, does essentially the same thing for humans, although leaping from the highest branches of a tree isn't recommended just yet.... Inside the tail are a set of four artificial muscles powered by compressed air that contract and expand in different combinations to move and curl the tail in any direction.
Though the researchers have built a prototype, their video describes it as a "proposed tail" -- specifically, an artificial biomimicry-inspired anthropomorphic one. So how exactly would the tail controlled externally? The video describes its ability "to passively provide forces to the user's body based on the estimated center of gravity of his posture in order to correct his body balance." So basically, the tail would have a mind of its own, like the arms of Doctor Octopus?

"We also demonstrated a different approach for using the tail other than equilibrium maintenance, which is to change the center of mass of the user to off-balance his posture."

By the end of the year, Stop & Shop will have installed 500 "giant, gray, aisle-patrolling robots" in its chains of stores, reports Mashable, starting in Connecticut, Massachusetts, Rhode Island, and New Jersey.

"Attention shoppers: I've seen the future of grocery store technology, and let me tell you, we can do better." Each of the robots weighs a massive 140-pounds and costs a whopping $35,000. Oddly, all of the robots are named Marty, and atop their tall frames -- which tower over my own 5 foot, 3 inch stature -- rests a large pair of google eyes. You know, so as not to come off as complete faceless, emotionless, lifeless bots. If you're confused as to what these rolling mechanical columns do, Martys also wear the following description on their bodies like a name tag:

This store is monitored by Marty for your safety. Marty is an autonomous robot that uses image capturing technology to report spills, debris, and other potential hazards to store employees to improve your shopping experience.

Essentially, once Marty identifies a hazard using its sensors, it stops in its tracks, changes its signature operating lights from blue to yellow, and repeatedly announces "caution, hazard detected," in English and Spanish. One of several catches to their existence, however, is that the robots don't actually clean anything...

[O]ne of the robot's major flaws that its sensors appear to treat each hazard with the same level of caution. A harmless bottle cap or errant piece of cilantro will elicit the same response as a spill of clear liquid that someone could genuinely slip and injure themselves on, which means that in certain cases an employee may have to take time that could be spent interacting with a customer to walk across the store and grab a puny little grape that escaped a bag.
One customer complained on Twitter that the robot "just roams around and makes ominous beeps constantly."

And one employee confided told the New Food Economy site that "It's really not doing much of anything besides getting in the way."

An anonymous reader quotes a report from the BBC An artificial intelligence system should be recognized as the inventor of two ideas in patents filed on its behalf, a team of academics says. The AI has designed interlocking food containers that are easy for robots to grasp and a warning light that flashes in a rhythm that is hard to ignore. Patents offices insist innovations are attributed to humans -- to avoid legal complications that would arise if corporate inventorship were recognized. The academics say this is "outdated." And it could see patent offices refusing to assign any intellectual property rights for AI-generated creations. As a result, two professors from the University of Surrey have teamed up with the Missouri-based inventor of Dabus AI to file patents in the system's name with the relevant authorities in the UK, Europe and US. Dabus is designed to develop new ideas, which is "traditionally considered the mental part of the inventive act," according to creator Stephen Thaler.

Law professor Ryan Abbott told BBC News: "These days, you commonly have AIs writing books and taking pictures - but if you don't have a traditional author, you cannot get copyright protection in the US. So with patents, a patent office might say, 'If you don't have someone who traditionally meets human-inventorship criteria, there is nothing you can get a patent on.' In which case, if AI is going to be how we're inventing things in the future, the whole intellectual property system will fail to work." He suggested an AI should be recognized as being the inventor and whoever the AI belonged to should be the patent's owner, unless they sold it on.

