Generalized cross validation (GCV) is one of the most important approaches used to estimate parameters in the context of inverse problems and regularization techniques. A notable example is the determination of the smoothness parameter in splines. When the data are generated by a state space model, like in the spline case, efficient algorithms are available to evaluate the GCV score with complexity that scales linearly in the data set size. However, these methods are not amenable to on-line applications since they rely on forward and backward recursions. Hence, if the objective has been evaluated at time $t-1$ and new data arrive at time t, then O(t) operations are needed to update the GCV score. In this paper we instead show that the update cost is $O(1)$, thus paving the way to the on-line use of GCV. This result is obtained by deriving the novel GCV filter which extends the classical Kalman filter equations to efficiently propagate the GCV score over time. We also illustrate applications of the new filter in the context of state estimation and on-line regularized linear system identification.

In many large-scale machine learning applications, data are accumulated with time, and thus, an appropriate model should be able to update in an online paradigm. Moreover, as the whole data volume is unknown when constructing the model, it is desired to scan each data item only once with a storage independent with the data volume. It is also noteworthy that the distribution underlying may change during the data accumulation procedure. To handle such tasks, in this paper we propose DFOP, a distribution-free one-pass learning approach. This approach works well when distribution change occurs during data accumulation, without requiring prior knowledge about the change. Every data item can be discarded once it has been scanned. Besides, theoretical guarantee shows that the estimate error, under a mild assumption, decreases until convergence with high probability. The performance of DFOP for both regression and classification are validated in experiments.

Experts from the likes of Microsoft and Audi are gathered with UN leaders and academics to debate the pros and cons of Artificial Intelligence in Geneva this week, reports Euronews' Jeremy Wilks. Artificial Intelligence is "probably the most significant technology we will ever create," says Peter Diamandis in his opening video address to the ITU's AI for Good summit. The X Prize founder always speaks with the zeal of the finest Silicon Valley entrepreneurs, and here he is in his element. Taking up the baton on stage is Marcus Shingles, X Prize CEO, who with the tone of a motivational speaker expounds the huge unleashed potential of the smartphones in the pockets of 3.6 billion people today. Artificial Intelligence, say its proponents, can heal healthcare, make travel safe, and boost your wealth.

After receiving more than 18,300 applications, NASA has finally announced its new class of astronauts – some of whom could move on to deep-space missions aboard the Orion spacecraft. The space agency introduced 12 men and women today on stage at the Johnson Space Center in Houston, during an event that was attended by Vice President Mike Pence. Vice President Pence wished'Godspeed' to the new class, and revealed the Trump administration will be reopening the National Space Council, with Pence as a chair, in efforts to'ensure that America will never again lose our lead in space exploration and space innovation technology.' The lineup includes: Kayla Barron, Zena Cardon, Raja Chari, Matthew Dominick, Bob Hines, Dr Warren'Woody' Hoburg, Jonny Kim, Robb Kulin, Jasmin Moghbeli, Loral O'Hara, Dr Frank Rubio, Jessica Watkins The chosen few will undergo two years of training, after which they will be assigned to various missions, including research on the International Space Station, launches aboard commercial spacecraft, and even deep-space exploration. After brief introductions from Johnson Center Director Ellen Ochoa and the showing of a video from current astronauts welcoming the newcomers, Flight Operations Director Brian Kelly introduced the new candidates one by one, in alphabetical order. The lineup includes: Kayla Barron, Zena Cardon, Raja Chari, Matthew Dominick, Bob Hines, Dr Warren'Woody' Hoburg, Jonny Kim, Robb Kulin, Jasmin Moghbeli, Loral O'Hara, Dr Frank Rubio, Jessica Watkins.

South Wales Police carried out the U.K.'s first arrest using facial recognition, Ars Technica UK reported. The arrest using automatic facial recognition (AFR) was made on May 31 and was not related to the Champions League final. It's unclear whether the apprehension was due to authorities testing the technology prior to the match. International Business Times has reached out to South Wales Police regarding the arrest. The department previously said there was "a very low number of arrests over the period of the festival including match day," in a statement on Tuesday.

The text analysis part of the AMiCA project (http://www.amicaproject.be), a cooperation between the University of Antwerp and the University of Ghent, developed methods and software to help moderators detect occurrences of unwanted or dangerous situations in their social networks. More specifically, the project developed prototype systems for the detection of cyberbullying, suicide announcements, and sexually transgressive behavior. In this talk I will focus on the text analysis methods that were used for normalization of social media text, for profiling users, and for detecting dangerous content. I will describe the architectures and results of the three resulting applications.

With the increasing volume and impact of communication on social media, social media analysis has become one of the most trending topics in natural language research, which can be observed in a growing number of workshops and conferences dedicated to this topic, projects funded, and research centers established. As a result, a number of social media resources containing chats, online commentaries, reviews, blogs, emails, forums, etc., as well as audio and video recordings, have been accumulated in the repositories of CLARIN centers. What is more, due to their distinct communicative characteristics, they pose new technical challenges for the standard natural language processing tools as well as new legal and ethical challenges for the dissemination of such resources, which has also been addressed by CLARIN, making the available infrastructure an important means for attracting new users to the CLARIN community.

The aims of the CLARIN-PLUS workshop "Creation and Use of Social Media Resources" are: to demonstrate the possibilities of social media resources and natural language processing tools for researchers with a diverse research background who are interested in empirical research of language and social practices in computer-mediated communication; to promote interdisciplinary cooperation possibilities; to initiate a discussion on the various approaches to social media data collection and processing.

It's a dirty job but somebody's got to do it. And when it comes to the expensive, claustrophobic and sometimes dangerous work of inspecting natural gas and oil pipelines, that somebody is a robot. "We can make sure that these critical elements of energy infrastructure operate more safely, more reliably, more economically," said Edward Petit de Mange, the managing director at the San Diego hub of Diakont, an international high-tech engineering and manufacturing company with offices in Russia, Italy and North America. According to the federal government, more than 2.6 million miles of pipelines supply the nation's energy needs. But aging and deteriorating pipelines pose substantial risks.

Driven by the rapid progress in Artificial Intelligence (AI) research, intelligent machines are gaining the ability to learn, improve and make calculated decisions in ways that will enable them to perform tasks previously thought to rely solely on human experience, creativity, and ingenuit y. As a result, we will in the near future see large parts of our lives influenced by AI. AI innovation will also be central to the achievement of the United Nations' Sustainable Development Goals (SDGs) and will help solving humanity's grand challenges by capitalizing on the unprecedented quantities of data now being generated on sentiment behavior, human health, commerce, communications, migration and more. With large parts of our lives being influenced by AI, it is critical that government, industry, academia and civil society work together to evaluate the opportunities presented by AI, ensuring that AI benefits all of humanity. Responding to this critical issue, ITU and the XPRIZE Foundation are organizing AI for Good Global Summit in Geneva, 7-9 June, 2017 in partnership with a number of UN sister agencies.