Researchers from the US have developed an artificial intelligence (AI) system that surfs the internet, extracts information from the available plain text and organizes it for quantitative analysis in very less time. Recently at the Association for Computational Linguistics' Conference on Empirical Methods on Natural Language Processing, researchers from the Massachusetts Institute of Technology (MIT) Computer Science and Artificial Intelligence Laboratory won a best-paper award for a new approach to information extraction that turns conventional machine learning on its head. Most machine-learning systems work by combing through training examples and looking for patterns that correspond to classifications provided by human annotators. In their new paper, the MIT researchers trained their system on scanty data -- because in the scenario they're investigating, that's usually all that's available. But then they find the limited information an easy problem to solve.

Other bigger lists (sometimes created by robots) can be found here and are usually based on your Klout score, which in my opinion is not accurate. The list below is truly original and I would even add, somewhat unexpected, as you won't find Bernard Marr, Kirk Borne and other well known gurus. Just in case you're wondering, @FILWD stands for Fell In Love With Data, which happens to be the name of Enrico Bertini's blog. While the Assistant Professor at NYU doesn't talk much on Twitter himself, he uses the platform very effectively to share news and insights about data visualizations and adds his highly-valued opinions. Like Rob Thomas, Enrico's a great follow if you want a well-balanced stream of data-speak and general life observations.

One of the big trends we've seen over the last five years is automation. At the same time, we're also seeing more intelligence built into tools we already have, like phones and computers. Where do you see this process in five years? In the future, I believe that there will be a co-existence between humans and artificial intelligence systems that will be hopefully of service to humanity. These AI systems will involve software systems that handle the digital world, and also systems that move around in physical space, like drones, and robots, and autonomous cars, and also systems that process the physical space, like the Internet of Things. You will have more intelligent systems in the physical world, too -- not just on your cell phone or computer, but physically present around us, processing and sensing information about the physical world and helping us with decisions that include knowing a lot about features of the physical world.

Nataliia Dmytriievska was 15 years old and enveloped by flames when she first heard the call of outer space. A year earlier her boyfriend had taught her the basics of poi, a Maori dance in which performers swing flaming, tethered weights to describe bright geometric shapes in the dark. Despite the burns and bruises she earned, Dmytriievska was a determined pupil. She would practice for hours each day, drawing flowers and other outlines around her body using dummy weights, before attempting the same perilous tricks using fire. Although money was never the primary motivation – "I simply love the fire; there is something magical when you feel like it's in your control," she said – after a few years Dmytriievska turned semi-professional. She joined a circus troupe in her home city of Kiev, Ukraine to help support her university studies. In June 2007, the troupe began rehearsals for an interpretation of Edgar Allan Poe's poem, The Raven. As the backing music sounded out for the first time – a pipe organ, played rhythmically, as if calling people to worship, soon joined by galloping guitars and a furious drumbeat – Dmytriievska took to the stage. But her mind was not on the performance. As soon as she finished the routine she left the stage, walked up to her friend on the mixing desk and asked: "Where is that music from?" Eve Online: how a virtual world went to the edge of apocalypse and back. The track, he said, came from Eve Online, a science-fiction video game. It is, he explained, a game set in a vast galaxy comprised of tens of thousands of stars and planets, and inhabited by half a million or so people from around the world, who explore and do battle together daily via the internet.

One of the big trends we've seen over the last five years is automation. At the same time, we're also seeing more intelligence built into tools we already have, like phones and computers. Where do you see this process in five years? In the future, I believe that there will be a co-existence between humans and artificial intelligence systems that will be hopefully of service to humanity. These AI systems will involve software systems that handle the digital world, and also systems that move around in physical space, like drones, and robots, and autonomous cars, and also systems that process the physical space, like the Internet of Things. You will have more intelligent systems in the physical world, too -- not just on your cell phone or computer, but physically present around us, processing and sensing information about the physical world and helping us with decisions that include knowing a lot about features of the physical world.

