Automation Caused More than Half America’s Income Inequality Since 1980, Study Claims

A newly published study co-authored by MIT economist Daron Acemoglu “quantifies the extent to which automation has contributed to income inequality in the U.S.,” reports SciTechDaily, “simply by replacing workers with technology — whether self-checkout machines, call-center systems, assembly-line technology, or other devices.”

Over the last four decades, the income gap between more- and less-educated workers has grown significantly; the study finds that automation accounts for more than half of that increase. “This single one variable … explains 50 to 70 percent of the changes or variation between group inequality from 1980 to about 2016,” Acemoglu says….

Acemoglu and Pascual Restrepo, an assistant professor of economics at Boston University, used U.S. Bureau of Economic Analysis statistics on the extent to which human labor was used in 49 industries from 1987 to 2016, as well as data on machinery and software adopted in that time. The scholars also used data they had previously compiled about the adoption of robots in the U.S. from 1993 to 2014. In previous studies, Acemoglu and Restrepo have found that robots have by themselves replaced a substantial number of workers in the U.S., helped some firms dominate their industries, and contributed to inequality.

At the same time, the scholars used U.S. Census Bureau metrics, including its American Community Survey data, to track worker outcomes during this time for roughly 500 demographic subgroups… By examining the links between changes in business practices alongside changes in labor market outcomes, the study can estimate what impact automation has had on workers.

Ultimately, Acemoglu and Restrepo conclude that the effects have been profound. Since 1980, for instance, they estimate that automation has reduced the wages of men without a high school degree by 8.8 percent and women without a high school degree by 2.3 percent, adjusted for inflation.

Thanks to long-time Slashdot reader schwit1 for sharing the article.

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Boston Dynamics’ Latest Atlas Video Demos a Robot That Can Run, Jump and Now Grab and Throw

Boston Dynamics released a demo of its humanoid robot Atlas, showing it pick up and deliver a bag of tools to a construction worker. While Atlas could already run and jump over complex terrain, the new hands, or rudimentary grippers, “give the robot new life,” reports TechCrunch. From the report: The claw-like gripper consists of one fixed finger and one moving finger. Boston Dynamics says the grippers were designed for heavy lifting tasks and were first demonstrated in a Super Bowl commercial where Atlas held a keg over its head. The videos released today show the grippers picking up construction lumber and a nylon tool bag. Next, the Atlas picks up a 2×8 and places it between two boxes to form a bridge. The Atlas then picks up a bag of tools and dashes over the bridge and through construction scaffolding. But the tool bag needs to go to the second level of the structure — something Atlas apparently realized and quickly throws the bag a considerable distance. Boston Dynamics describes this final maneuver: ‘Atlas’ concluding move, an inverted 540-degree, multi-axis flip, adds asymmetry to the robot’s movement, making it a much more difficult skill than previously performed parkour.” A behind the scenes video describing how Atlas is able to recognize and interact with objects is also available on YouTube.

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Bipedal Robot Sets Guinness World Record For Robotic 100-Meter Sprint

A droid named Cassie has set a Guinness World Record for the 100-meter dash by a bipedal robot, “an impressive demonstration of robotics and engineering,” reports New Atlas. From the report: Cassie is the brainchild of Agility Robotics, a spin-off company from Oregon State University, and was introduced in 2017 as a type of developmental platform for robotics research. And Cassie has continued to come along in leaps and bounds since then, in 2021 demonstrating some impressive progress by completing a 5-km (3.1-mile) jog in just over 53 minutes. This achievement involved the use of machine learning algorithms to equip the robot with an ability to run, overcoming its unique biomechanics and knees that bend like an ostrich to remain upright. With this capability, Cassie joined a group of running bipedal robots that include the Atlas humanoid robot from Boston Dynamics and Mabel, billed as the world’s fastest knee-equipped bipedal robot. But in optimizing Cassie for the 100-meter sprint, the researchers had to head back to the drawing board.

The team spent a week fast-tracking Cassie through a year’s worth of simulated training designed to determine the most effective gait. But it wasn’t simply a matter of speed. For the Guinness World Record to stand, Cassie had to start in a standing pose, and then return to that pose after crossing the finish line rather than simply tumble over. This meant Cassie had to use two neural networks, one for running fast and one for standing still, and gracefully transition between the two. Ultimately, Cassie completed the 100-meter sprint in 24.73 seconds, establishing a Guinness World Record for a bipedal robot. This is a great deal slower than the sub-10-second times run by the world’s best sprinters, but the researchers believe progress will only accelerate from here. You can watch Cassie’s record-setting dash here.

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Almost Half of Industrial Robots Are In China

According to a new report from the International Federation of Robotics (IFR), China now has almost half of all the world’s robot installations and that it is increasing its lead rapidly. Engineering.com reports: The IFR, which exists to “promote research, development, use and international co-operation in the entire field of robotics,” has been reporting that China has been the world leader in implementing industrial robots for the last 8 years. We have not been paying attention. In 3 years, China has almost doubled the number of industrial robot installations. With its 243,000 robot installations in 2020, China has almost half of all the industrial robots in the world, according to the Wall Street Journal.

