With the evolution of the united payments interface, India's leading HDFC Bank's Aditya Puri, is critical of the future of digital wallets like Paytm and their promise of offering interest rates to consumers on savings post the launch of payment banks. Paytm is expected to launch its Paytm Bank next week. Sharply criticising the Paytm model, the Managing Director of country's second-biggest private lender, said any model that is based on not making money is not viable in the long run. Puri told Entrepreneur that just being a wallet is not going to be viable, and that wallets will have to create a bigger universe."Wallets Now when banks have wallets, why would users use external wallets," asks Puri.

In a new resolution, members of the European Parliament have proposed EU Commission rules governing robotics and artificial intelligence. The proposed rules will focus on issues of liability, the impact of robots on the workforce, a code of ethical conduct for developers, and the establishment of a European Agency for robotics and artificial intelligence. Liability issues are of growing concern, with MEPs pointing specifically to issues surrounding the growing market in self-driving cars. They have called for mandatory insurance and a supplementary fund to ensure compensation for victims of accidents involving autonomous vehicles. In the resolution, MEPs also stated a concern that the growing adoption of robots in the workforce could cause labor market disruption and proposed a'robot tax' on companies adopting robots to replace human workers.

Americans born in the United States are more murderous than undocumented immigrants. After all, that's just what the numbers say. Still, be honest: you wouldn't linger over a story with that headline. Instead, you'll see two dozen reporters flock to a single burning trash can during an Inauguration protest. The aberrant occurrence is the story you'll read and the picture you'll see.

SpaceX began testing its Falcon 9 rocket a few days ago, ahead of the Saturday morning launch that will send an unmanned Dragon cargo spacecraft to the International Space Station (ISS) on a resupply mission. And despite minor glitches that have occurred since the first static test-fire Sunday, the commercial launch for NASA is scheduled to go ahead at its planned time of 10:01 a.m. EST from the historic launch complex 39A at the Kennedy Space Center in Cape Canaveral, Florida. Saturday's mission will be SpaceX's tenth cargo mission to the ISS for NASA, and both the Elon Musk company and the space agency seem excited about. The small problems that cropped up with the Falcon 9 -- a small leak in the upper stage of the rocket -- seem to be all fixed, as Musk pointed out. The Dragon cargo spacecraft will carry about 5,500 pounds of supplies, equipment and scientific experiments to the ISS, which it will take two days to reach.

With the rapid advancement of information discovery techniques, machine learning and data mining continue to play a significant role in cybersecurity. Although several conferences, workshops, and journals focus on the fragmented research topics in this area, there has been no single interdisciplinary resource on past and current works and possible paths for future research in this area. This book fills this need. From basic concepts in machine learning and data mining to advanced problems in the machine learning domain, Data Mining and Machine Learning in Cybersecurity provides a unified reference for specific machine learning solutions to cybersecurity problems. It supplies a foundation in cybersecurity fundamentals and surveys contemporary challenges--detailing cutting-edge machine learning and data mining techniques.

Bill Gates, the co-founder of Microsoft and world's richest man, said in an interview Friday that robots that steal human jobs should pay their fair share of taxes. "Right now, the human worker who does, say, $50,000 worth of work in a factory, that income is taxed and you get income tax, Social Security tax, all those things," he said. "If a robot comes in to do the same thing, you'd think that we'd tax the robot at a similar level." Gates made the remark during an interview with Quartz. He said robot taxes could help fund projects like caring for the elderly or working with children in school.

A panel of esteemed cryptographers at RSA 2017 expressed doubt over artificial intelligence's applicability in the cybersecurity space, tossing cold water on what otherwise appeared to be a hot technology at the conference. "The real problem is that what AI and machine learning is great at is lots of data and dealing with it effectively and what we're dealing with, with the serious attacks are anomalous situations and AI does not look like it's going to be useful there," said Susan Landau, professor of cybersecurity policy and professor of computer science at Worcester Polytechnic Institute, during the session earlier this week. Adi Shamir, Borman professor of computer science at the Weizmann Institute in Israel, said that AI would likely be helpful in defending against attacks when they happen, but not sniffing out threats before they materialize. "I think that AI can be very helpful on the defensive side," said Shamir, who earlier this month was named a recipient of the 2017 Japan Prize. "I doubt it would be so helpful for new zero days because this requires more ingenuity and originality. But when you talk about finding deviations from normal behavior, I think that AI systems are going to be very useful... Ronald Rivest, a professor at the MIT Institute, said that he was "skeptical" that AI would have a significant impact on security. He did, however, acknowledge that AI played an important role in spreading fake news and propaganda during the U.S. election. "There are AI bots talking on chat rooms... adding misinformation and disinformation," said Rivest. "I can imagine 10 or 15 years from now, we're going to find ourselves competing to find the humans among just a sea of bots talking to each other intelligently." But Shamir had a different vision for AI as it becomes super intelligent in the next 15 years: I can foresee a situation which we'll give all of the available data about cybersecurity to this program and it will think for a long time and then say in a calm voice, 'In order to save the Internet I'll have to kill it,'" said Shamir, facetiously.

Robots are taking human jobs. But Bill Gates believes that governments should tax companies' use of them, as a way to at least temporarily slow the spread of automation and to fund other types of employment. It's a striking position from the world's richest man and a self-described techno-optimist who co-founded Microsoft, one of the leading players in artificial-intelligence technology. In a recent interview with Quartz, Gates said that a robot tax could finance jobs taking care of elderly people or working with kids in schools, for which needs are unmet and to which humans are particularly well suited. He argues that governments must oversee such programs rather than relying on businesses, in order to redirect the jobs to help people with lower incomes.

It takes bravery nowadays to predict the future. Indeed, if the events of 2016 have taught us anything, it's that unlikely outcomes can easily become a reality. This year marks the 20th year of our CEO Survey and it's been fascinating to look back over the surveys to see how the thinking of CEOs has developed, reflecting the environment around them. To their credit, CEOs saw a lot of the turmoil coming; back in 2009, 76% predicted a rise in political and religious tension and even then 46% believed that governments would become more protectionist. But successful predictions are relatively rare - and that's a salient lesson for people strategy. In 2015, our CEO survey showed that a third of business leaders were increasing their reliance on contractors and freelancers – signalling the emergence of the'gig economy'.

The Global Scientific Information and Computing Center at the Tokyo Institute of Technology has been at the forefront of accelerated computing, and well before GPUs came along and made acceleration not only cool but affordable and normal. But its latest system, Tsubame 3.0, being installed later this year, the Japanese supercomputing center is going to lay the hardware foundation for a new kind of HPC application that brings together simulation and modeling and machine learning workloads. The hot new idea in HPC circles is not just being able to run machine learning workloads side by side with simulations, but to use machine learning to further accelerate the simulation, and we have a future feature story underway, based on conversations with researchers at TiTech and at Oak Ridge National Laboratory, where the "Summit" hybrid CPU-GPU system is being built for the US Department of Energy, about this very topic. Suffice it to say, the idea is to integrate machine learning into the simulation, to do some of the computationally intensive stuff in a new way. So, as part of a climate model, you teach the system using machine learning to predict the weather by watching movies of the weather, or in astronomy, you use machine learning to remove the noise from the signal to find the interesting bits of a star field.