government


Banned In China: Why Live Streaming Video Has Been Censored

International Business Times

A recent ban affecting three of China's biggest online platforms aimed at "cleaning up the air in cyberspace" is just the latest government crackdown on user-generated content, and especially live streaming. This edict, issued by China's State Administration of Press, Publication, Radio, Film and Television (SAPPRFT) in June, affects video on the social media platform Sina Weibo, as well as video platforms Ifeng and AcFun. In 2014, for example, one of China's biggest online video platforms LETV began removing its app that allowed TV users to access online video, reportedly due to SAPPRFT requirements. China's largest social media network, Sina Weibo, launched an app named Yi Zhibo in 2016 that allows live streaming of games, talent shows and news.


First Global Credit - Do A.I and Cryptocurrency work well together?

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We are speaking about the world-altering technology of Artificial Intelligence as the first superpower coupled with the financial system disruptive technology of cryptocurrency -- a decentralised payment system that circumvents government manipulation of currency and is forcing us to redefine the concept of money. Artificial Intelligence (AI) means software that after its initial programming continues to improve its performance based on experience of the environment it has been set to'learn.' So we return to the original question: "can a market as young and volatile as cryptocurrency be successfully partnered with Artificial Intelligence to produce a profitable outcome? This means, there is room while cryptocurrency markets are still in their infancy for AI developers to create systems that learn to identify profit opportunities in these young, highly volatile markets.


The Real Threat of Artificial Intelligence

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Imagine the gains to a loan company that could issue 30 million loans a year with virtually no human involvement. We are thus facing two developments that do not sit easily together: enormous wealth concentrated in relatively few hands and enormous numbers of people out of work. It seems American businesses will dominate in developed markets and some developing markets, while Chinese companies will win in most developing markets.


Federal Technology News and Analysis for IT Managers & Acquisition Teams

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It's come a long ways from 300 baud modems and original IBM PCs. Lawmakers: How Many Cyber Threat Centers Does the Government Need? Congress questions HHS' cyber threat center and other things they did ... White House Artifacts to Be Digitized Using Amazon Web Services The White House Historical Association is building a virtual tour app for ... GSA Seeks Blockchain Solutions The technology would help speed up proposal review. How Not to Win an AI Arms Race With China A lawmaker's proposal to curb Chinese investment in U.S. artificial-intelligence firms has more ...


Opinion The Real Threat of Artificial Intelligence

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Imagine the gains to a loan company that could issue 30 million loans a year with virtually no human involvement. As for the consumer internet market, seven American or Chinese companies -- Google, Facebook, Microsoft, Amazon, Baidu, Alibaba and Tencent -- are making extensive use of A.I. It seems American businesses will dominate in developed markets and some developing markets, while Chinese companies will win in most developing markets.


Canada has a chance to monopolize the artificial intelligence industry - The Globe and Mail

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Commit to building the world's best AI ecosystem: The winning AI cluster will create many high-paying jobs and create spillover effects for the middle class – but the also-rans will not. Create at-scale AI training programs: Industry can form coalitions to collect data, oversee curriculum development and rapidly retrain workers in the skills needed to succeed in nascent AI applications. Launch innovative new training models: The government could launch and fund a "venture capital lab" to create innovative training programs, so new training ideas can be tested, validated and scaled up (as recommended by the Advisory Council on Economic Growth). Build real links between companies and research schools: Large companies could partner with universities and vocational schools to provide equipment, facilities and expertise to prepare students for AI.


Mapping the Canadian AI Ecosystem

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UPDATE June 13, 2017: Last week I posted V1 of our Map of the Canadian AI Ecosystem, and since then I've been inundated with additions. Indeed, Edmonton received $35M from Ottawa while Vancouver received none of that federal money, despite having 5x the number of startups that Edmonton has. Edmonton has a great opportunity to build their startup ecosystem before the venture funding really kicks in. But if we want to go beyond research and become big players in the AI market, research is not enough.


Flipboard on Flipboard

#artificialintelligence

Commit to building the world's best AI ecosystem: The winning AI cluster will create many high-paying jobs and create spillover effects for the middle class – but the also-rans will not. Create at-scale AI training programs: Industry can form coalitions to collect data, oversee curriculum development and rapidly retrain workers in the skills needed to succeed in nascent AI applications. Launch innovative new training models: The government could launch and fund a "venture capital lab" to create innovative training programs, so new training ideas can be tested, validated and scaled up (as recommended by the Advisory Council on Economic Growth). Build real links between companies and research schools: Large companies could partner with universities and vocational schools to provide equipment, facilities and expertise to prepare students for AI.


Canada has a chance to monopolize the artificial intelligence industry

#artificialintelligence

Commit to building the world's best AI ecosystem: The winning AI cluster will create many high-paying jobs and create spillover effects for the middle class – but the also-rans will not. Create at-scale AI training programs: Industry can form coalitions to collect data, oversee curriculum development and rapidly retrain workers in the skills needed to succeed in nascent AI applications. Launch innovative new training models: The government could launch and fund a "venture capital lab" to create innovative training programs, so new training ideas can be tested, validated and scaled up (as recommended by the Advisory Council on Economic Growth). Build real links between companies and research schools: Large companies could partner with universities and vocational schools to provide equipment, facilities and expertise to prepare students for AI.


Jack Ma predicts AI will dramatically reduce our workload

Daily Mail

It's good news for people who find work a drag, as Alibaba founder Jack Ma believes we will work just four hours a day for four days a week by 2047. The Chinese billionaire said he believed people would reap the benefits of artificial intelligence (AI) and be free to spend more time travelling and less time working. The Chinese billionaire said he believed people would reap the benefits of artificial intelligence (AI) and be free to spend more time travelling and less time working. It's good news for people who find work a drag as Alibaba founder Jack Ma believes we could work as little as 16 hours a week in three decades time (stock image) 'So when we see something is coming, we have to prepare now.