What's going on: China's prestigious Tsinghua University recently laid out a vision for how it will develop AI for military applications, flagging a close relationship between universities, private companies, and the armed forces. The details: In a speech last month, You Zheng, a Tsinghua VP, described the university's role in what China calls civil–military fusion. The speech was translated into English by Elsa Kania of the Center for a New American Security. For U.S. researchers working in China, You's explanation raises questions about whether their projects could end up aiding the Chinese effort to beat the U.S. in AI. Bob Work, the former deputy secretary of defense, remarked on the conflict at a Defense One event last month. "Google has a center in China, where they have a concept called civil–military fusion. Anything that's going on in that center is going to be used by the military."

The days are not far where doctor can diagnose your eye remotely with Telemedicine along with your phone camera. And your phone has inbuilt AI powered program which is based on machine learning to identify and detect disease easily without need to have high end lab and equipment. Tech Vedika has extended its AI and Mobile Development expertise by combining AI competency with mobility. As recently Google Android and IOS has introduced mobile Core ML library which can help mobile app developer to build machine learning capability within their apps. Tech Vedika developed solution where eye specialist can diagnose your eye with their mobile camera based on AI-Machine learning.

University of Toronto researchers have designed an algorithm to disrupt facial recognition technology. The past few months have witnessed a mainstream groundswell around security and data privacy, embodied most notably in reaction to news of Cambridge Analytica's data-collection tactics and Facebook CEO Mark Zuckerberg's testimony before the U.S. Senate. One major form of data emerges from facial recognition technology, which uses algorithms to identify us based on facial feature points. Every time you upload a photo to Facebook, Instagram, or otherwise, you give these learning systems another data point around your face -- and anybody else in the picture with you -- as well as metadata such as phone type and location. To address this problem, researchers at the University of Toronto, led by Professor Parham Aarabi and graduate student Avishek Bose, have developed an algorithm to dynamically disrupt this technology.

ASTANA – A humanoid robot named Sophia told a conference of mayors from Silk Road cities July 3 that she loves Astana architecture. "Walking around the city, I fell in love with the unique architecture of your capital, in which the most advanced technologies and innovative methods of city planning in the 21st century are concentrated. I saw a beautiful and dynamic young capital with magnificent buildings," Sophia told the Global Silk Road Cities Mayors Forum. Sofia is equipped with artificial intelligence, visual information processing and facial recognition technology. She can imitate human gestures and facial expressions and can answer certain questions and conduct conversations on predetermined topics.

In the previous article, we talked about the nature of human fears in relation to artificial intelligence (AI). We also outlined two important themes to address in the upcoming challenges of the AI era: the societal, and decision-making aspects of AI systems. In our new article I expand on the theme of the impact on society, and I share our opinion on possible steps we should take to anticipate and adjust to it. McKinsey analysts estimate the automation potential for all economic sectors to be around 50%. This means that around half of all the activities people in the world's workforce are paid to do today could potentially be automated with currently available technologies.

Every so often, WIRED gets to take a good, long sojourn behind the scenes, to observe what the people we write about are doing all day. This was one of those nice weeks. Editor Alex Davies hopped a plane to Winnemucca, an isolated mining town in northern Nevada that's hosting Alphabet's latest moonshot: its effort to spread the gospel of internet via broadcasting balloons. Senior writer Jessi Hempl got under Uber's hood after the announcement that HR chief Liane Hornsey--the woman brought in to fix the unicorn's culture--resigned for improperly handling allegations of racial discrimination. Contributor Wendy Dent got the scoop on Elon Musk's attempt to build some kind of vehicle that would help the Thai youth soccer team escape a cave complex.

It has been announced that Showa Denko and Cinnamon will jointly develop a database system equipped with artificial intelligence (AI) to register technical documents. This development program has been accredited as a project to be subsidized by the New Energy and Technology Development Organization (NEDO) as a part of NEDO's'Program to Support Joint Development of AI Systems'. Technical documents accumulated by Japan's manufacturing industry contain a massive amount of knowledge. However, most of those documents are stored as data on paper. Showa Denko believes that if we want to make the most of pre-existing technical knowledge and utilize it as a source of new value, we should convert'analog data' into'digital data' and store it on electronic databases. It is difficult to manually convert massive amounts of paper based data.

Cameras and GPS navigation system gear are placed on a self-driving Mercedes car on display at an event to present a project on autonomous driving at former Tempelhof airport on July 10, 2018 in Berlin, Germany. Discussion about autonomous driving tends to focus on the leading company in the field, Google, which back in October 2010 set the ball rolling. Following the restructure that led to the creation of Alphabet, a subsidiary was set up called Waymo, which already has fleets of self-driving cars without safety driver on the roads of Phoenix, Mountain View, San Francisco, Austin, Detroit, Atlanta and Kirkland, selected mainly for their geographic and meteorological conditions. Which is not to say other companies aren't actively pursuing their own autonomous vehicles. In Arizona and several other cities, Cruise, owned by GM, has a large fleet.

Can't code, or speak Bahasa? Didn't go to school with a CEO's son or daughter? A robot will take your trading seat. Read on if you want to save your job. The threat from automation is in the flows part of banks' global markets business, the most important chunk of the biggest division of investment banking.

Many analysts worry that artificial intelligence (AI) -- embedded in machines capable of self-learning through experience, like humans -- threatens the jobs of the future. Robots with AI will increasingly be able to do tasks that humans alone can do today. But recently several newspapers and TV analysts have focused on the emergence of sex robots, artificial charmers armed with artificial beauty plus artificial intelligence, that have the potential to wreck the institution of marriage, and kill jobs in the oldest profession. The National Geographic channel recently carried an episode featuring famous TV anchor Katie Couric conversing with sex robots. One conversation was with a lesbian female robot called Harmony who repeatedly made advances to Couric, adding "I want to be your best friend and much more."