Government
Most of us are worried about AI rules » Banking Technology
With every technological breakthrough there needs to be updates to the rules, and the UK general public think the government needs to pull the finger out when it comes to artificial intelligence (AI), reports Telecoms.com That rules need to be changed in relation to everyday life is a given, but it would also be a fair assumption that government and regulators will be miles behind. New research from Machina Summit.AI has revealed the UK general public are concerned about the role of AI in an unregulated environment. It's an interesting contradiction, but one which is understandable. The optimism is present, but so is a sense of realism to the fact there are nefarious individuals out there who will use the power of good for evil. The dark web is there for a reason after all.
Can anti-DUI posters in video games help prevent drunk driving?
Imagine being trapped in a building overrun with alien humanoids. Your task is to shoot your way out. As you're fighting for your life in this fantastical world, in the background are seemingly out-of-place graphic health warnings. "Don't drink and drive", reads a poster riddled with gun shots. "I'm just buzzed", says another, depicting yellow caution tape draped across the scene of a car accident.
The DNC's Technology Chief is Phishing His Staff. Good.
If you are among the millions of Americans concerned about cybersecurity at the Democratic National Committee--and how could you not be?--then the home of the party's tech braintrust might not give you much hope. The tiny, charmless office, with "DNC Tech" scribbled in dry-erase marker on the door, contains one desk and two computer monitors. Nearby, an overturned couch pokes out from an elevator shaft, a leftover from the widespread departures that followed Hillary Clinton's defeat. And that, of course, came after intruders, believed to be tied to Russia, hacked into the DNC's computers. If the office itself seems lacking, the resume of its newish occupant is anything but.
Combatting Advanced Cybersecurity Threats with AI and Machine Learning
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New drone footage of Apple Park 'spaceship' in Cupertino
Appearing as a giant saucer, the Silicon Valley site near the 280 Highway will be home to 13,000 Apple employees. There will be jogging and cycling trails, with more than a thousand bikes kept on site at all times, which staff can use to make their way around. The Spaceship will have 360-degree curved glass fronted walls and central courtyard as well as a 1,000-seater auditorium, a gym and 300,000 square feet of'research' space. Apple Campus 2 will additionally have underground parking hidden from view, meaning 80 per cent of the site can be covered in trees. The site was previously owned by Hewlett Packard and the majority of the area is currently covered in asphalt.
Automation May Be Creating Jobs--in Retail, at Least
Since 2007, 140,000 brick-and-mortar retail jobs have vanished in America. Meanwhile, according to the Bureau of Labor Statistics defintions, e-commerce has created just 126,000 over the same perioud. The takeaway, it seems: automation, here in the form of the software and robots that power online retail, is eating jobs. But according to a new analysis by the Progressive Policy Institute, those figures miss the point. If you actually include all the fulfillment-center jobs that e-tail has created, which wouldn't have otherwise needed to exist, the figure rises from 126,000 to 400,000, far outweighing physical-store losses. And those fulfillment-center jobs also pay on average 31 percent more than brick-and-mortar store jobs would in the same county.
Artificial intelligence threatens jobs in BPO industry: Trade Department
Metro Manila (CNN Philippines, September 6) -- The Trade Department is sounding the alarm on the threat posed by artificial intelligence (AI) on hundreds of thousands of jobs in the country's $25-billion business process outsourcing (BPO) industry. "AI has presented itself more than just as a new technology, but as a threat to the current employees servicing the service export industry and the BPO, including the contact centers," the Department of Trade and Industry (DTI) said in a statement Wednesday. It warned that AI can "potentially diminish 45 to 50 percent of the approximately 1.2 million Filipino employees of the BPO industry." Trade Secretary Ramon Lopez called on the academe, business, and technology sectors to step up the retraining in higher value-added skills of BPO employees. "Let us retool and reposition the nature of the current jobs in the industry," he said in the statement.
How China's AI experts can beat Google and Microsoft by 2030
In the past few years, China has dived head first into artificial intelligence (AI) research, with the goal of becoming the de facto world leader in this game-changing technology. According to The Economist, from 2012 to 2016, Chinese AI companies received US$2.6 billion in funding while US peers received US$17.9 billion, but this is quickly changing. China, earlier seen as a technology development laggard, is now grasping AI as an opportunity to leapfrog foreign peers. Over 40 per cent of the top AI-related academic papers published worldwide in 2015 had at least one or more Chinese researchers. Chinese AI-based patent applications grew 186 per cent between 2010 and 2014, a huge increase from the previous five-year period.
Opinion How to Regulate Artificial Intelligence
The technology entrepreneur Elon Musk recently urged the nation's governors to regulate artificial intelligence "before it's too late." Mr. Musk insists that artificial intelligence represents an "existential threat to humanity," an alarmist view that confuses A.I. science with science fiction. Nevertheless, even A.I. researchers like me recognize that there are valid concerns about its impact on weapons, jobs and privacy. It's natural to ask whether we should develop A.I. at all. I believe the answer is yes.
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Methods and results: Using data from the National Cardiovascular Data Registry for implantable cardioverter–defibrillators (ICDs) linked to Medicare administrative claims for longitudinal follow-up, we applied three statistical approaches to safety-signal detection for commonly used dual-chamber ICDs that used two propensity score (PS) models: one specified by subject-matter experts (PS-SME), and the other one by machine learning-based selection (PS-ML). Cumulative device-specific unadjusted 3-year event rates varied for three surveyed safety signals: death from any cause, 12.8%–20.9%; Conclusion: Three statistical approaches, including one machine learning method, identified important safety signals, but without exact agreement. This work is published and licensed by Dove Medical Press Limited. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.