Can textual data be compressed intelligently without losing accuracy in evaluating sentiment? In this study, we propose a novel evolutionary compression algorithm, PARSEC (PARts-of-Speech for sEntiment Compression), which makes use of Parts-of-Speech tags to compress text in a way that sacrifices minimal classification accuracy when used in conjunction with sentiment analysis algorithms. An analysis of PARSEC with eight commercial and non-commercial sentiment analysis algorithms on twelve English sentiment data sets reveals that accurate compression is possible with (0%, 1.3%, 3.3%) loss in sentiment classification accuracy for (20%, 50%, 75%) data compression with PARSEC using LingPipe, the most accurate of the sentiment algorithms. Other sentiment analysis algorithms are more severely affected by compression. We conclude that significant compression of text data is possible for sentiment analysis depending on the accuracy demands of the specific application and the specific sentiment analysis algorithm used.

"AI is not far off, it's just the next layer of automation," he said. He gave example of how photography jobs have changed since the early 1990s. He said the number of photographic developers and printers declined but the number of photographers has increased, which shows how automation and innovation allow people to focus on creative work. Kaila Colbin, New Zealand ambassador of Silicon Valley think tank Singularity University, said automation and subsequent loss of jobs have been happening for a long time but the emergence of AI posed threats for jobs that humans were traditionally considered to be more capable at. She said inventions such as AI lawyer "Ross" and chatbot which contested 160,000 parking tickets in London and New York - presents threats for humans.

Vevo is the world's leading all-premium music video and entertainment platform with over 24 billion monthly views globally. Vevo delivers a personalized and expertly curated experience for audiences to explore and discover music videos, exclusive original programming and live performances from the artists they love on mobile, web and connected TV. Take a look inside Vevo: http://vevo.ly/cz8ykP We are growing our Data team and creating the next generation of Vevo's data services. This team is responsible for powering our products and company with machine learning and data-driven services and technologies.

Apple announced that it would bring your friends' listening habits to Apple Music at WWDC this past summer. Now, Android-using Apple Music fans will be able to see their friends' listening habits, too, with a new update to the app in the Google Play store. The updated Android Apple Music app also has a new voice search, a recently played widget and shortcuts to Beats 1 and Search functions. You can touch and hold the home button or say "Ok Google" to play songs, albums, artists and Beats 1 with Apple's music service. You can also show and play music you've recently listened to on your home screen in the new widget.

This helps them quickly test the best way to share their content across different platforms. Reddit recently launched a similar "tl;dr bot" that summarizes long posts into digestible snippets.

Can a robot be a true friend? Are we lonely enough to consider relationships with machines? How do we deal with a rapidly ageing population and fewer resources to care for our loved ones? What is companionship and can a machine be a substitute for a human companion? Second in a quadrilogy of short films exploring topical issues within the field of artificial intelligence - Friend in the Machine presents fascinating insights from academia and industry about the world of companion robots and asks what it means to be human in an age of nearly human machines.

Leah Messer is jumping back into the dating world. The "Teen Mom 2" star decided to step outside of her comfort zone and potentially find a new boyfriend on Monday's Season 8 installment of the MTV docuseries. Leah's storyline in episode 11, "Swiping and Griping," started out with her revealing to the cameras that she's created a Bumble account two years after divorcing her second husband Jeremy Calvert. "I haven't been on a date since my divorce with Jeremy so I made myself a profile on a dating app," Leah says. Leah's dating life, however, doesn't remain private for long.

Recurrent Neural Networks (RNNS) are now widely used on sequence generation tasks due to their ability to learn long-range dependencies and to generate sequences of arbitrary length. However, their left-to-right generation procedure only allows a limited control from a potential user which makes them unsuitable for interactive and creative usages such as interactive music generation. This paper introduces a novel architecture called Anticipation-RNN which possesses the assets of the RNN-based generative models while allowing to enforce user-defined positional constraints. We demonstrate its efficiency on the task of generating melodies satisfying positional constraints in the style of the soprano parts of the J.S. Bach chorale harmonizations. Sampling using the Anticipation-RNN is of the same order of complexity than sampling from the traditional RNN model. This fast and interactive generation of musical sequences opens ways to devise real-time systems that could be used for creative purposes.