What happens when criminals figure out how to use robots to commit crimes? Christopher Markou, a Ph.D. candidate and Faculty of Law at the University of Cambridge, takes a look at the disturbing possibility in We could soon face a robot crimewave ... the law needs to be ready, a commentary he wrote for The Conversation. "How do we make sense of all this?" asks Markou. Should we shrug our shoulders as a society and get back to Netflix? Should we start making plans for how we deal with all of this?

Do you work with AI or are interested in its practical applications? Become part of our community! What to expect from the event: Practical talks from 3 speakers with hands-on AI experience Q&A Focused round-table discussions on AI-related topics Snacks, beer and networking!

Welcome to the Schindler Conference Call on key figures for the First Quarter 2017. I'm here together with Erich Ammann, our CFO we will go into all financial details later during the call. As an introduction to the remark it is fair to say that we continued our successful plan of the last year as we kept our direction towards top-line growth and also higher profitability. Let's have a closer look on our highlights of the first quarter 2017 on slide two. We made further operational and strategic progress. First, we were able to confirm our growth path. Orders received increased by 5.9% in local currencies and also operating revenue rose by 3.8% in local currencies. Operating revenue was therefore within our guidance of 3% to 5% growth in 2017. Our investments into our geographic diversification mainly into our strategic markets were paying off. Second, we also continued to improve our profitability. The EBIT margin increased to 11.5% and even 11.7% before restructuring costs. Net profit stayed flat at CHF179 million due to some temporary booking losses on the ALSO exchangeable bond. Third, we made further progress in our strategic initiatives. We are on track with our globally harmonized modular product platforms, but it is still a long way to go to finalize this, and we were also able to successfully launch our new Internet of Elevator and Escalator Solutions, Schindler Ahead. Yesterday, we launched officially our new Schindler Ahead initiative and I would like to stay a little bit with that topic. As you can see on slide number 3, we will create significant customer benefits in the future. We increased the uptime of our equipment with predictive maintenance, we offer comprehensive insights about all type of information of the equipment for a better building, maintenance and management, and we generate convenience with superior customer service by interactive and personalized passenger experience. On slide four, you find the solution concept of our enhanced service offerings. There are four elements to be mentioned. First the Cube, The Cube enables machine intelligence, all relevant machine data are collected, filtered and transmitted to the cloud platform. The Cube is an intelligent device, not only a transmitter or a gateway, as we can run apps and stream multimedia content and handle emergency calls. The second topic is the cloud platform. The cloud platform creates real time insights.

People in Britain are more scared of the artificial intelligence embedded in household devices and self-driving cars than in systems used for predictive policing or diagnosing diseases. That's according to a survey commissioned by the Royal Society, which is billed as the first in-depth look at how the public perceives the risks and benefits associated with machine learning, a key AI technique. Participants in the survey were most worried by the notion that a robot, acting on conclusions derived by machine learning, would cause them physical harm. Accordingly, machines with close proximity to their users, such as those in the home and self-driving cars, were viewed as very risky. The notion of a robot animated by AI is known as "embodiment."

The many potential social and economic benefits from advances in AI-based technologies depend entirely on the environment in which these technologies evolve, says the Royal Society. According to a new report from the UK's science academy, urgent consideration needs to be given to the "careful stewardship" needed over the next ten years to ensure that the dividends from machine learning – the form of artificial intelligence that allows machines to learn from data – benefit all in UK society. Machine Learning: the power and promise of computers that learn by example, published today (25 April 2017), comes at a critical time in the rapid development and use of this technology, and the growing debate about how it will reshape the UK economy and people's lives. Crucially the report calls for research funding bodies to support a new wave of machine learning research that goes beyond technical challenges, and into areas aimed at addressing public confidence in machine learning – vital to the UK maintaining its internationally competitive edge at the forefront of this area. The report also offers the first evidence about the UK public's views on machine learning, including the application areas about which they are particularly positive, and the need for the real-world data feeding the growth of this technology to be dealt with fairly and securely.

Mike Abbott, Partner of Kleiner Perkins Caufield & Byers, sits with Dr. Fei Fei Li, Associate Professor in the Computer Science Department at Stanford, and the Director of the Stanford Artificial Intelligence Lab and the Stanford Vision Lab. Dr Li's main research areas are in machine learning, deep learning, computer vision and cognitive and computational neuroscience. She has published more than 150 scientific articles in top-tier journals and conferences and invented ImageNet and the ImageNet Challenge, a critical large-scale dataset and benchmarking effort that has contributed to the latest developments in deep learning and AI. As of January 2017, Fei-Fei Li is spending her sabbatical at Google Cloud as Chief Scientist AI/ML.

Our first Machine Intelligence event in Paris will be kicked off at Numa and will cover the following topics: deep learning, NLP, computer vision, voice recognition, self-driving car and jet and how they apply to different industries. From psychology to medicine, global policy, or even how can we prevent terrorist attacks. We are happy to announce that Snips's COO Yann Lechelle will be speaking on the following topics: "Voice First IoTs need AI Privacy" and Chatbot vs. Assistant myth. Afterward, he will also join the closing panel to discuss AI as well as entrepreneurial activity in France with other entrepreneurs and investors. If you are interested in speaking about machine learning and artificial intelligence, feel free to contact us.

Denis is Lead Technologist for IoT with Johnson Controls Innovation Group based in Cork, Ireland. His current role means collaborating extensively between technical and sales teams to drive further commercialisation opportunity through technology (both our own and partners/startups) into our sales channels, specifically looking at the emerging Smart Building market. The projects include our existing technologies – Building Security, Retail, HVAC and Building Energy - and emerging technologies such as IoT, AR and Machine Learning, then taking key input from numerous stakeholders and processes to deliver ROI for customers and partners from these solutions. Denis speaks on the national and international circuit for Johnson Controls at numerous technology conferences. Denis held a position of Principal Data Architect with EMC from 2010 to 2015, spending 2011 in Silicon Valley.

A stomach hormone that stimulates appetite seems to promote the growth of new brain cells and protect them from the effects of ageing – and may explain why some people say that fasting makes them feel mentally sharper. When ghrelin was first discovered, it became known as the hunger hormone. It is made by the stomach when it gets empty, and whenever we go a few hours without food its levels rise in our blood. But there is also evidence that ghrelin can enhance cognition. Animals that have reduced-calorie diets have better mental abilities, and ghrelin might be part of the reason why.

The Biorobotics Laboratory (BioRob) is part of the Institute of Bioengineering in the School of Engineering at the École polytechnique fédérale de Lausanne (EPFL). In this video, meet Professor Auke Ijspeert and his NCCR Robotics team, Kamilo Melo and Tomislav Horvat, along with some of the bioinspired robots they are working on.