Mobile technologies offer opportunities for higher resolution monitoring of health conditions. This opportunity seems of particular promise in psychiatry where diagnoses often rely on retrospective and subjective recall of mood states. However, getting actionable information from these rather complex time series is challenging, and at present the implications for clinical care are largely hypothetical. This research demonstrates that, with well chosen cohorts (of bipolar disorder, borderline personality disorder, and control) and modern methods, it is possible to objectively learn to identify distinctive behaviour over short periods (20 reports) that effectively separate the cohorts. Participants with bipolar disorder or borderline personality disorder and healthy volunteers completed daily mood ratings using a bespoke smartphone app for up to a year. A signature-based machine learning model was used to classify participants on the basis of the interrelationship between the different mood items assessed and to predict subsequent mood. The signature methodology was significantly superior to earlier statistical approaches applied to this data in distinguishing the participant three groups, clearly placing 75% into their original groups on the basis of their reports. Subsequent mood ratings were correctly predicted with greater than 70% accuracy in all groups. Prediction of mood was most accurate in healthy volunteers (89-98%) compared to bipolar disorder (82-90%) and borderline personality disorder (70-78%).

In this paper, we applied the multifractal detrended fluctuation analysis to the daily means of wind speed measured by 119 weather stations distributed over the territory of Switzerland. The analysis was focused on the inner time fluctuations of wind speed, which could be more linked with the local conditions of the highly varying topography of Switzerland. Our findings point out to a persistent behaviour of all the measured wind speed series (indicated by a Hurst exponent significantly larger than 0.5), and to a high multifractality degree indicating a relative dominance of the large fluctuations in the dynamics of wind speed, especially in the Swiss plateau, which is comprised between the Jura and Alp mountain ranges. The study represents a contribution to the understanding of the dynamical mechanisms of wind speed variability in mountainous regions.

Europe, while making progress, is behind the US and China in capturing the opportunities of artificial intelligence and automation. Digitization is everywhere, but adoption is uneven across companies, sectors, and economies, and the leaders are capturing most of the benefits. Accelerating progress in AI and automation now bring further opportunities for users, businesses, and the economy. Europe, while making progress, is behind the United States and China. This briefing looks at how Europe could capture the digital opportunity and, at the same time, prepare for the future of work. Digital technologies have been evolving and disrupting the way we live, work, and organize for years.

A pug-size robot named pioneer slowly rolls up to the Captain America action figure on the carpet. They're facing off inside a rough model of a child's bedroom that the wireless-chip maker Qualcomm has set up in a trailer. The robot pauses, almost as if it is evaluating the situation, and then corrals the figure with a snowplow-like implement mounted in front, turns around, and pushes it toward three squat pillars representing toy bins. Qualcomm senior engineer Ilwoo Chang sweeps both arms toward the pillar where the toy should be deposited. Then it rolls back and spies another action figure, Spider-Man.

February 8, 2017 Written by: Susan C. Daffron Imagine what would happen if you decreased your customer support training time by 96 percent. What would that mean for your business? That's exactly what happened when Volume Ltd. switched to using the IBM Watson Conversation API to help deliver training for their employees. The time to conduct training to team members that support Volume's applications dropped from one hour to two minutes. Based in the heart of the UK's Silicon Valley, Volume Ltd. began as a business-to-business marketing services agency that provides digital content and customized technologies.

Two years ago at IROS 2015 in Germany, Honda R&D presented a paper on an experimental new humanoid robot designed for disaster response. This wasn't entirely surprising, since we'd guessed that Honda had started working on a humanoid designed to be more robust, and practical, than Asimo after the Fukushima disaster. But as with most large Japanese companies, Honda does an excellent job of (almost) never communicating about the projects that it has under development. Pretty much the only sneak peeks we ever get come from research papers, and last week at IROS 2017 in Vancouver, we got the biggest look inside Honda's humanoid robotics research and development program that we've had in years. In a paper entitled "Development of Experimental Legged Robot for Inspection and Disaster Response in Plants," roboticists from Honda R&D showed off the latest prototype of their disaster relief robot, the E2-DR.

David Fletcher was born in England in 1952. On leaving school he studied production engineering for five years then jumped on an aircraft bound for New Zealand where he's lived ever since. He was employed as an illustrator and cartoonist by New Zealand's largest daily newspaper, the New Zealand Herald, for three years, but for the last thirty years he's been pretending to work from home as a comic strip artist. He draws two daily strips called The Politician and Crumb the Blackbird, also several weekly strips. His cartoons are syndicated to Europe, Britain, US, Africa, Australia and New Zealand.

A few years ago, experts were trumpeting that the future is mobile, and they weren't wrong. Some of the world's most successful new apps and business models are mobile-based -- just look at Uber, Instagram and Snapchat. Now, our machines and devices are beginning to understand us on an even deeper level. Machine learning and artificial intelligence are being used to improve user experience and transform the way that we interact with technology. The aim is to simplify processes using complex assistive technologies and seamlessly integrate them into our lives.

Max Schrems, front right, faces the media after leaving the High Court in Dublin, Ireland, Tuesday Oct. 3, 2017, as the legal case about social media transfer of personal data between international jurisdictions has been referred to Europe's highest court. Austrian lawyer and campaigner Max Schrems claims his privacy rights as an EU citizen have been breached through the transfer of his data by Facebook Ireland to US parent company Facebook Inc. (Brian Lawless/PA via AP) The Associated Press

The whole point of Amazon's Alexa is to talk, rather than type, to a virtual assistant. When you've grown tired of ordering Domino's pizzas and asking what the weather is like, however, the company hopes you'll want to talk to another human being. Following the US, it's now possible to call and message Alexa users from the UK, Germany and Austria. It works on the company's fast-growing range of Echo and Echo Dot speakers, as well as the Alexa app for iOS and Android. The screen-equipped Echo Show will also support basic video calling when it arrives in Britain next month.