Determining how to prevent acts of censorship has long been a priority for the non-profit Wikimedia Foundation, and thanks to new research from the Harvard Center for Internet and Society, the foundation seems to have found a solution: encryption. From a report: HTTPS prevents governments and others from seeing the specific page users are visiting. For example, a government could tell that a user is browsing Wikipedia, but couldn’t tell that the user is specifically reading the page about Tiananmen Square. Up until 2015, Wikipedia offered its service using both HTTP and HTTPS, which meant that when countries like Pakistan or Iran blocked the certain articles on the HTTP version of Wikipedia, the full version would still be available using HTTPS. But in June 2015, Wikipedia decided to axe HTTP access and only offer access to its site with HTTPS. […] The Harvard researchers began by deploying an algorithm which detected unusual changes in Wikipedia’s global server traffic for a year beginning in May 2015. This data was then combined with a historical analysis of the daily request histories for some 1.7 million articles in 286 different languages from 2011 to 2016 in order to determine possible censorship events. […] After a painstakingly long process of manual analysis of potential censorship events, the researchers found that, globally, Wikipedia’s switch to HTTPS had a positive effect on the number censorship events by comparing server traffic from before and after the switch in June of 2015.

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Source: Slashdot – Wikipedia’s Switch To HTTPS Has Successfully Fought Government Censorship

An anonymous reader shares an article: Kanishk Sajnani did not receive so much as a thank you from a major Indian airline when he contacted them with alarming news — he had hacked their website and could book flights anywhere in the world for free. It was a familiar tale for India’s army of “ethical hackers,” who earn millions protecting foreign corporations and global tech giants from cyber attacks but are largely ignored at home, their skills and altruism misunderstood or distrusted. India produces more ethical hackers — those who break into computer networks to expose, rather than exploit, weaknesses — than anywhere else in the world. The latest data from BugCrowd, a global hacking network, showed Indians raked in the most “bug bounties” — rewards for red-flagging security loopholes. Facebook, which has long tapped hacker talent, paid more to Indian researchers in the first half of 2016 than any other researchers. Indians outnumbered all other bug hunters on HackerOne, another registry of around 100,000 hackers. One anonymous Indian hacker — “Geekboy” — has found more than 700 vulnerabilities for companies like Yahoo, Uber and Rockstar Games. Most are young “techies” — software engineers swelling the ranks of India’s $154-billion IT outsourcing sector whose skill set makes them uniquely gifted at cracking cyber systems.

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Source: Slashdot – India’s Ethical Hackers Rewarded Abroad, Ignored at Home

An anonymous reader shares an article: A new neural network being built by a Danish startup called UIzard Technologies IVS has created an application that can transform raw designs of graphical user interfaces into actual source code that can be used to build them. Company founder Tony Beltramelli has just published a research paper that reveals how it has achieved that. It uses cutting-edge machine learning technologies to create a neural network that can generate code automatically when it’s fed with screenshots of a GUI. The Pix2Code model actually outperforms many human coders because it can create code for three separate platforms, including Android, iOS and “web-based technologies,” whereas many programmers are only able to do so for one platform. Pix2Code can create GUIs from screenshots with an accuracy of 77 percent, but that will improve as the algorithm learns more, the founder said.

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Source: Slashdot – Startup Uses AI To Create Programs From Simple Screenshots

An anonymous reader shares an NYTimes article: Beijing is backing its artificial intelligence push with vast sums of money. Having already spent billions on research programs, China is readying a new multibillion-dollar initiative to fund moonshot projects, start-ups and academic research (Editor’s note: the link could be paywalled; alternative source), all with the aim of growing China’s A.I. capabilities, according to two professors who consulted with the government on the plan. China’s private companies are pushing deeply into the field as well, though the line between government and private in China sometimes blurs. Baidu — often called the Google of China and a pioneer in artificial-intelligence-related fields, like speech recognition — this year opened a joint company-government laboratory partly run by academics who once worked on research into Chinese military robots. China is spending more just as the United States cuts back. This past week, the Trump administration released a proposed budget that would slash funding for a variety of government agencies that have traditionally backed artificial intelligence research.

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Source: Slashdot – Is China Outsmarting America in AI?

An anonymous reader shares an article: Official today, the ARM Cortex-A75 is the new flagship-tier mobile processor design, with a claimed 22 percent improvement in performance over the incumbent A73. It’s joined by the new Cortex-A55, which has the highest power efficiency of any mid-range CPU ARM’s ever designed, and the Mali-G72 graphics processor, which also comes with a 25 percent improvement in efficiency relative to its predecessor G71. The efficiency improvements are evolutionary and predictable, but the revolutionary aspects of this new lineup relate to artificial intelligence: this is the first set of processing components designed specifically to tackle the challenges of onboard AI and machine learning. Plus, last year’s updates to improve performance in the power-hugry tasks of augmented and virtual reality are being extended and elaborated. […] ARM won’t just be powering machine learning with its new chips, it’ll benefit from ML too. The new designs benefit from an improved branch predictor that uses neural network algorithms to improve data prefetching and overall performance.

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Source: Slashdot – ARM’s New Processors Are Designed To Power the Machine-Learning Machines

The vice chairman at Tech Mahindra, one of India’s largest technology services companies warned that U.S. President Donald Trump’s visa policies will damage the industry as his company reported weak earnings and his stock fell the most in almost two years. From a report: Tech Mahindra said net income was 5.9 billion rupees ($91 million) in the fourth quarter, compared with the average analyst estimate of 7.8 billion, according to estimates compiled by Bloomberg. The U.S. is tightening the criteria for visa programs that Tech Mahindra and other outsourcing companies use to bring skilled foreign workers into the country. Trump and other politicians have criticized the programs for hurting American workers and allowing companies to use cheaper employees from abroad. Tech services companies, including Cognizant Technology Solutions, have been cutting positions in India. Some workers have blamed Trump for prompting the job losses and exacerbating problems in the industry.

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Source: Slashdot – India Tech Giant Warns Trump’s ‘Radical Shift’ to Hurt Industry