This is an Inside Science story. When a song plays on the radio, there are invisible forces at work that go beyond the creative scope of the writing, performing and producing of the song. One of those ineffable qualities is audio mastering, a process that smooths out the song and optimizes the listening experience on any device. Now, artificial intelligence algorithms are starting to work their way into this undertaking. "Mastering is a bit of a black art," explained Thomas Birtchnell, a researcher at the University of Wollongong in Australia.

The latest adaptation of Nightflyers, a novella and short story collection written by George R. R. Martin in the 1980s, premiered on Syfy last weekend. If you're following the nightly episodes, you'll know how integral the titular spaceship, with its gloomy corridors and breathtaking habitat domes, is to the plot and mood of the show. Syfy and Universal Cable Productions paid Territory Studio, a specialist in on-set motion graphics, to shape the vessel's visual language. The team produced over 1,200 'screens' -- fictional interfaces that actors could see while performing -- across a broad range of sets, including medical labs, cabins and cargo bays. If you love science fiction, there's a good chance you've seen Territory's work before. The company, based in London, New York and San Francisco, has contributed to a number of blockbuster movies including Blade Runner 2049, Avengers: Infinity War, Ex Machina and Ghost in the Shell.

Multi-layer optical film has been found to afford important applications in optical communication, optical absorbers, optical filters, etc. Different algorithms of multi-layer optical film design has been developed, as simplex method, colony algorithm, genetic algorithm. These algorithms rapidly promote the design and manufacture of multi-layer films. However, traditional numerical algorithms of converge to local optimum. This means that the algorithms can not give a global optimal solution to the material researchers. In recent years, due to the rapid development to far artificial intelligence, to optimize optical film structure using AI algorithm has become possible. In this paper, we will introduce a new optical film design algorithm based on the deep Q learning. This model can converge the global optimum of the optical thin film structure, this will greatly improve the design efficiency of multi-layer films.

In the past few years, neural abstractive text summarization with sequence-to-sequence (seq2seq) models have gained a lot of popularity. Many interesting techniques have been proposed to improve the seq2seq models, making them capable of handling different challenges, such as saliency, fluency and human readability, and generate high-quality summaries. Generally speaking, most of these techniques differ in one of these three categories: network structure, parameter inference, and decoding/generation. There are also other concerns, such as efficiency and parallelism for training a model. In this paper, we provide a comprehensive literature and technical survey on different seq2seq models for abstractive text summarization from viewpoint of network structures, training strategies, and summary generation algorithms. Many models were first proposed for language modeling and generation tasks, such as machine translation, and later applied to abstractive text summarization. Therefore, we also provide a brief review of these models. As part of this survey, we also develop an open source library, namely Neural Abstractive Text Summarizer (NATS) toolkit, for the abstractive text summarization. An extensive set of experiments have been conducted on the widely used CNN/Daily Mail dataset to examine the effectiveness of several different neural network components. Finally, we benchmark two models implemented in NATS on two recently released datasets, i.e., Newsroom and Bytecup.

By 2050, 68 percent of the total global population will live in cities, according to the United Nations. By then, the world population will be 9.7 billion and 11.2 billion by 2100. The updated report from the United Nations states that currently, 55 percent of the world's population lives in urban areas. That means around 2.5 billion more people will be living in cities by 2050. India, China, and Nigeria combined will represent 35 percent of the projected urban population growth between 2018 and 2050.

This morning, we have a very important message for you from Tom Cruise and news about the hardware that will be inside many of 2019's most popular phones. It's not a 5G world yet, but we're getting ready, and that might mean adjusting to some very strange notch placements. And a new fingerprint sensor that works from within the display.Qualcomm's Snapdragon 855 chipset will power your next flagship phone It's been clear for a while now that 2019 will be the year of 5G, and it's little surprise that the Snapdragon 855 will support "multi-gigabit" data speeds on 5G networks as they light up around the country. SVP Alex Katouzian also pointed out that the 855 was designed to trounce last-generation chipsets when it comes to AI performance -- we can expect up to three-fold performance gains when it comes to these complex computations. He even detailed a new way to sense fingerprints from inside an all-screen phone: with Qualcomm's new ultrasonic sensor.

David Byrne performs at the New Orleans Jazz and Heritage Festival in April.Amy Harris/Invision/AP Since the late-1970s, when David Byrne formed the iconic (and alas, now-defunct) Talking Heads, his career has been an endless stream of fascinating side projects, starting with his super-weird, super-cool Brian Eno collab, My Life in the Bush of Ghosts, and his scoring of choreographer Twyla Tharp's The Catherine Wheel. He founded his own World Music label, Luaka Bop, and wrote half a dozen books, including the best-selling quasi-memoir How Music Works. His obsession with the National Color Guard Championships led to a documentary called Contemporary Color. Most recently, his American Utopia tour featured dancers and musicians untethered from the standard concert setup by means of wireless and wearable instruments--nary an amp nor drumset in sight. In November, as the tour wrapped up, came the re-release of Byrne's 1986 film, True Stories, which explores the inner lives and outer quirks of residents of a fictional Texas town and is based on stories from tabloid newspapers.

Myra and Gia were godsend. If tourists start booking Shimla holidays to enjoy the snow and traffic outstrips the number of rooms, the duo sends alerts to hotel chains in the region to increase online inventory. They forecast demand, answer customer queries and can even update on flight delays. The duo has been at the travel portal's headquarters in Cyber City, Gurgaon, for just a year but has already moved on to solving more difficult tasks such as managing loyalty programmes. Whether cancellations or refunds from 12,000-15,000 customer interactions every day, about 60% are resolved by the duo and some of their other techsavvy mates.

The Game Awards used to be considered the video game industry's Oscars. Now, the event, in its fifth year and set to be streamed live around the globe Thursday night, is becoming more like the Emmys. That's because games are changing, says the show's creator and executive producer, Geoff Keighley. Just as the Emmys awards seasons of TV shows, "we almost have seasons of games now. With'Fortnite,' even though it came out last year, it's still nominated this year because they keep updating it," Keighley said.

This paper considers extractive summarisation in a comparative setting: given two or more document groups (e.g., separated by publication time), the goal is to select a small number of documents that are representative of each group, and also maximally distinguishable from other groups. We formulate a set of new objective functions for this problem that connect recent literature on document summarisation, interpretable machine learning, and data subset selection. In particular, by casting the problem as a binary classification amongst different groups, we derive objectives based on the notion of maximum mean discrepancy, as well as a simple yet effective gradient-based optimisation strategy. Our new formulation allows scalable evaluations of comparative summarisation as a classification task, both automatically and via crowd-sourcing. To this end, we evaluate comparative summarisation methods on a newly curated collection of controversial news topics over 13 months. We observe that gradient-based optimisation outperforms discrete and baseline approaches in 15 out of 24 different automatic evaluation settings. In crowd-sourced evaluations, summaries from gradient optimisation elicit 7% more accurate classification from human workers than discrete optimisation. Our result contrasts with recent literature on submodular data subset selection that favours discrete optimisation. We posit that our formulation of comparative summarisation will prove useful in a diverse range of use cases such as comparing content sources, authors, related topics, or distinct view points.