Researchers from Tsinghua University in China and University of California, Berkeley, have developed a new kind of soft robot that looks like a bent strip of paper, but is able to move at 20 body lengths per second and survive being stomped on. The robot has been presented in the current issue of Science Robotics. IEEE Spectrum reports: This prototype robot measures just 3 centimeters by 1.5 cm. It takes a scanning electron microscope to actually see what the robot is made of -- a thermoplastic layer is sandwiched by palladium-gold electrodes, bonded with adhesive silicone to a structural plastic at the bottom. When an AC voltage (as low as 8 volts but typically about 60 volts) is run through the electrodes, the thermoplastic extends and contracts, causing the robot's back to flex and the little "foot" to shuffle. A complete step cycle takes just 50 milliseconds, yielding a 200 hertz gait. And technically, the robot "runs," since it does have a brief aerial phase.

The researchers also put together a prototype with two legs instead of one, which was able to demonstrate a potentially faster galloping gait by spending more time in the air. They suggest that robots like these could be used for "environmental exploration, structural inspection, information reconnaissance, and disaster relief," which are the sorts of things that you suggest that your robot could be used for when you really have no idea what it could be used for. But this work is certainly impressive, with speed and robustness that are largely unmatched by other soft robots. An untethered version seems possible due to the relatively low voltages required to drive the robot, and if they can put some peanut-sized sensors on there as well, practical applications might actually be forthcoming sometime soon.

An anonymous reader shares a report: Baseball's future has arrived in the Atlantic League, a collection of eight independent professional teams that span from New Britain, Conn., to Sugar Land, Texas. Last week marked the introduction of the most significant innovation: an automated strike zone, shifting responsibility for calling balls and strikes from a person to an emotionless piece of technology free of the biases and inconsistencies of mere humans. And if the test goes well, the days of big-league players imploring umps to schedule an eye exam could soon come to an end.

Ducks manager Wally Backman predicted that MLB will adopt the system within five years. "It's going to happen," he said. "There have been a few pitches that are questionable, but not as many as if it was a human. The machine is definitely going to be more right than they are." Every Atlantic League stadium, including the Patriots' TD Bank Ballpark in Central New Jersey, now features a TrackMan device perched high above the plate. It uses 3-D Doppler radar to register balls and strikes and relays its "decision" through a secure Wi-Fi network to the umpire, equipped with an iPhone in his pocket connected to a wired earbud. That umpire, positioned behind the plate as normal, hears a man's voice saying "ball" or "strike" and then signals the verdict.

CNBC reports that to solve America's recycling crisis, "companies and municipalities are turning to AI-assisted robots." The problem began last year when China, the world's largest recyclable processor, stopped accepting most American scrap plastic and cardboard due to contamination problems, and a glut of plastics overwhelming its own processing facilities. Historically, China recycled the bulk of U.S. waste... The situation is dire for many local economies as recycling costs skyrocket. It's forced many cities and some small communities to stop recycling all together. Now more waste is ending up in landfills and incinerators.

To tackle this environmental catastrophe, U.S. companies and researchers are developing AI-assisted robotic technology that can work with humans in processing plants and improve quality control. The goal is to have robots do a better job at sorting garbage and reduce the contamination and health hazards human workers face in recycling plants every day. Sorting trash is a dirty and dangerous job. Recycling workers are more than twice as likely as other workers to be injured on the job, according to a report at the University of Illinois School of Public Health. The profession also has high fatality rates.

The way the robots work is simple. Guided by cameras and computer systems trained to recognize specific objects, the robots' arms glide over moving conveyor belts until they reach their target. Oversized tongs or fingers with sensors that are attached to the arms snag cans, glass, plastic containers, and other recyclable items out of the rubbish and place them into nearby bins. The robots -- most of which have come online only within the past year -- are assisting human workers and can work up to twice as fast.

An anonymous reader quotes a report from The Verge: A new report from The Wall Street Journal shares some of the proposals for Saudi Arabia's biggest megaproject yet: a city built in the desert named Neom, where robots will outnumber humans and hologram teachers will educate genetically-enhanced students. These are only proposals, of course, dreamt up by American consulting firms like McKinsey and Boston Consulting who have no incentive to bring Saudi leaders down to Earth. But all the same, they give you a flavor of what trillions of dollars of oil wealth will do to your sense of proportion.

