47% of jobs will vanish in the next 25 years, say Oxford University researchers

 

The Trump campaign ran on bringing jobs back to American shores, although mechanization has been the biggest reason for manufacturing jobs’ disappearance. Similar losses have led to populist movements in several other countries. But instead of a pro-job growth future, economists across the board predict further losses as AI, robotics, and other technologies continue to be ushered in. What is up for debate is how quickly this is likely to occur.

Now, an expert at the Wharton School of Business at the University of Pennsylvania is ringing the alarm bells. According to Art Bilger, venture capitalist and board member at the business school, all the developed nations on earth will see job loss rates of up to 47% within the next 25 years, according to a recent Oxford study. “No government is prepared,” The Economist reports. These include blue and white collar jobs. So far, the loss has been restricted to the blue collar variety, particularly in manufacturing.

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POR QUE UMA FÁBRICA CHINESA CRIA MAIS DE 6 BILHÕES DE BARATAS POR ANO?

 

 

 

 

 

 

Você pode achar baratas nojentas ou até ter medo delas, mas nem em toda parte do mundo uma aparição surpresa do inseto é capaz de fazer alguém gritar ou até mesmo subir na cadeira. Na China, a relação entre homens e baratas é bem diferente, e bilhões delas são criadas em fábricas todos os anos. Por incrível que pareça, até um sistema de inteligência artificial especifíco foi criado para garantir o “bem-estar” delas, e tudo em nome da medicina.

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Where AI Meets Neuroscience: How The Human Brain Will Make Robots Smarter

Experts who want to build a better robot are calling for brain scientists and artificial intelligence programmers to work together, saying it will benefit both the advancement of AI technology and our understanding of the human mind.

It’s not about making an exact replica of the human brain and placing it into a robot. Neuroscientist-turned-AI researcher Pascal Kaufmann told International Business Times that the focus should be on understanding how the brain works as a whole, rather than piece by piece, and then using the principles that govern it in an artificial mind.

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