Astrophysics and cosmology are rich with data. The advent of wide-area digital cameras on large aperture telescopes has led to ever more ambitious surveys of the sky. Data volumes of entire surveys a decade ago can now be acquired in a single night and real-time analysis is often desired. Thus, modern astronomy requires big data know-how, in particular it demands highly efficient machine learning and image analysis algorithms. But scalability is not the only challenge: Astronomy applications touch several current machine learning research questions, such as learning from biased data and dealing with label and measurement noise. We argue that this makes astronomy a great domain for computer science research, as it pushes the boundaries of data analysis. In the following, we will present this exciting application area for data scientists. We will focus on exemplary results, discuss main challenges, and highlight some recent methodological advancements in machine learning and image analysis triggered by astronomical applications.

Artificial intelligence may help prevent heart failure. Doctors have lots of tools for predicting a patient's health. But--as even they will tell you--they're no match for the complexity of the human body. Heart attacks in particular are hard to anticipate. Now, scientists have shown that computers capable of teaching themselves can perform even better than standard medical guidelines, significantly increasing prediction rates.

We are pleased to invite you to contribute to the Eleventh ACM Conference on Recommender Systems (RecSys 2017), the premier venue for research and applications of recommendation technologies. The upcoming RecSys conference will be held in Como, Italy, from August, 27th to August 31st, 2017. The conference will continue RecSys' practice of connecting the research and practitioner communities to exchange ideas, frame problems, and share solutions. All the accepted papers will be published by ACM. We construe recommender systems broadly, including applications ranging from e-commerce to social networking, platforms from web to mobile and beyond, and a wide variety of technologies ranging from collaborative filtering to knowledge-based reasoning. The authors will be asked to indicate whether their paper is primarily Algorithm or Application focussed.

Russia's space-bound humanoid robot FEDOR (Final Experimental Demonstration Object Research) is being trained to shoot guns from both of its hands. The activity will help improve the android's motor skills and decision-making, according to its creators, who have also tried to address concerns that they're developing a real-life Terminator. "Robot platform F.E.D.O.R. showed shooting skills with two hands," wrote Russia's deputy Prime Minister, Dmitry Rogozin, on Twitter. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.

Some 70 years ago, computer scientist Alan Turing famously set the bar for artificial intelligence: a computer that could convince a human conversation partner that it was a person. On a recent spring afternoon in the Flow Machines laboratory, located on a quiet street in the Fifth Arrondissement of Paris, senior researcher Pierre Roy was more concerned with his music-making AI software's ability to create a convincingly catchy song. "So far, from the technical standpoint, no one knows how to do a proper song, to tell a story," he said. Flow Machines, a project of Sony Computer Science Laboratories in Paris that receives funding from the European Research Council, is developing an AI program that can compose compelling, professional-quality music -- an aim shared by similar ventures such as Jukedeck in the UK and Google's Magenta project. Ever since Turing defined his test, popular culture has fixated on the idea of sentient AI, both benign and catastrophically malign.

There's currently a shortage of over seven million physicians, nurses and other health workers worldwide, and the gap is widening. Doctors are stretched thin -- especially in underserved areas -- to respond to the growing needs of the population. Meanwhile, training physicians and health workers is historically an arduous process that requires years of education and experience. Gary Vaynerchuk was so impressed with TNW Conference 2016 he paused mid-talk to applaud us. Fortunately, artificial intelligence can help the healthcare sector to overcome present and future challenges.

Artificial Intelligence and Machine Learning are quickly becoming a key priority for innovative Retailers looking to secure a competitive advantage in 2017. But what are they exactly? How mature is the technology? The modern customer expects a consistent Customer Experience and demand their products right here, right now, but retailers are struggling to adapt. Current omnichannel concepts makes replenishment and competitive pricing strategies increasingly complex.

Tory voters' hard line on immigration gives Theresa May a Brexit headache - POLITICO

Swiping on dating apps is a breeze if you live in a town or city. One where dates get cancelled when animals go into labour, and where some people show up to their dates brandishing shotguns. For farmers, online dating is an experience. SEE ALSO: Irish farmer's glorious accent is so strong even Irish people can't understand it But, finding a likeminded person in the local area who he didn't already know proved challenging. "Another date was with a taxidermist who answered the door brandishing a shotgun." He tried out a dating site called MuddyMatches.co.uk which -- as the name suggests -- is for country-dwelling singles looking for love.

Jurgi Camblong is a self-confessed dreamer. He believes it's possible to "democratise data-driven medicine" by standardising data analytics around the world. Founded in 2011, Camblong's Swiss-based Sophia Genetics is trying to do this with artificial intelligence and machine learning. Camblong, speaking at the WIRED Health conference in London, announced that in the next few weeks the firm will have analysed the genomic profiles of 100,000 people. Genome sequencing is the practice of decoding a person's DNA, a process that creates colossal amounts of data.