The whole Neom project is undeniably fascinating. It was first announced in 2017, with Saudi Arabia's de-facto leader, Crown Prince Mohammed bin Salman, saying he wants the city to attract the "world's greatest minds and best talents." According to planning documents reported by the WSJ, bin Salman "envisions Neom the largest city globally by GDP, and wanted to understand what he can get with up to 500 billion USD investment." The project is the flagpole of Saudi Arabia's plans to diversify the country's economy away from oil. MBS and other Saudi leaders known this source of revenue can't last forever, and they're keen to develop cities like Neom as new commercial hubs. As currently planned, Neom will occupy a region the size of Massachusetts. This will include a huge coastal urban sprawl; outlying towns and villages; advance manufacturing hubs in industries like biotech and robotics; and links with international shipping routes. Early building work has already begun, with facilities including a new airport and palace. Some of the key features of the city include cloud seeding to make it rain, dystopian surveillance to keep citizens safe, genetic engineering to increase human strength and IQ, robot cage fights and "maids," flying taxis, and even a fake moon that could perhaps be created by a fleet of drones or via live-streaming images from space.

The report notes that it's anyone's guess as to whether Neom will live up to its planners' dreams. What may hinder its success is Saudi Arabia's corruption, difficult legal system, and unappealing social norms. "Alcohol is banned; women's rights are restricted; and homosexuality is illegal," the report notes. There's also the sweltering weather that'll only get worse with climate change.

Microsoft today announced that it would invest $1 billion in OpenAI, the San Francisco-based AI research firm cofounded by CTO Greg Brockman, chief scientist Ilya Sutskever, Elon Musk, and others, with backing from luminaries like LinkedIn cofounder Reid Hoffman and former Y Combinator president Sam Altman. From a report: In a blog post, Brockman said the investment will support the development of artificial general intelligence (AGI) -- AI with the capacity to learn any intellectual task that a human can -- with "widely distributed" economic benefits. To this end, OpenAI intends to partner with Microsoft to jointly develop new AI technologies for the Seattle company's Azure cloud platform and will enter into an exclusivity agreement with Microsoft to "further extend" large-scale AI capabilities that "deliver on the promise of AGI." Additionally, OpenAI will license some of its technologies to Microsoft, which will commercialize them and sell them to as-yet-unnamed partners, and OpenAI will train and run AI models on Azure as it works to develop new supercomputing hardware while "adhering to principles on ethics and trust."

According to Brockman, the partnership was motivated in part by OpenAI's continued pursuit of enormous computational power. Its researchers recently released analysis showing that from 2012 to 2018 the amount of compute used in the largest AI training runs grew by more than 300,000 times, with a 3.5-month doubling time, far exceeding the pace of Moore's Law. Perhaps exemplifying the trend is OpenAI's OpenAI Five, an AI system that squared off against professional players of the video game Dota 2 last summer. On Google's Cloud Platform -- in the course of training -- it played 180 years' worth of games every day on 256 Nvidia Tesla P100 graphics cards and 128,000 processor cores, up from 60,000 cores just a few years ago.

dryriver writes: The line "sharks with fricking lasers" was once popular on Slashdot. It sounds like a joke, but a never-made James Bond movie co-written back in the day by Sean Connery was actually going to feature robotic sharks carrying stolen NATO nukes in order to attack New York. Bond was going to stop the sharks inside the New York sewer system, waterski out of the sewers, paraglide up to the Statue of Liberty's head, then fight a Bond villain inside said head, with the villain's "blood trickling out of the Statue of Liberty's eye like tears" at the end of the fight. All this was going to happen without the consent of Cubby Broccoli, the official producer of the Bond movies. Why did the movie never get made? The producers of competing Bond movies were fighting in court over who has what rights to the franchise and characters. In the end, "Bond fights robot sharks with nukes" was scrapped, and "Never Say Never Again," a remake of "Thunderball," was made instead. This featured stolen nukes as well, but unfortunately no robot sharks or other "Austin Powers" style silliness.

maiden_taiwan writes: Can computers determine your emotional state from your face? A panel of senior scientists with backgrounds in neuroscience, psychology, computer science, electrical engineering, biology, anthropology, psychiatry, pediatrics, and public affairs spent two years reviewing over 1,000 research papers on the topic. Two years later, they have published the most comprehensive analysis to date and concluded: "It is not possible to confidently infer happiness from a smile, anger from a scowl, or sadness from a frown, as much of current technology tries to do when applying what are mistakenly believed to be the scientific facts.... [How] people communicate anger, disgust, fear, happiness, sadness, and surprise varies substantially across cultures, situations, and even across people within a single situation."

