Headline, February 15 2019/ FUTURE : '' ' ROBOTS TERRIFYING ROASTS ' ''



THE WORLD STUDENTS SOCIETY, for every subject in the world : is the exclusive ownership of every student in the world.

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INSIDE A WAREHOUSE ON THE OUTSKIRTS OF BERLIN A long line of blue crates moved down a conveyor belt, carrying light switches, sockets and other electrical parts. As they came to a stop, five workers picked through the small items, placing each in a cardboard box.

At Obeta, an electrical parts company that opened in 1901, it is the kind of monotonous task workers have performed for years and years.

But several months ago, a new worker joined the team. Stationed behind protective glass, a robot using three suction cups at the end of its arms does the same job, sifting through parts with surprising speed and accuracy.

While it may not seem like much, this component-sorting robot is a major advance in artificial intelligence and the ability of machine to perform human labor.

As millions of products move through warehouses run by Amazon, Walmart and other retailers, low wage workers must must comb through bin after bin random stuff - whether clothes or shoes or electronic equipment - so that each item can be packaged and sent on its way. Machines had not been up to the task, until now.      .

''I've worked in the logistics industry for more than 16 years, and I've never seen anything like this,'' said Peter Puchwein, vice president of Knapp, an Austrian company that provides automation technology for warehouses.

Standing nearby at the Obeta warehouse, the California engineers who made the robot snapped pictures with their smartphone. They spent more than two years designing the system at a start-up called Covariant A.I. building on their research at the University of California, Berkeley.

Their technology is an indication that, in the coming years, few warehouses tasks will be too small or complex for a robot. And as the machines master tasks traditionally handled by humans, their development raises new concerns about warehouse workers losing their jobs to automation.

Because the online retail business is growing so quickly - and most companies will be slow to adept the latest robotic technologies - economists believe the advances will not cut into the overall number of logistic jobs anytime soon.

But the engineers building these technologies acknowledge that at some point most warehouse tasks will be done by machines. Human workers will need to find other things to do.

The engineers at Covariant specialize in a branch artificial intelligence called reinforcement learning. The machines are wired to learn new tasks on their own through extreme trial and error. And the best place to learn is in the real world.

''If you want to advance artificial intelligence, you don't just do it in a lab,'' said Peter Chen, Covariant's chief executive and co-founder.
''There is a huge huge gap in bringing it to the real world.''

The Honor and Serving of the Latest Global Operational Research on Future & Jobs, continues. The World Students Society thanks authors Adam Satariano and Cade Metz.

With respectful dedication to the Students, Professors and Teachers of the world. See Ya all prepare and register for Great Global Elections on The World Students Society : wssciw.blogspot.com and Twitter - !E-WOW! - The Ecosystem 2011:

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