To see the world through the eyes of a 40-ton polar whale it helps to use a little bug. At least that's what this satellite tracking tag resembles. We're crammed into an inflatable black rubber zodiac on a blustery day in Antarctica's Gerlache Strait, puttering toward a motionless humpback whale. A fist-sized camera with gangly grasshopper-like antennae and suction cup feet sits on a pole resting on scientist Ari Friedlaender's shoulders. Towering icebergs and glacier-draped mountains rise around us.

There is a growing demand for nonparametric conditional density estimators (CDEs) in fields such as astronomy and economics. In astronomy, for example, one can dramatically improve estimates of the parameters that dictate the evolution of the Universe by working with full conditional densities instead of regression (i.e., conditional mean) estimates. More generally, standard regression falls short in any prediction problem where the distribution of the response is more complex with multi-modality, asymmetry or heteroscedastic noise. Nevertheless, much of the work on high-dimensional inference concerns regression and classification only, whereas research on density estimation has lagged behind. Here we propose FlexCode, a fully nonparametric approach to conditional density estimation that reformulates CDE as a non-parametric orthogonal series problem where the expansion coefficients are estimated by regression. By taking such an approach, one can efficiently estimate conditional densities and not just expectations in high dimensions by drawing upon the success in high-dimensional regression. Depending on the choice of regression procedure, our method can adapt to a variety of challenging high-dimensional settings with different structures in the data (e.g., a large number of irrelevant components and nonlinear manifold structure) as well as different data types (e.g., functional data, mixed data types and sample sets). We study the theoretical and empirical performance of our proposed method, and we compare our approach with traditional conditional density estimators on simulated as well as real-world data, such as photometric galaxy data, Twitter data, and line-of-sight velocities in a galaxy cluster.

With nearly 400 breeds spanning almost every corner of the planet, dogs have long followed man on his travels. In a bid to piece together the complex evolution of dogs, researchers have looked at the genetic sequences of 161 modern breeds. The resulting map unearths new evidence that dogs travelled with humans across the Bering land bridge 15,000 years ago, and will likely help researchers identify disease-causing genes in both dogs and humans. In a bid to piece together the complex evolution of dogs, researchers have looked at the genetic sequences of 161 modern breeds. Researchers from the National Institutes of Health (NIH) in Maryland say their findings highlight how the oldest dog breeds evolved, or were bred to fill certain roles.

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.

AI is all around us, quietly working in the background or interacting with us via a number of different devices. Various industries are using AI for specific reasons such as ensuring that flights arrive on time or irrigating fields better and more economically. Over time, our interactions with AI are becoming more sophisticated. In fact, in the not-too-distant future we'll have personal digital assistants that know more about us than we know about ourselves. For now, there are countless AI projects popping up in commercial, industrial and academic settings.

Dynamic Programming (DP) over tree decompositions is a well-established method to solve problems - that are in general NP-hard - efficiently for instances of small treewidth. Experience shows that (i) heuristically computing a tree decomposition has negligible runtime compared to the DP step; and (ii) DP algorithms exhibit a high variance in runtime when using different tree decompositions; in fact, given an instance of the problem at hand, even decompositions of the same width might yield extremely diverging runtimes. We thus propose here a novel and general method that is based on selection of the best decomposition from an available pool of heuristically generated ones. For this purpose, we require machine learning techniques that provide automated selection based on features of the decomposition rather than on the actual problem instance. Thus, one main contribution of this work is to propose novel features for tree decompositions. Moreover, we report on extensive experiments in different problem domains which show a significant speedup when choosing the tree decomposition according to this concept over simply using an arbitrary one of the same width.

ContentWise, the personalization, discovery, analytics and metadata expert, today announced that Cablevisión Argentina (CVA) has successfully deployed the ContentWise personalization system in Cablevisión Flow, its new suite of multiscreen television services as part of its drive to provide new, next-generation services to its customers. ContentWise has been selected as part of a new, best-of-breed video platform, which includes the Minerva 10 multiscreen TV platform by Minerva Networks. The Contentwise Personalization system anticipates user s actions and facilitates discovery by sorting content based on user s taste as well as showing trending titles popular with other subscribers with similar viewing habits. ContentWise next-generation solution enables CVA to utilize: Personalized content discovery with context-aware algorithmic and social content recommendations; Automatic micro-genres, dynamically adapted to CVA Spanish offering; Assisted content curation tools, including business rules providing total control to editorial and marketing teams. ContentWise is the TV personalization software that gives broadcast, Pay TV and OTT operators total control over the curation and automation of the Personalized TV experience, providing a UX engine API that controls each user interface element across screens and apps.

Chatbots were simple in the beginning, often limited to web browser pop-ups that could only send straightforward greetings like "Hi, how are you?" to website visitors. Because of AI and cloud technology, chatbots are no longer just a nice-to-have greeting tool, but a key element in fostering a more engaging customer experience for businesses across every industry. By tapping into deep learning technologies, these tools learn, converse, and understand the world similarly to the way humans do, making customer service simpler and more efficient. Consumers are encountering these technologies more frequently -- according to Gartner, by 2018, 30 percent of our interactions with new technologies will be through "conversations" with smart machines. Chatbots can be found everywhere, helping customers with nearly any task, from online shopping to planning a wedding.

Margaret Atwood on why'The Handmaid's Tale' is more relevant now than ever When "The Handmaid's Tale" was published in 1985, reproductive rights were under siege and acid rain was corroding the forests and rivers. The Canadian writer Margaret Atwood reasoned that if you took all this to its logical end, you could wind up with a theocracy, not a democracy, and a population rendered sterile by its own poisons. So her novel of speculative fiction imagined a hyper-religious nation where young women who were still fertile were rounded up and confined to the human equivalent of puppy mills, forced to bear the children of powerful men. Well, here we are in 2017, and women's rights to control their own bodies are at risk again, the environment is threatened again -- and "The Handmaid's Tale" is more popular than ever. It became a feature film in 1990, and this April 26, Hulu launches "The Handmaid's Tale" as a 10-episode series. Why is this book, like George Orwell's "1984," finding a new and large and attentive following?

By the way, you can listen to a neuron fire here (what you're actually hearing is the electro-chemical firing of a neuron, converted to audio). Some electrodes want to take the relationship to the next level and will go for a technique called the patch clamp, whereby it'll get rid of its electrode tip, leaving just a tiny little tube called a glass pipette,21 and it'll actually directly assault a neuron by sucking a "patch" of its membrane into the tube, allowing for even finer measurements:39 A patch clamp also has the benefit that, unlike all the other methods we've discussed, because it's physically touching the neuron, it can not only record but stimulate the neuron,22 injecting current or holding voltage at a set level to do specific tests (other methods can stimulate neurons, but only entire groups together). Finally, electrodes can fully defile the neuron and actually penetrate through the membrane, which is called sharp electrode recording. If the tip is sharp enough, this won't destroy the cell--the membrane will actually seal around the electrode, making it very easy to stimulate the neuron or record the voltage difference between the inside and outside of the neuron. But this is a short-term technique--a punctured neuron won't survive long.