Neuroscientist Lisa Feldman Barrett, author of the book How Emotions are Made and behind a popular TED talk on emotion, who was an author on the paper, further elaborates: "People scowl when angry, on average, approximately 25 percent of the time, but they move their faces in other meaningful ways when angry. They might cry, or smile, or widen their eyes and gasp. And they also scowl when not angry, such as when they are concentrating or when they have a stomach ache. Similarly, most smiles don't imply that a person is happy, and most of the time people who are happy do something other than smile."

The American Civil Liberties Union has also commented on the impact of the study. "This paper is significant because an entire industry of automated purported emotion-reading technologies is quickly emerging," writes the ACLU. "As we wrote in our recent paper on 'Robot Surveillance,' the market for emotion recognition software is forecast to reach at least $3.8 billion by 2025. Emotion recognition (aka 'affect recognition' or 'affective computing') is already being incorporated into products for purposes such as marketing, robotics, driver safety, and (as we recently wrote about) audio 'aggression detectors.'"

Neuralink, the secretive company developing brain-machine interfaces, held a press conference today where it unveiled some of the technology it's been developing to the public for the first time. The first big advance is flexible "threads," which are less likely to damage the brain than the materials currently used in brain-machine interfaces and create the possibility of transferring a higher volume of data.

"The threads are 4 to 6 micrometers in width, which makes them considerably thinner than a human hair," reports The Verge. The other big advance that Neuralink unveiled is a machine that automatically embeds the threads into the brain. From the report: In the future, scientists from Neuralink hope to use a laser beam to get through the skull, rather than drilling holes, they said in interviews with The New York Times. Early experiments will be done with neuroscientists at Stanford University, according to that report. The company aims for human trials as soon as the second quarter of next year, according to The New York Times. The system presented today, if it's functional, may be a substantial advance over older technology. BrainGate relied on the Utah Array, a series of stiff needles that allows for up to 128 electrode channels. Not only is that fewer channels than Neuralink is promising -- meaning less data from the brain is being picked up -- it's also stiffer than Neuralink's threads. That's a problem for long-term functionality: the brain shifts in the skull but the needles of the array don't, leading to damage. The thin polymers Neuralink is using may solve that problem.

However, Neuralink's technology is more difficult to implant than the Utah Array, precisely because it's so flexible. To combat that problem, the company has developed "a neurosurgical robot capable of inserting six threads (192 electrodes) per minute [automatically]," according to the white paper. In photos, it looks something like a cross between a microscope and a sewing machine. It also avoids blood vessels, which may lead to less of an inflammatory response in the brain, the paper says. Finally, the paper says that Neuralink has developed a custom chip that is better able to read, clean up, and amplify signals from the brain. Right now, it can only transmit data via a wired connection (it uses USB-C), but ultimately the goal is to create a system than can work wirelessly. Currently, the company is testing the robot and threads on rats, but it's hoping to actually begin working with human test subjects as early as next year.

Story is developing...

We're reviving an old Slashdot tradition -- the review. Whenever there's something especially geeky -- or relevant to our present moment -- we'll share some thoughts. And I'd like to start with Jonathan Coulton's amazing 2017 album Solid State, and its trippy accompanying graphic novel adaptation by Matt Fraction. I even tracked down Jonathan Coulton on Friday for his thoughts on how it applies to our current moment in internet time...

