Fashion has come a long way in India. It doesn't imitate the international couture anymore like the mid 90s. It has build up a signature of its own in the global market, which is why we see Sabyasachi and Manish Malhotra becoming the favourite couturier for Hollywood celebrities. Fashion was always very artsy. So a designer would require a pencil and paper to draw his imagination and rely solely of pen and paper research. But no more, thanks to the cloud, things have become convenient.

Chinese Go player Ke Jie analyses the game after the second match against artificial intelligence program AlphaGo in Wuzhen, east China's Zhejiang province, May 25, 2017.(Xinhua/Xu BEIJING, May 29 (Xinhua) -- It might arouse complicated and mixed feelings among human beings, when AlphaGo on Saturday grabbed the laurels from the world's top-ranked Go player Ke Jie with the artificial intelligence (AI) program's three-winning streak in the ancient Chinese board game. AlphaGo's victory has been hailed as a landmark for the development of AI, as Go (Encirclement Chess), dating back to thousands of years ago, has been claimed as the most complex board game in the human world. Now, the world-class computer program has been thrust into global limelight, as technologies behind AlphaGo push visions of how creative future can be. AI would not only be utilized for more general purposes in human life, but will also shake up the landscapes of a range of industries from e-commerce to healthcare.

TOKYO (Reuters) - Japan aims to finalize on June 9 plans to allow package delivery by drone sometime from 2020 and the commercialization of self-driving trucks by 2022, as it scrambles to breathe new life into its corporate sector, sources told Reuters.

If it was just about man versus machine in the ancient Chinese game of Go, then Google has come out on top. The reigning world champion, 19-year-old prodigy Ke Jie proved no match for the tech giant's artificial intelligence AlphaGo, losing the game of strategy in the picturesque water town of Wuzhen. The contest is seen as an attempt for the Californian company to make a soft entry back into the Chinese market, seven years after they withdrew amid censorship and hacking concerns. The best of three match-up against Ke drew comparisons to IBM DeepBlue's chess games against the Russian master Gary Kasparov in the 1990s. "I have a huge amount of respect for Ke Jie taking on AlphaGo, and as a human he has to take on not just the game itself but also the psychological pressure of being in this intense situation", AlphaGo lead developer David Silver said. Developers said the AI had significantly improved since a similar series of games with a South Korean champion in early 2016.

Is Elon Musk secretly working on a race of Dr. Whovian Cybermen? The magnate recently argued at the World Government Summit in Dubai that human beings would need to merge at least slightly with robots in order to keep up in an increasingly AI-dominated world.

In this video interview with Quartz, AI expert Kai-Fu Lee talked about some of the issues raised by last year's hit HBO TV show Westworld, which was about a futuristic theme park hosted by robots, where human visitors pay to live out their fantasies. Lee is a famous venture capitalist in China and a former Microsoft and Google executive. He has an undergrad degree in computer science from Columbia and PhD from Carnegie Mellon University, where he did pioneering work on machine learning and speech recognition.

Dr Soren Schwertfeger finished his post-doctorate research on autonomous robots in Germany and seemed set to continue his work in Europe or the United States, where artificial intelligence was pioneered and established. Instead, he went to China. "You couldn't have started a lab like mine elsewhere," Dr Schwertfeger said. The balance of power in technology is shifting. China, which for years watched enviously as the West invented the software and the chips powering today's digital age, has become a major player in artificial intelligence, what some think may be the most important technology of the future.

Imagine that, in 20 or 30 years, a company creates the first artificially intelligent humanoid robot. She looks like a person, talks like a person, interacts like a person. If you were to meet Ava, you could relate to her even though you know she's a robot. Ava is a fully conscious, fully self-aware being: She communicates; she wants things; she improves herself. She is also, importantly, far more intelligent than her human creators.

The Robocop is a five ft. He can chat and interact, respond to public queries, shake hands and offer a military salute.

The recently proposed DeGroot-Friedkin model describes the dynamical evolution of individual social power in a social network that holds opinion discussions on a sequence of different issues. This paper revisits that model, and uses nonlinear contraction analysis, among other tools, to establish several novel results. First, we show that for a social network with constant topology, each individual's social power converges to its equilibrium value exponentially fast, whereas previous results only concluded asymptotic convergence. Second, when the network topology is dynamic (i.e., the relative interaction matrix may change between any two successive issues), we show that each individual exponentially forgets its initial social power. Specifically, individual social power is dependent only on the dynamic network topology, and initial (or perceived) social power is forgotten as a result of sequential opinion discussion. Last, we provide an explicit upper bound on an individual's social power as the number of issues discussed tends to infinity; this bound depends only on the network topology. Simulations are provided to illustrate our results.