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New Deloitte study says 861,000 UK public sector jobs can be automated

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Technologies including AI, bots, drones and robots will lead to the automation of large parts of the global workforce More than 861,000 public sector jobs could be lost by 2030 through automation, according to a study that comes as a further blow after hundreds of thousands of UK public sector jobs disappeared following the government's austerity cuts during and after the recession. However, it has to be said, that as more and more governments around the world experiment with Universal Basic Income (UBI) programs, including Scotland who may even start trails next week, the news doesn't come as a complete surprise. The research conducted by Oxford University and Deloitte, the business advisory firm, found that the 1.3m administrative jobs across the public sector had the highest chance of being automated. New blockchain DNS system would put an end to DDoS attacks But, following on from the London Borough of Enfields move to replace some customer services clerks with a bot called "Amelia," even teachers, police officers and social workers could be replaced, at least in part, allowing the government to either free up more staff for frontline work or reduce the number of workers on the payroll. The research is included in Deloitte's State of the State report, which analyses the state of public finances and the challenges facing public services. Deloitte's previous work has shown that all sectors will be affected by automation in the next two decades, with 74% of jobs in transportation and storage, 59% in wholesale and retail trades and 56% in manufacturing having a high chance of being automated.


Japan 2020: Robot revolution

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TOKYO โ€ข Come 2020 when the Olympic Games are held in Tokyo, drone deliveries, driverless taxis, and home robots will be the norm in one part of Japan. Visitors will see a beeline of drones in the sky in Chiba prefecture, just an hour away from the capital by train. At the designated drone zone, to be called Drone City, there will be around 200 of these flying robots whizzing through the air across a 10km distance at any one time, delivering goods from warehouses in Tokyo Bay to apartments that come with built-in landing ports for delivery drop-offs. Leading drone expert and pioneer, Dr Kenzo Nonami of Chiba University, is looking forward to living in such an apartment in Drone City, due for completion in three years' time. "If you don't like drones, don't live there," quipped Dr Nonami, who has helped develop drone technology over the past 20 years, and who painted the 2020 vision to The Straits Times.


Nobel-winning Belarusian writer Alexievich speaks on nuclear disasters and the future of human hubris

The Japan Times

Svetlana Alexievich, winner of the 2015 Nobel Prize in literature, called the nuclear catastrophes at Chernobyl and Fukushima events that people cannot yet fully fathom and warned against the hubris that humans have the power to conquer nature. The 68-year-old Belarusian writer was in Tokyo at the invitation of researchers at the University of Tokyo, where she gave a lecture on Friday. More than 200 people attended. The Nobel laureate, who writes in Russian, is known for addressing dramatic and tragic events involving the former Soviet Union โ€“ World War II, the Soviet war in Afghanistan, the 1986 Chernobyl nuclear disaster and the 1991 collapse of the communist state. Her style is distinctive in that she presents the testimonies of ordinary people going through traumatic experiences as they speak, without intruding on their narratives.


ReConned

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The parcel arrived early on a Sunday morning while they were having breakfast. As soon as he could he took it down to his workshop. An ex-military robot, reconditioned to monitor his family's health for danger signs. It was from a second-hand bidding site and the only difference from the more expensive ones, that he could see, was that it was from a private seller rather than an established shop. Why pay over the odds?


Forget Building Walls, Technology Is Tearing Them Down

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Besides your passport, what really defines your nationality these days? Is it where you were live? If it is, then despite an increase in "nationalism" (i.e., Brexit), we may see the idea of "nationality" quickly dissolve in the decades aheadโ€ฆ Or at least become an option you choose versus assume as a default. Residency, currency and language are rapidly being disrupted and dematerialized by technology. Increasingly, technological developments will allow us to live and work almost anywhere on the planet (and even beyond).


Japan plans supercomputer to leap into technology future

The Japan Times

Japan plans to build the world's fastest supercomputer in a bid to arm its manufacturers with a platform for research that could help them develop and improve driverless cars, robotics and medical diagnostics. The Ministry of Economy, Trade and Industry will spend ยฅ19.5 billion ($173 million) on the previously unreported project, a budget breakdown shows, as part of a government policy to get back Japan's mojo in the world of technology. The country has lost its edge in many electronic fields amid intensifying competition from South Korea and China, which is home to the world's current best-performing machine. In a move that is expected to vault Japan to the top of the supercomputing heap, its engineers will be tasked with building a machine that can make 130 quadrillion calculations per second -- or 130 petaflops in scientific parlance -- as early as next year, sources involved in the project said. At that speed, Japan's computer would be ahead of China's Sunway Taihulight, which is capable of 93 petaflops.


Alphabet's DeepMind aims to quiet critics with new deal to access UK medical data

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DeepMind, the British AI firm owned by Google's parent company Alphabet, has signed a new five-year deal to use data collected by the UK's National Health Service. The agreement with the NHS Royal Free Hospital Trust in London replaces a previous deal that attracted controversy over its lack of official oversight. Under the terms of the new deal, DeepMind will handle personally identifiable medical records for some 1.6 million patients, including medical history dating back five years. The agreement also includes stricter data regulation, including "technical audits" of DeepMind's systems. Using data from the Royal Free, DeepMind has built an app named Streams that alerts doctors when patients are in danger of developing acute kidney injury (AKI) -- a common but often overlooked condition.


AI Is Accelerating Healthcare Transformation

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On January 2016, the White House announced its aim to deliver a decade's worth of advances in cancer prevention, diagnosis, and treatment, in five years with this initiative. This initiative includes the building of an AI framework named CANDLE (Cancer Distributed Learning Environment) being developed by multiple organizations. It will help us change the way we understand cancer. READ MORE 6. "GPU Deep Learning has given us a new tool to tackle grand challenges that have, up to now, been too complex for even the most powerful supercomputers. Together with the Department of Energy and the National Cancer Institute we are creating an AI supercomputing platform for cancer research."


Future of Artificial Intelligence: Brexit, Trump and Other Calamities

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On Friday, June 24, 2016, the world watched in horror as Britain voted to commit economic suicide as a nation. On November 8, 2016, America will vote. Will it also commit economic and political suicide? Increasing inequality is building up great stress in the world economic system. The disenfranchised masses are expressing their anger, including in irrational ways such as the Brexit vote.


This is what artificial intelligence will look like in 2030, according to one of the world'sโ€ฆ โ€“ World Economic Forum

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Artificial intelligence and robotics are showing up in every part of life, anywhere from driving, to the cellphones we use, how our data is managed in the world, how our homes are going to be built in the future. So given its ubiquity, it really is important to start addressing the strengths and limitations of artificial intelligence. We've seen a lot of breakthroughs in data analytics. The example of Watson -- which is an IBM set of algorithms -- has been very impressive in terms of managing large amounts of data, and how to structure the data so that you can see patterns that may have not emerged otherwise. That has been an important leap.