"When I started work on Solid State, the only thing I could really think of that I wanted to say was something like, 'The internet sucks now'," Coulton said in 2017 in an epilogue to the graphic novel. "It's a little off-brand for me, so it was a scary place to start..."

So what does he think today? And what did we think of his album...?

Citing a report from Bloomberg, The Verge reports that Amazon is working on a mobile home robot and a high-end Echo to compete against the Apple HomePod and Google Home Max. From the report: We first heard about Amazon's plans to build a wheeled home robot in April last year. The project is reportedly codenamed "Vesta" (after the Roman goddess of the hearth), and rumors suggest it's a sort of "mobile Alexa" that's able to follow users around their homes. Today's report doesn't add significantly to this picture, but it seems Amazon is still keen to build the mobile device. It was apparently slated to launch this year but wasn't ready for mass-production. Engineers have reportedly been pulled from other projects to work on Vesta, and Gurman reports that prototypes are "waist-high and navigate with the help of an array of computer-vision cameras." They can also be summoned using voice commands.

Along with its mystery robot, Amazon is also reportedly working on a high-end Echo device that's due to be released next year. Bloomberg says the cylindrical speaker is wider than existing Echo products in order to fit in extra speaker components, and it could launch alongside a high-fidelity version of Amazon's music streaming service.

On July 1st, California became the first state in the nation to try to reduce the power of bots by requiring that they reveal their "artificial identity" when they are used to sell a product or influence a voter. Violators could face fines under state statutes related to unfair competition. From a report: Just as pharmaceutical companies must disclose that the happy people who say a new drug has miraculously improved their lives are paid actors, bots in California -- or rather, the people who deploy them -- will have to level with their audience. "It's literally taking these high-end technological concepts and bringing them home to basic common-law principles," Robert Hertzberg, a California state senator who is the author of the bot-disclosure law, told me. "You can't defraud people. You can't lie. You can't cheat them economically. You can't cheat 'em in elections."

California's bot-disclosure law is more than a run-of-the-mill anti-fraud rule. By attempting to regulate a technology that thrives on social networks, the state will be testing society's resolve to get our (virtual) house in order after more than two decades of a runaway Internet. We are in new terrain, where the microtargeting of audiences on social networks, the perception of false news stories as genuine, and the bot-led amplification of some voices and drowning-out of others have combined to create angry, ill-informed online communities that are suspicious of one another and of the government. Regulating bots should be low-hanging fruit when it comes to improving the Internet. The California law doesn't even ban them outright but, rather, insists that they identify themselves in a manner that is "clear, conspicuous, and reasonably designed."

"Robotics-as-a-service (RaaS) is about to eat the world of work" argues Hooman Radfar, a partner at the startup studio Expa who's been "actively investing in and looking for new companies" catalyzing the change." Companies buy massive robots and software solutions that are customized -- at great cost -- to their specific needs. The massive conglomerates that sell these robots have dominated the field for decades, but that is about to change. One major factor driving this change is how dramatically globalization has reduced hardware production costs and capabilities. At the same time, cheap and powerful computing and cloud infrastructure are now also readily available and easy to spin up. As a result, vertical-specific, robotic-powered, solutions can today be offered as variable cost services versus being sold at a fixed cost. Just as cable companies include the costs of set-top boxes in their monthly bill, robots and their associated software will be bundled together and sold in a subscription package. This change to the robotics business model will have profound implications, radically transforming markets and at the same time changing the future of work.

With a new variable cost model in place as a result of subscription packages, it's simple to calculate when a market is about to tip to favor RaaS. A market has hit its automation tipping point when an RaaS solution is introduced with a unit cost that is less than or equal to the unit cost for humans-in-the-loop to conduct the same task... One market that has already reached its automation tipping point is the enterprise building security market... Crop dusting ($70 billion), industrial cleaning ($78 billion), warehouse management ($21 billion), and many more service markets are tipping. When these sectors hit their automation tipping point, we will see the same level of industry disruption currently taking place in the building security market.