A majority of new industrial robots are used in electronics manufacture (for circuit boards, consumer electronics, etc.) and in automobile assembly, particularly in the surging production of electric vehicles (EVs).One must wonder why China, a country with so much cheap manual labor available, would opt for expensive robots with their special demands for tech support. China may have a giant population (1.4 billion people), but its workforce is actually decreasing, says the IFR, due to an increasing segment of its population aging and a growing competition for service jobs. China also expects a leveling off of its rural-to-urban migration. China’s government is determined not to let a declining workforce cause a drop in manufacturing, and as only a centralized, authoritarian government can, it has made robotizing a national priority and has mobilized its forces.

China’s latest five-year plan for the robotics industry, released in December 2021 by the Ministry of Industry and Information Technology (MIIT), aims for nothing less than making China a world leader in robot technology and industrial automation. And it appears to be working. China went from 10 robots per ten thousand employees 10 years ago to 246 robots per ten thousand employees in 2020, the ninth best ranking in the world. To keep the robots state of the art and operational, China’s Ministry of Human Resources and Social Security introduced 18 new occupational titles in June, including “robotics engineering technician.”

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San Francisco Restaurant Claims To Be First To Run Entirely By Robots

Mezli isn’t the first automated restaurant to roll out in San Francisco, but, at least according to its three co-founders, it’s the first to remove humans entirely from the on-site operation equation. Eater SF reports: About two years and a few million dollars later, Mezli co-founders Alex Kolchinski, Alex Gruebele, and Max Perham are days away from firing up the touch screens at what they believe to be the world’s first fully robotic restaurant. To be clear, Mezli isn’t a restaurant in the traditional sense. As in, you won’t be able to pull up a seat and have a friendly server — human, robot, or otherwise — take your order and deliver your food. Instead, Mezli works more like if a vending machine and a restaurant had a robot baby, Kolchinski describes. It’s a way to get fresh food to a lot of people, really fast (the box can pump out about 75 meals an hour), and, importantly, at a lower price; the cheapest Mezli bowl starts at $6.99.

On its face, the concept actually sounds pretty simple. The co-founders built what’s essentially a big, refrigerated shipping container and stuffed it with machines capable of portioning out ingredients, putting those ingredients into bowls, heating the food up, and then moving it to a place where diners can get to it. But in a technical sense, the co-founders say it was quite difficult to work out. Most automated restaurants still require humans in some capacity; maybe people take orders while robots make the food or, vice versa, with automated ordering and humans prepping food behind the scenes. But Mezli can run on its own, serving hundreds of meals without any human staff.

The food does get prepped and pre-cooked off-site by good old-fashioned carbon-based beings. Mezli founding chef Eric Minnich, who previously worked at Traci Des Jardins’s the Commissary and at Michelin-starred Madera at Rosewood Sand Hill hotel, says he and a lean team of just two other people can handle all the chopping, mixing, cooking, and portioning at a commissary kitchen. Then, once a day, they load all the menu components into the big blue-and-white Mezli box. Inside the box, there’s an oven that either brings the ingredients up to temp or finishes up the last of the cooking. Cutting down on labor marks a key cost-saving measure in the Mezli business model; with just a fraction of the staff, as in less than a half dozen workers, Mezli can serve hundreds of meals. “The fully robot-run restaurant begins taking orders and sliding out Mediterranean grain bowls by the end of this week with plans to celebrate a grand opening on August 28 at Spark Social,” notes Eater.

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Scientists Use Dead Spider As Gripper For Robot Arm, Label It a ‘Necrobot’

New submitter know-nothing cunt shares a report from The Register: Scientists from Rice University in Texas have used a dead spider as an actuator at the end of a robot arm — a feat they claim has initiated the field of “necrobotics.” “Humans have relied on biotic materials — non-living materials derived from living organisms — since their early ancestors wore animal hides as clothing and used bones for tools,” the authors state in an article titled Necrobotics: Biotic Materials as Ready-to-Use Actuators. The article, published by Advanced Science, also notes that evolution has perfected many designs that could be useful in robots, and that spiders have proven especially interesting. Spiders’ legs “do not have antagonistic muscle pairs; instead, they have only flexor muscles that contract their legs inwards, and hemolymph (i.e., blood) pressure generated in the prosoma (the part of the body connected to the legs) extends their legs outwards.”

The authors had a hunch that if they could generate and control a force equivalent to blood pressure, they could make a dead spider’s legs move in and out, allowing them to grip objects and release them again. So they killed a wolf spider “through exposure to freezing temperature (approximately -4C) for a period of 5-7 days” and then used a syringe to inject the spider’s prosoma with glue. By leaving the syringe in place and pumping in or withdrawing glue, the researchers were able to make the spider’s legs contract and grip. The article claims that’s a vastly easier way to make a gripper than with conventional robotic techniques that require all sorts of tedious fabrication and design efforts. “The necrobotic gripper is capable of grasping objects with irregular geometries and up to 130 percent of its own mass,” the article notes.

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