Streaming services have changed the way in which we experience content. While recommendation systems previously focused on presenting you with content you might want to purchase for later consumption, modern streaming platforms have to focus instead on recommending content you can, and will want to, enjoy in the moment. Since any piece of content is immediately accessible, the streaming model enables new methods of discovery in the form of personalized radios or recommendation playlists, in which the focus is now more on generating sequences of similar songs that go well together. With now over 700 million songs streamed every month, Anghami is the leading music streaming platform in the MENA region. What this also means, is that the amount of data generated by all those streams proves to be an invaluable training set that we can use to teach machine learning models to better understand user tastes, and improve our music recommendations.
USA Network has renewed its cult-hit series Mr. Robot for season 4, just as season 3 is about to air its finale episode. Mr. Robot season 3 threw several big twists at viewers, including some shocking character deaths, and a game-changing event in the form of a massive terrorist attack, carried out by Elliot's alter-ego Mr. Robot, Tyrell Wellick, The Dark Army hackers, and Angela. Needless to say, the latter has not been coping well. The season 3 finale will see Elliot striking back against the Dark Army, while The Dark Army has their sights set on Elliot. The fates of side characters like Tyrell, Darlene, and Angela's sanity also hang in the balance.
Researchers at the University of Melbourne are using machine learning to distinguish false information from the truth on social media platform, Twitter. Increasing numbers of people rely on their social media feeds for news. But algorithms on social media platforms prioritise engagement over accuracy, and unscrupulous content creators can easily create and post misleading or even outright false information', motivated by financial, political or other reasons. Professor Stephan Winer and Marie Truelove from the Melbourne School of Engineering have developed a framework to assess whether a tweet is a witness account from a first-hand experience or not, relying on the principle that witness accounts are more trustworthy than hearsay. The framework analyses details of a tweet to determine whether it is a witness account.
The Dangers of Artificial Intelligence - Robot Sophia jokes and makes fun of Elon Musk - A.I. 2017 - 2ndEarth Alternative (22/04/2017) Robots are more advanced than many of us may think. They are fully capable of having real world conversations, and have the mental and cognitive structures to eventually surpass humanity in 3-5 years according to Hansen Robotic chief scientist Ben Goertzel. Elon Musk with his Artificial Intelligence company OpenAI, which studies the potential dangers associated with A.I. has been adamantly warning humanity that Artificial Intelligence poses one of the biggest impending dangers humanity must confront in the coming years. The Russians are also in the A.I. game, and have essentially built a Terminator like war robot termed Fedor. They have a robot that doesn't just accurately shoots targets, but also drives a car, which puts a whole new terms to the concepts of Self driving cars.
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The news is likely to be divisive across a dance music community already locked in terminal (and, often, insufferable) arguments as to what constitutes a real DJ. You only need to Google phrases like'sync button' for evidence. The last version of the programme had already taken major steps towards allowing anyone to mix singles seamlessly, proving popular thanks to support from Spotify and the way it uses the new MacBook Pro Touch Bar, one of the biggest changes in the Apple laptop portfolio for some time. This new update can now scan tracks to find the perfect intro and outro based on what's already playing, advising on ideal fade timings while filtering and EQing to suit, and can even search your library to make recommendations as to what will sound best next. The news comes not long after we wrote about the world's first machine learning producer arriving, SKYGGE, two months after Saudi Arabia gave a'female' robot citizenship (despite the fact women in the country can't vote) and Burning Man revealed its theme for next year's festival will be Artificial Intelligence, and in the wake of Facebook pulling the plug on developing computers that can write their own code after a language was created that nobody, aside from the machines, could understand.
Researchers have identified an incredibly smart method used by fruit flies to categorise odours – and it's so clever it could be applied to powering recommendation algorithms for the likes of Netflix or Spotify. In the same way that YouTube might want to flag up videos similar to the one you've just watched, fruit flies – like many other animals – need to know which smells are similar, for finding food and avoiding poisonous substances. The team from the University of California San Diego (UCSD) and the Salk Institute for Biological Studies in California has found that fruit flies have an especially clever way of categorising odours which lets them recognise differences with a very fine level of accuracy. "In the natural world, you're not going to encounter exactly the same odour every time; there's going to be some noise and fluctuation," says one of the researchers, Saket Navlakha from Salk. "But if you smell something that you've previously associated with a behaviour, you need to be able to identify that similarity and recall that behaviour."
"The Computer Society's predictions, based on a deep-dive analysis by a team of leading technology experts, identify top-trending technologies that hold extensive disruptive potential for 2018," said Jean-Luc Gaudiot, IEEE Computer Society President. "The vast computing community depends on the Computer Society as the provider for relevant technology news and information, and our predictions directly align with our commitment to keeping our community well-informed and prepared for the changing technological landscape of the future." Dejan Milojicic, Hewlett Packard Enterprise Distinguished Technologist and IEEE Computer Society past president, said, "The following year we will witness some of the most intriguing dilemmas in the future of technology. Will deep learning and AI indeed expand deployment domains or remain within the realms of neural networks? Will cryptocurrency technologies keep their extraordinary evolution or experience a bubble burst?