Humans will NOT survive another 1,000 years on Earth, says Stephen Hawking: Physicist warns we must'escape beyond our fragile planet' Professor Hawking was giving a talk at the Oxford University Union He urged the audience to take an interest in space travel He said: 'we must also continue to go into space for the future of humanity' He said: 'we must also continue to go into space for the future of humanity' Humans will not survive another 1,000 years on'fragile' Earth, according to Professor Stephen Hawking. Silicon Valley issues plea to Donald Trump to support strong... Mysterious'megafast electrons' are accelerated to the speed... Intelligent aliens are most likely to be MACHINES,... The AI that could tell you how long your flight is REALLY... Silicon Valley issues plea to Donald Trump to support strong... Mysterious'megafast electrons' are accelerated to the speed... Intelligent aliens are most likely to be MACHINES,... The AI that could tell you how long your flight is REALLY... Professor Hawking said: 'I don't think we will survive another 1,000 years without escaping our fragile planet' Professor Hawking explained in his talk, titled'The Origin of the Universe', how he was currently working to prove how the origin of the universe did obey the laws of physics as was understood what modern physicists called M-theory (stock image) Mob storm police station and lynch suspected paedophile SNL mocks confident Clinton supporters with Dave Chappelle Chili's manager snatches veteran's free meal after complaint Dashcam footage captures moment van swerves before crashing Got any oink-tment?: Excited piglets take a warm bath Man discovers wife is cheating on him following her with drone Obama on Trump: This office has a way of waking you up Emotional Chelsea Handler fights back tears over election results Pres. Obama: Reflection'healthy' for Democratic party Obama's dig at Clinton over her ground game failures Is this the creepy moment the corpse of a girl OPENS her eyes?

How do you feel about conversations with bots so far? Are they engaging, disappointing or interesting? For bot makers, there are lots of challenges in crafting more engaging bots. Challenge 1: Getting inspiration for how to build your bot based on how others built theirs. You can't just search for bots based on the meta details in conversations, because there isn't such a database.

Of the vast wealth of information unlocked by the Internet, most is plain text. The data necessary to answer myriad questions--about, say, the correlations between the industrial use of certain chemicals and incidents of disease, or between patterns of news coverage and voter-poll results--may all be online. But extracting it from plain text and organizing it for quantitative analysis may be prohibitively time consuming. Information extraction--or automatically classifying data items stored as plain text--is thus a major topic of artificial-intelligence research. Last week, at the Association for Computational Linguistics' Conference on Empirical Methods on Natural Language Processing, researchers from MIT's Computer Science and Artificial Intelligence Laboratory won a best-paper award for a new approach to information extraction that turns conventional machine learning on its head.

Researchers from the US have developed an artificial intelligence (AI) system that surfs the internet, extracts information from the available plain text and organises it for quantitative analysis in very less time. Recently at the Association for Computational Linguistics' Conference on Empirical Methods on Natural Language Processing, researchers from the Massachusetts Institute of Technology (MIT) Computer Science and Artificial Intelligence Laboratory won a best-paper award for a new approach to information extraction that turns conventional machine learning on its head. Most machine-learning systems work by combing through training examples and looking for patterns that correspond to classifications provided by human annotators. In their new paper, the MIT researchers trained their system on scanty data -- because in the scenario they're investigating, that's usually all that's available. But then they find the limited information an easy problem to solve.

An Australian man acquitted of killing a woman on a Tinder date has been asked if he is "heartless" in a controversial TV interview. New Zealand woman Warriena Wright fell to her death from Gable Tostee's balcony on Queensland's Gold Coast in 2014. Last month, Mr Tostee was found not guilty of murder or manslaughter. Australia's 60 Minutes programme paid him A$150,000 (£90,000, $115,000) for Sunday's interview, local media said. Mr Tostee and Ms Wright had met through the dating app Tinder.