Even though India's growth rate has dropped in recent years, it still remains the fastest growing economy in the world. With this comes rapid social change sweeping through cities across the country and into the hearts of India's cities and villages. Earlier this year, a course at the Garwood Center for Innovation at University of California, Berkeley looked at this problem head-on. Students from business and engineering backgrounds spent the Fall 2015 semester looking at the problem and working in teams to propose solutions to specific problems such as transportation, healthcare, education and security. The adViz team picked security as their area of focus.

Machine learning is increasingly becoming mainstream. It promises higher accuracy and better ROI, and has started to emerge as one of the more reliable analytical practices in recent times. It provides organizations with an edge over their competition. That said, building the right team is a tricky challenge. The traditional approach of building an in-house team for same is not only cumbersome, but also takes lot of time to scale.

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Imagine you are standing on the Grand Canyon Skywalk, a horseshoe-shaped bridge suspended 1,200 meters above the Colorado River. You are likely to get dizzy and freeze up at the thought of venturing out onto the 10-cm thick glass. Nevertheless, you step forward and breathe a sigh of relief after realizing you are not tumbling toward the river. But how can you be sure what you see is really there? And more fundamentally, how do we know that we live in the real world and not a virtual one?

The social media company has been embroiled in a number of content moderation controversies this year, from facing international outcry after removing an iconic Vietnam War photo due to nudity, to allowing the spread of fake news on its site. Facebook has historically relied mostly on users to report offensive posts, which are then checked by Facebook employees against company "community standards." Decisions on especially thorny content issues that might require policy changes are made by top executives at the company. Candela told reporters that Facebook increasingly was using artificial intelligence to find offensive material. It is "an algorithm that detects nudity, violence, or any of the things that are not according to our policies," he said.

The'Netflix AI' set to hunt for aliens: Machine learning algorithm developed for online recommendations will scour the skies for systems that could sustain life Researchers are using machine learning to find stable planetary systems It uses techniques developed for Google's and Netflix recommendations The tool will also reveal the mass and how elliptical an exoplanet's orbit is Will be used to analyse data from NASA planet hunting mission It uses techniques developed for Google's and Netflix recommendations The tool will also reveal the mass and how elliptical an exoplanet's orbit is Machine learning software (pictured) that pull inspiration from Google and Netflix's algorithms could soon discover alien life in outer space. Did HALLUCINOGENS spark the Salem witch trials? Experts say... Iron Man suits, X ray detectors and a fake Facebook and... Hello there! Chimps can recognise friends with a single... How Donald Trump's administration could change the internet:... Did HALLUCINOGENS spark the Salem witch trials? Experts say... Iron Man suits, X ray detectors and a fake Facebook and... Hello there!

Apple confirms open secret: It's'investing heavily' in machine learning, autonomous car

As the fourth industrial revolution, characterised by smart factories and digital manufacturing, makes its presence felt globally, there is an upsurge in handwringing about the notion that technology will eliminate human jobs. Labour's deputy leader Tom Watson has even launched a new commission to study the future of work and tackle fears about the rise of the machines. Yet these concerns aren't new; they go back to the first Industrial Revolution some 250 years ago and the Canut revolts in France, as well as the Luddite resistance in Britain. "Nowadays, people who worry about new technologies are often dismissed as living in the past. That would not be fair; such concerns must be addressed seriously," Christine Lagarde, head of the International Monetary Fund, said at a conference recently.

If the government springs any more demonetisation-like surprises in the future, banks just might be better equipped to deal with it with a higher degree of automation and artificial intelligence. Not the Goddess of wealth, but an aptly-named two-feet-tall humanoid robot that can answer any query related to banking transactions, account balance or interest rate. Developed by the Coimbatore-based Vishnu Engineering, the robot is designed to provide information to customers and answer their related queries. "Usually when a customer enters a bank and goes to the'may I help you' counter, a set of questions take care of most customers' requirements. So the fundamental concept behind the robot is to answer all those questions," says N Kamakodi, MD & CEO, City Union Bank.

The Fujitsu Ltd. RoBoPin communication robot at the Combined Exhibition of Advanced Technologies in Japan on Oct. 4, 2016. Kai-Fu Lee, chairman and CEO of Innovation Works delivered the opening keynote of G-Summit. Lee speaks with authority as a pioneer in speech-recognition. He developed the world's first speaker-independent, continuous speech recognition system and later established Google China. "The future of jobs will change and reinvent every imaginable part of work (from AI)," said Lee.