The changes taking place in the enterprise will also deeply impact consumer markets, and ultimately society, in profound and potentially challenging ways. We are at the start of a massive shift in how work gets done.
One study predicted the worldwide RaaSS market would be $34.7 within three years, according to the article, which also explores how the building security market is already being disrupted. "Instead of manning a building with three to four people, you can have one human managing a few remote robots" -- at a cost that's 30% cheaper.

"Moreover, all the data and insights collected via these robots is organized and made available for building and security optimization. It isn't just cheaper, it's better. There's no turning back -- this market has hit its automation tipping point."

An anonymous reader quotes a report from Fast Company: We've all tried to log into a website or submit a form only to be stuck clicking boxes of traffic lights or storefronts or bridges in a desperate attempt to finally convince the computer that we're not actually a bot. For many years, this has been one of the predominant ways that reCaptcha -- the Google-run internet bot detector -- has determined whether a user is a bot or not. But last fall, Google launched a new version of the tool, with the goal of eliminating that annoying user experience entirely. Now, when you enter a form on a website that's using reCaptcha V3, you won't see the "I'm not a robot" checkbox, nor will you have to prove you know what a cat looks like. Instead, you won't see anything at all.

Google is also now testing an enterprise version of reCaptcha v3, where Google creates a customized reCaptcha for enterprises that are looking for more granular data about users' risk levels to protect their site algorithms from malicious users and bots. But this new, risk-score based system comes with a serious trade-off: users' privacy. According to two security researchers who've studied reCaptcha, one of the ways that Google determines whether you're a malicious user or not is whether you already have a Google cookie installed on your browser. It's the same cookie that allows you to open new tabs in your browser and not have to re-log in to your Google account every time. But according to Mohamed Akrout, a computer science PhD student at the University of Toronto who has studied reCaptcha, it appears that Google is also using its cookies to determine whether someone is a human in reCaptcha v3 tests. Akrout wrote in an April paper about how reCaptcha v3 simulations that ran on a browser with a connected Google account received lower risk scores than browsers without a connected Google account. "Because reCaptcha v3 is likely to be on every page of a website, if you're signed into your Google account there's a chance Google is getting data about every single webpage you go to that is embedded with reCaptcha v3 -- and there many be no visual indication on the site that it's happening, beyond a small reCaptcha logo hidden in the corner," the report adds.

Ericsson announced its plans to build a 5G factory in the U.S. sometime early next year. "The factory will be the Swedish telco equipment maker's first fully-automated factory, the company said, and will be used to produce 5G radios designed for urban areas," reports ZDNet. "It will also make Advanced Antenna System radios that it said are components for large-scale deployments of 4G and 5G networks for both rural and urban coverage." From the report: Ericsson did not provide details about where the factory will be located, but the company has plans to initially employ around 100 people at the factory, which will have "highly automated operations." Ericsson is currently signed on by T-Mobile, Verizon, Sprint, AT&T, US Cellular, and GCI to help build out their respective 5G mobile networks. According to the Ericsson's latest mobility report, North America is expected to lead in the adoption of 5G, with the company predicting that 63% of North American mobile subscriptions will be 5G-based in 2024. Fierce Wireless says the company has made a direct investment of about $100 million, "which will kick in during the third quarter of this year."

A new study by Oxford Economics, a private British-based research and consulting firm, says robots are expected to take over some 20 million manufacturing jobs worldwide by 2030, extending a trend of worsening social inequality while boosting overall economic output. "The forecast set to be released Wednesday highlights growing concerns that automation and robots, while offering economic benefits, are disproportionately killing low-skill jobs and aggravating social and economic stress," reports France 24. From the report: Robots have already taken over millions of manufacturing jobs and are now gaining in services, helped by advances in computer vision, speech recognition and machine learning, the study noted. In lower-skilled regions, job losses will be twice as high as those in higher-skilled regions, even in the same country, the study concluded. According to the latest study, the current wave of "robotization" is likely ultimately to boost productivity and economic growth, generating roughly as many new jobs as it destroys. At the high end of the forecast, the researchers see a $5 trillion "robotics dividend" for the global economy by 2030 from higher productivity.