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Sad day for AI & RIP Mr. Minsky — Early AI Pioneer.


His family said the cause was a cerebral hemorrhage.

Well before the advent of the microprocessor and the supercomputer, Professor Minsky, a revered computer science educator at M.I.T., laid the foundation for the field of artificial intelligence by demonstrating the possibilities of imparting common-sense reasoning to computers.

“Marvin was one of the very few people in computing whose visions and perspectives liberated the computer from being a glorified adding machine to start to realize its destiny as one of the most powerful amplifiers for human endeavors in history,” said Alan Kay, a computer scientist and a friend and colleague of Professor Minsky’s.

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Davos: The True Fear Around Robots — Autonomous weapons, which are currently being developed by the US, UK, China, Israel, South Korea and Russia, will be capable of identifying targets, adjusting their behavior in response to that target, and ultimately firing — all without human intervention.


The issue of ‘killer robots’ one day posing a threat to humans has been discussed at the annual World Economic Forum meeting in Davos, Switzerland.

The discussion took place on 21 January during a panel organised by the Campaign to Stop Killer Robots (CSKR) and Time magazine, which asked the question: “What if robots go to war?”

Participants in the discussion included former UN disarmament chief Angela Kane, BAE Systems chair Sir Roger Carr, artificial intelligence (AI) expert Stuart Russell and robot ethics expert Alan Winfield.

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Our economy will be severely impacted as millions of lorry drivers, cabbies and delivery people are put out of work. In this era of endless innovation, humanity’s century-long relationship with the automobile is about to be permanently disrupted. The reason has nothing to do with millennials, Uber or improvements in mass transport. Driving should and will be made illegal because we now have the technology to prevent deadly traffic accidents, one of the greatest causes of premature deaths.

More than 1.2 million people are killed in car accidents each year. Last year, more than 275,000 Chinese, 238,000 Indians and 36,000 Americans died in preventable traffic accidents. Since Ralph Nader first took on the car industry by publishing Unsafe at Any Speed in 1965, auto-mobile manufacturers have radically improved the safety and reliability of their vehicles. Seatbelts, airbags, anti-lock brakes, as well as tyre-pressure-monitoring, have all reduced traffic deaths. But, until now, makers were unable to deal with the single biggest cause of fatalities: human error. We now have the technology to save millions of lives, but does society have the willpower to mandate its use?

Google’s autonomous vehicles have logged 1.5 million kilometres on roads dominated by human-driven cars. Subjected to the same real-world conditions as us mere mortals, self-driving cars have been through rain, sleet and snow. These vehicles have driven the equivalent of circumnavigating the globe 40 times, without incident. In July, Google reported 14 minor road accidents in total — but in all of the cases blamed human error. According to the data, human-driver error is responsible for 94 per cent of all crashes.

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More insights for AI research.


The complex multi-stage architecture of cortical visual pathways provides the neural basis for efficient visual object recognition in humans. However, the stage-wise computations therein remain poorly understood. Here, we compared temporal (magnetoencephalography) and spatial (functional MRI) visual brain representations with representations in an artificial deep neural network (DNN) tuned to the statistics of real-world visual recognition. We showed that the DNN captured the stages of human visual processing in both time and space from early visual areas towards the dorsal and ventral streams. Further investigation of crucial DNN parameters revealed that while model architecture was important, training on real-world categorization was necessary to enforce spatio-temporal hierarchical relationships with the brain. Together our results provide an algorithmically informed view on the spatio-temporal dynamics of visual object recognition in the human visual brain.

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DoD spending $12 to $15 billion of its FY17 budget on small bets that includes NextGen tech improvements — WOW. Given the DARPA new Neural Engineering System Design (NESD); guessing we may finally have a Brain Mind Interface (BMI) soldier in the future.


The Defense Department will invest the $12 billion to $15 billion from its Fiscal Year 2017 budget slotted for developing a Third Offset Strategy on several relatively small bets, hoping to produce game-changing technology, the vice chairman of the Joint Chiefs of Staff said.

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The “Uber” of healthcare — I can truly see it with AI Healthcare and CRISPR as well as BMI technologies.


Business Insider chatted with CEOs and investors alike to find out what technology and treatment could be the Uber of healthcare.

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“According to many industry observers, we are today on the cusp of a Fourth Industrial Revolution. Developments in previously disjointed fields such as artificial intelligence and machine learning, robotics, nanotechnology, 3D printing and genetics and biotechnology are all building on and amplifying one another…”


The World Economic Forum (WEF) published an analysis today on the technological and sociological drivers of employment.

The report, titled The Future of Jobs, validates the accelerating impact of technology on global employment trends, and also highlights serious concerns that job growth in certain industries is still very much outpaced by large scale declines in other industries.

The report surveyed senior executives and chief human resources officers of various companies “representing more than 13 million employees across 9 broad industry sectors in 15 major developed and emerging economies and regional economic areas.”

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“We have managed to develop a software product that will use artificial intelligence to analyze the situation in interethnic relations. This system has already been created and we are now introducing it in the regions,” Barinov told an interregional forum of the Russian National Front in Stavropol on Sunday.

However, this program is “not a cure-all”, but the first results of its work are quite promising, he added.

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Essentially, the jobs being replaced will give rise to new roles that people can take up.

“There are new classes of jobs that we haven’t thought of yet. Those who can curate and manage the full rich data lifecycle will be a new class of professional,” Shadbolt added.


Whether you like it or not, artificial intelligence (AI) and robots are going to be a big part of the future workforce.

Amid warnings about “killer robots” from the likes of Tesla boss Elon Musk and the way in which they could take over your job, businesses are bracing for changes to the workforce over the next few years.

In a report published Monday, the World Economic Forum estimated that up to 5.1 million jobs could be lost over the next five years in the 15 global leading economies from disruptive labor market changes such as robots and artificial intelligence.

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