We present a large scale hyperbolic recommender system. We discuss why hyperbolic geometry is a more suitable underlying geometry for many recommendation systems and cover the fundamental milestones and insights that we have gained from its development. In doing so, we demonstrate the viability of hyperbolic geometry for recommender systems, showing that they significantly outperform Euclidean models on datasets with the properties of complex networks. Key to the success of our approach are the novel choice of underlying hyperbolic model and the use of the Einstein midpoint to define an asymmetric recommender system in hyperbolic space. These choices allow us to scale to millions of users and hundreds of thousands of items.

Blogging birds is a novel artificial intelligence program that generates creative texts to communicate telemetric data derived from satellite tags fitted to red kites -- a medium-size bird of prey -- as part of a species reintroduction program in the U.K. We address the challenge of communicating telemetric sensor data in real time by enriching it with meteorological and cartographic data, codifying ecological knowledge to allow creative interpretation of the behavior of individual birds in respect to such enriched data, and dynamically generating informative and engaging data-driven blogs aimed at the general public. Geospatial data is ubiquitous in today's world, with vast quantities of telemetric data collected by GPS receivers on, for example, smartphones and automotive black boxes. Adoption of telemetry has been particularly striking in the ecological realm, where the widespread use of satellite tags has greatly advanced our understanding of the natural world.14,23 Despite its increasing popularity, GPS telemetry involves the important shortcoming that both the handling and the interpretation of often large amounts of location data is time consuming and thus done mostly long after the data has been gathered.10,24 This hampers fruitful use of the data in nature conservation where immediate data analysis and interpretation are needed to take action or communicate to a wider audience.25,26 The widespread availability of GPS data, along with associated difficulties interpreting and communicating it in real time, mirrors the scenario seen with other forms of numeric or structured data. It should be noted that the use of computational methods for data analysis per se is hardly new; much of science depends on statistical analysis and associated visualization tools. However, it is generally understood that such tools are mediated by human operators who take responsibility for identifying patterns in data, as well as communicating them accurately.

Artificial intelligence is taking over more and more jobs. The NYT reports that more and more journalism is actually being written by robots including nearly 1/3 of Bloomberg articles. "robot reporters have been prolific producers of articles on minor league baseball for The Associated Press, high school football for The Washington Post and earthquakes for The Los Angeles Times… Last week, The Guardian's Australia edition published its first machine-assisted article, an account of annual political donations to the country's political parties. And Forbes recently announced that it was testing a tool called Bertie to provide reporters with rough drafts and story templates… The Wall Street Journal and Dow Jones are experimenting with the technology to help with various tasks, including the transcription of interviews… Patch [is] a nationwide news organization devoted to local news, [with] 110 staff reporters and numerous freelancers who cover about 800 communities… In a given week, more than 3,000 posts on Patch -- 5 to 10 percent of its output -- are machine-generated… "One thing I've noticed," Mr. St. John said, "is that our A.I.-written articles have zero typos."

It's hard not to get the sense that you're getting a glimpse of the future of movies with a ticket to The Wandering Earth, a Chinese space spectacular that earned more than $300 million in its first week when it opened in its native country earlier this month, and has since opened in U.S. theaters and been acquired by Netflix. Set 2,500 years in the future, it's a hopeful but pragmatic sci-fi picture that understands what American blockbusters are still loath to admit: Responding to climate change will pose infrastructural challenges on a massive order and require drastic measures on a planetary scale. Perhaps it takes a country like China, which is accustomed to a manic rate of construction and grandness of organizational possibility, to seriously consider how dramatically humanity will have to reimagine our ways of life to survive such a catastrophic force. But in this film's dystopian future, it's not heat that threatens life but a life-snuffing frost. You can manage your newsletter subscriptions at any time.

The finalists for the 2018 Nebula Awards, considered some of the most prestigious in science fiction and fantasy, were announced on Wednesday, with novelists Tomi Adeyemi and Justina Ireland, filmmaker Boots Riley and musician Janelle Monáe among the nominees. Adeyemi and Ireland were nominated in the young adult category, Adeyemi for "Children of Blood and Bone" and Ireland for "Dread Nation." Both books gained critical acclaim upon their release, and Adeyemi's book was the inaugural pick for Jimmy Fallon's "Tonight Show" book club. The two authors are joined in the category by Roshani Chokshi's "Aru Shah and the End of Time," A.K. DuBoff's "A Light in the Dark," Rachel Hartman's "Tess of the Road" and Henry Lien's "Peasprout Chen: Future Legend of Skate and Sword." Finalists in the novel category included Mary Robinette Kowal's "The Calculating Stars" and R.F.

After 15 years of diligently exploring the surface of Mars, the Opportunity rover finally succumbed to the elements and went offline Feb. 13. As obituaries and tributes to "Oppy" surfaced, fans caught a glimpse into the robot's final moments: the last picture it sent, its last words, the last-ditch attempts to revive it. Scientists wept as they said their final farewells. As employees swayed and embraced, mission control sent one final transmission to Oppy: Billie Holiday's 1944 recording of "I'll Be Seeing You." The muted, intimate timbre of Holiday's voice helped millions say goodbye to "the little robot who could": I'll find you in the morning sun, I'll be looking at the moon, But I'll be seeing you.

Oh boy, well in that spirit let me tell you about Parzen Windows! Now we all want to know where things are, and how much of things. We especially want to know how much of things are where things are! If we don't know the shape of something how do we know its density? There are many methods like binning or histograms that everyone knows, but let me tell you about Parzen windows.

In a new paper, NIST researchers demonstrate that deep learning algorithms -- a form of artificial intelligence -- are significantly better than a commonly used, less sophisticated method for detecting when offshore radars are operating. Improved radar detection would enable commercial users to know when they must yield the so-called 3.5 Gigahertz (3.5 GHz) Band. In 2015, the FCC adopted rules for the Citizens Broadband Radio Service (CBRS) to permit commercial LTE (long-term evolution) wireless equipment vendors and service providers to use the 3.5 GHz Band when not needed for radar operations. Companies such as AT&T, Google, Nokia, Qualcomm, Sony and Verizon have been eager to access this band (between 3550 and 3700 MHz) because it will expand product markets and give end users better coverage and higher data rate speeds in a variety of environments where service is traditionally weak. NIST helped develop 10 standard specifications that enable service providers and other potential users to operate in the 3.5 GHz Band under FCC regulations while assuring the Navy that the band can be successfully shared without RF interference.

China's state-run press agency has welcomed its first female AI anchor who will join its growing team of virtual presenters. The female AI newsreader will make her professional debut during the upcoming meetings of the country's national legislature and top political advisory body in March, according to Xinhua at a press conference on Tuesday. Modelled after the agency's flesh-and-blood journalist Qu Meng, the AI newsreader was jointly developed by Xinhua and search engine company Sogou.com China's state-run press agency Xinhua on Tuesday unveiled its first female AI anchor, Xin Xiaomeng, who will join its growing team of virtual presenters The female AI anchor is modelled after agency's flesh-and-blood journalist Qu Meng. 'Hello everyone, I am the world's first female AI presenter developed by Xinhua News Agency and Sougu.