Artificial Intelligence News for June 26 2017

Half of All Jobs Will Be Replaced by Artificial Intelligence(AI) in 10 Years, AI Expert Kai-Fu Lee

18:30, AI expert Kai-Fu Lee says 50% of all existing jobs will be replaced by AI and Robots in 10 years. He also mentions China has an edge over US in the field …

Artificial intelligence to predict suicide risk proved accurate in initial tests

Colin Walsh, data scientist at Vanderbilt University Medical Center, hopes his work in predicting suicide risk will give people the opportunity to ask “What can I do?” while there’s still a chance to intervene. Walsh and his colleagues have created machine-learning algorithms that predict, with unnerving accuracy, the likelihood that a patient will attempt suicide. In trials, results have been 80-90% accurate when predicting whether someone will attempt suicide within the next two years, and 92% accurate in predicting whether someone will attempt suicide within the next week. This set of more than 5,000 cases was used to train the machine to identify those at risk of attempted suicide compared to those who committed self-harm but showed no evidence of suicidal intent. The researchers also built algorithms to predict attempted suicide among a group 12,695 randomly selected patients with no documented history of suicide attempts. It proved even more accurate at making suicide risk predictions within this large general population of patients admitted to the hospital. Suicide is such an intensely personal act that it seems, from a human perspective, impossible to make such accurate predictions based on a crude set of data. “I don’t think melatonin is causing people to have suicidal thinking. There’s no physiology that gets us there. But one thing that’s been really important to suicide risk is sleep disorders,” says Walsh. Walsh recognizes that many people at risk of suicide do not spend time in hospital beforehand. We spend so much time on Facebook and Twitter, says Walsh, that there may well be social media data that could be used to predict suicide risk. Training machines to identify warning signs of suicide is far from straightforward. For predictions and interventions to be done successfully, Walsh believes it’s essential to destigmatize suicide. With suicide leading to 800,000 deaths worldwide every year, this is a public health issue that cannot be ignored. Given that most humans, including doctors, are pretty terrible at identifying suicide risk, machine learning could provide an important solution.
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Artificial Intelligence Stack Exchange

Artificial Intelligence Stack Exchange is a question and answer site for people interested in conceptual questions about life and challenges in a world where “Cognitive” functions can be mimicked in purely digital environment. Here’s how it works: Anybody can ask a question Anybody can answer The best answers are voted up and rise to the top.
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Artificial Intelligence News & Articles – IEEE Spectrum

All about artificial intelligence, robotics, robots, automation, plus robot videos and
articles on what is AI, prosthetics, brain machine interfaces, bionics.
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The Limits of Artificial Intelligence

Talking about artificial intelligence is in season for Europe’s corporate executives. The C-suite is eager to tout its abilities in riding the 21st-century wave of automation by using sophisticated machine learning or shop-floor robots. Mentions of the phrase “Artificial intelligence” on earnings calls are surging, as Bloomberg Intelligence’s Michael McDonough has noted. In a world where CEOs get more credit for cutting costs and buying back shares than opening factories or hiring staff, technology-driven efficiency is a carrot to dangle in front of shareholders. That’s why executives are conjuring up the promise of lower costs, more revenue or something in between. Siemens computers are having a go at running gas turbines more efficiently than humans. Don’t forget the blue-collar world: Logistics firms Deutsche Post and DHL are talking up the idea of using robots alongside workers on the warehouse floor. There’s remarkably little talk of the limits of automation. What is the acceptable failure rate of these projects? Outside of games like Go or poker, just how suited are machines to the corporate world? Are some algorithms too expensive, as Netflix once found out? There’s a risk that disappointing results lead to an exaggerated corporate pullback, as the Harvard Business Review warned in April. Then there’s the question of whether machines are always suitable. Machine learning works best in an environment with rules and huge numbers of data points. These limitations mean it’s not yet clear that the cost of automation will be offset by savings in human capital. Hiring a data scientist can cost more than $200,000, according to Bloomberg News. Even Silicon Valley has its grunt workers: Facebook is hiring 3,000 content moderators, on top of 4,500 existing ones.
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Artificial Intelligence – Minds & Machines Home

Artificial Intelligence. Artificial intelligence (AI) is the field devoted to building artificial animals (or at least artificial creatures that — in suitable …
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Artificial Intelligence Market worth 16.06 Billion USD by 2022

According to the latest market research report “Artificial Intelligence Market by Technology, Offering, End-User Industry, and Geography – Global Forecast to 2022”, the overall artificial intelligence market is expected to be worth USD 16.06 Billion by 2022, growing at a CAGR of 62.9% from 2016 to 2022. The AI market for natural language processing is expected to hold largest market share from 2016 to 2022. North America leads the artificial intelligence market in terms of market size. The companies that are profiled in the report are IBM Corp., Microsoft Corp., Google Inc., FinGenius Ltd., NVIDIA Corporation, Intel Corporation, General Vision, Inc., Numenta, Inc., Sentient Technologies, and Inbenta Technologies, Inc. This report describes the market trends, drivers, restraints, opportunities, and challenges for the artificial intelligence market and forecasts the market up to 2022. M&Ms flagship competitive intelligence and market research platform, “RT” connects over 200,000 markets and entire value chains for deeper understanding of the unmet insights along with market sizing and forecasts of niche markets.
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Supply Chain Artificial Intelligence Offers Wisdom

The supply chain tends to forget how augmented reality will naturally transform the entire supply chain, and supply chain artificial intelligence is one of the key driving forces behind supply chain augmented reality. Artificial intelligence is at work with every query into an online search bar, and artificial intelligence is rapidly making its mark on everyone’s lives from Microsoft’s Cortana, Apple’s Siri, and Amazon’s Echo. The company has established several inaugural grants to improve the current state of artificial intelligence at University College Dublin, and the company’s R&D departments are looking at artificial intelligence through new eyes. One of the most common topics in supply chain management focuses on how products are delivered from the manufacturer or distribution center to the end user, and artificial intelligence is going to make a huge impact on how products are shipped. Manufacturers must be willing to use and learn from what artificial intelligence has to offer, especially as artificial intelligence becomes a part of every home, workplace, traffic stop, lane of traffic, and product.
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The Future of Artificial Intelligence | Military.com

A fascinating look at the future of robots and artificial intelligence by Lockheed Martin.
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