He studied English Literature and History at Sussex University before gaining a Masters in Newspaper Journalism from City University. Businesses are often data-rich but information-poor. Machine learning (ML) is changing that. The use of artificial intelligence (AI) to let computers learn independently through algorithms without being explicitly programmed can help companies process vast quantities of complex data to improve analytics, predictive accuracy and decision-making. Machine learning is already being used in everything from fraud detection to self-driving cars, and in sectors from marketing to government.

We know that there is sound on planets and moons in the solar system – places where there's a medium through which sound waves can be transmitted, such as an atmosphere or an ocean. You may have been told definitively that space is silent, maybe by your teacher or through the marketing of the movie Alien – 'In space no one can hear you scream'. The common explanation for this is that space is a vacuum and so there's no medium for sound to travel through. Space is never completely empty – there are a few particles and sound waves floating around.Charged particles in space can generate and be affected by electric and magnetic fields, which gives rise to the plasma-equivalent of sound waves: magnetosonic waves A researcher from Queen Mary University of London explains that space is never completely empty - there are a few particles and sound waves floating around. Sound waves around Earth are vital to our continued technological existence.

Last week was an exciting one with some rumors about Apple's AAPL iPhone manufacturing in the U.S., Cisco's CSCO earnings report, Intel's INTC first AI Day plus lots more. In June this year, Apple requested its iPhone assemblers Pegatron and Foxconn to evaluate the feasibility of making the devices in the U.S. While Pegatron refused outright on cost considerations, Foxconn has decided to do the job. The study is likely to show that the cost increase, skill mismatch and supply chain problems (the supply chain is largely in Asia) would make this cost prohibitive. This would raise iPhone prices for consumers/squeeze Apple's margins.

Facebook has developed a special tool to keep countries from seeing stories criticial of their government. The site has been secretly working on a feature that allows it to geographically censor specific posts from people in the country. It appears to have been done as a way of getting back into China, an important market for the company but one with an intense censorship regime. The apparent tool was revealed at a time when Facebook was facing increased scrutiny of how it picks what appears in news feed. It has received special criticism for the way that it allows fake news to flourish on the service, and many have claimed that it helped Donald Trump win the Presidential election.

You might expect scientists to heap scorn on Hollywood's depiction of aliens, but they're generally forgiving. Dirk Schulze-Makuch, an astrobiologist at the Technical University of Berlin, remarks that most science-fiction aliens are either riffs off the weird life we see in Earth's deep ocean, such as the squid-like creatures of Arrival, or versions of now-extinct animals from earlier in our planet's history, such as the adult trilobite in Prometheus. "If you want to study a lot of different body shapes or forms, look at the Cambrian Explosion," he says. "If you look at a museum exhibit of life from 500 million years ago, you see trilobites and other unique types of life. What irritates him and others isn't what movie aliens look like, but the magical things they do. Leave aside their physics-defying technology and consider just their most basic attributes, such as metabolism. "Prometheus was especially terrible this way," says Caleb Scharf, the director of astrobiology at Columbia University. "[That movie had] the idea that a little thing can grow into an enormous thing when you're not looking, even though there's nothing to eat.

After the US election, many people feel we're on the verge of an apocalypse. What might not be obvious is that it's an artificial intelligence apocalypse, like the ones in The Terminator and The Matrix. The fact is the machines have taken over, enslaved us, and may now destroy us. Here's what an AI apocalypse looks like in broad brushstrokes: Unfortunately, the unintended consequence is the downfall of humanity. The Nieman Foundation for Journalism at Harvard reports that nearly half of all Americans get their news from Facebook.

Twenty-eight years ago the little science fiction show that could, "Mystery Science Theater 3000," premiered on Thanksgiving Day. It all started with one Earthling, series creator Joel Hodgson, and his gang of lovable robot puppets. Together they drifted through space in the "Satellite of Love," warmly lampooning low-budget B-movies with titles like "Teenagers From Outer Space" and "The Leech Woman." It was an odd show whose shoe-string budget and screwball tone often mimicked the very movies it skewered. The misfit humor struck a note with fans and despite multiple series cancellations and resurrections, (including a recasting of Hodgson with Mike Nelson), the series endured for 197 episodes. And now, thanks to a successful Kickstarter campaign, "MST3K" will rise again -- this time on Netflix with Hodgson once again steering the ship and new host Jonah Ray (the Nerdist Podcast).

It's become clear that the algorithms Facebook and Google designed to deliver news to their users have failed. But while fake news is a headache for those tech giants right now, the underlying research question--whether and how machines tell truth from lies on the internet--is one that will persist as long as the world wide web stays an open forum. Facebook and Google's sizable machine learning divisions have created algorithms that effectively surface information that users want to see. But they've been unable to actually understand or vet that info--and in fact, experts across the tech industry say it's unrealistic to expect any AI or machine learning algorithm to do this task well. All our best efforts so far are built on research in natural language processing, which teaches AI to read a piece of text, understand the concepts within, and provide insight about its meaning. "Modern machine learning for natural language processing is able to do things like translate from one language to another, because everything it needs to know is in the sentence its processing," says Ian Goodfellow, a researcher at OpenAI.

Carly Chaikin is best known for playing Darlene Alderson in USA's "Mr. While fans may already know details about the character she portrays, there are a lot of things they may not know about the actress herself. Here are five cool things you may not know about Chaikin. While Chaikin's main interest is acting, she also likes to paint. The actress told Marie Claire that she started painting at the age of 17 and even considered going to art school. She decided not to push through with it, however, because she's "not a school person." Chaikin also said that many people don't believe her at first when she tells them she paints, but they immediately change their mind once they see her works. Some of her pieces can be viewed on Instagram @carlychaikinart. Chaikin loves the musician so much she had some of his song lyrics tattooed on her body. Speaking about the level of her admiration of Dylan, Chaikin told Glamour: "I'm a diehard Dylan fan, and my dad and I joke that if I ever met him, I'd have him sign his name right under my tattoo and then I'd run to the parlor to get his signature tattooed." Chaikin told Architectural Digest that she can whip up a couple of dishes, but she'd much rather do something else than make a meal and clean the dishes after eating. The actress is proud of the fact that she is in tune with things wherever she is. It helps that her spare time is devoted to painting and solving jigsaw puzzles, which both hone focus and attention to detail. She decided that she wants to pursue acting early on in life. Chaikin told Cambio that she knew she wanted to do acting for a living at the age of 11. See more of Chaikin when "Mr. Robot" returns for Season 3 in 2017. Learn five cool things about Carly Chaikin. Robot" arrives at the 68th Primetime Emmy Awards in Los Angeles on Sept. 18, 2016.

In recent years, the best-performing systems in artificial-intelligence research have come courtesy of neural networks, which look for patterns in training data that yield useful predictions or classifications. A neural net might, for instance, be trained to recognize certain objects in digital images or to infer the topics of texts. But neural nets are black boxes. After training, a network may be very good at classifying data, but even its creators will have no idea why. With visual data, it's sometimes possible to automate experiments that determine which visual features a neural net is responding to.