Binghamton researchers trained an AI to use everything from previous flight times to weather forecasts to say exactly how long passengers will be stuck. HOW WELL DOES IT WORK? Will YOU see the supermoon tonight? The curse of the competitive male: Being flashy helps wins... Have dead POLAR BEARS washed up in Scotland? Will YOU see the supermoon tonight?

Megasus Horesrunners are made from plastic and clip on to a horse's shoe The makers claim the design reduces shock and vibration on the hooves They also help to increase stability for horses walking on uneven terrain A set of four clip on shoes can be ordered for £175 ($218) Megasus Horesrunners are made from plastic and clip on to a horse's shoe Sex with robots will be'mind blowing': Expert says androids... World's tallest tropical tree is found in Borneo - and it's... Fossil fuel emissions have stalled: CO2 levels remain flat... Soaring hospital admissions, mass insomnia, pets going wild... Sex with robots will be'mind blowing': Expert says androids... World's tallest tropical tree is found in Borneo - and it's... Fossil fuel emissions have stalled: CO2 levels remain flat... Soaring hospital admissions, mass insomnia, pets going wild... Austrian inventors and animal lovers Louisa and Charly Forstner came up with the novel product after years of fitting steel shoes to their horses' hooves while out for a ride Unlike steel shoes they move with the horse's hoof - and can be removed quickly to allow horses to strengthen their tendons and ligaments The makers claim the plastic design reduces shock and vibration on the animals' hooves (pictured left) as well as increasing stability on uneven terrain (picture right) Unlike steel shoes the Horserunners move with the animal's hoof and can be removed quickly to allow horses to strengthen their tendons and ligaments SNL mocks confident Clinton supporters with Dave Chappelle Dashcam footage captures moment van swerves before crashing Havelock resident shocked as he films earthquake hitting NZ Adorable boxer dog jumps far better than the John Lewis dog Trump supporter spews ignorant racist rant at young woman Moment of impact as earthquake rattles home in Wellington Clinton makes final appearance at campaign headquarters The moment 7.8 magnitude earthquake hits New Zealand Malcolm Turnbull accuses Lisa Wilkinson of'interrogating' him Chili's manager snatches veteran's free meal after complaint Amazing baby Ibex cling to wall for safety as a fox waits nearby The moment 7.8 magnitude earthquake hits New Zealand Malcolm Turnbull accuses Lisa Wilkinson of'interrogating' him Trump says he will'immediately' deport two to three million... 'Don't be afraid': Trump looks to reassure divided America... 'What the f**? The views expressed in the contents above are those of our users and do not necessarily reflect the views of MailOnline. By posting your comment you agree to our house rules.

A good night's sleep really DOES pay off: One extra hour in bed a week could increase your annual salary by 5% It appears that a lack of sleep could be more costly than ever realised. Adult FriendFinder is HACKED: Love rats¿ dirty secrets may... Sex with robots will be'mind blowing': Expert says androids... Move over Spotify: Google Play Music now knows what you want... Bathroom breakthrough as researchers reveal'splash free'... Adult FriendFinder is HACKED: Love rats¿ dirty secrets may... Sex with robots will be'mind blowing': Expert says androids... Move over Spotify: Google Play Music now knows what you want... Bathroom breakthrough as researchers reveal'splash free'... The researchers focused on time zones where sunset times vary from east to west. Because there shouldn't be differences between workers across the time zone, other than the amount of time they sleep, researchers used this variation to estimate how much sleep affects wages SNL mocks confident Clinton supporters with Dave Chappelle Dashcam footage captures moment van swerves before crashing Havelock resident shocked as he films earthquake hitting NZ Adorable boxer dog jumps far better than the John Lewis dog Trump supporter spews ignorant racist rant at young woman Moment of impact as earthquake rattles home in Wellington Clinton makes final appearance at campaign headquarters The moment 7.8 magnitude earthquake hits New Zealand Malcolm Turnbull accuses Lisa Wilkinson of'interrogating' him Chili's manager snatches veteran's free meal after complaint Amazing baby Ibex cling to wall for safety as a fox waits nearby The moment 7.8 magnitude earthquake hits New Zealand Malcolm Turnbull accuses Lisa Wilkinson of'interrogating' him Trump says he will'immediately' deport two to three million... 'Don't be afraid': Trump looks to reassure divided America... 'What the f**? The views expressed in the contents above are those of our users and do not necessarily reflect the views of MailOnline.

The day before the election, as millions of Americans were feeling confident that the vast majority of the country shared their opinions, a pair of researchers at the University of Southern California Information Sciences Institute published a paper that looked closely at something many of us ignored: the provenance of political tweets. Where do they come from? How many are, in reality, made by humans? And if not, who is designing these crude straw-bots? Analyzing Twitter during three televised debates, they discovered that 20% of all political tweets were made by bots.

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Last week, over 50,000 people from 166 countries made their way to Web Summit in Lisbon, Portugal. With 21 stages dedicated to different topics and sectors, there was never a lack of choice; however, despite the huge variety of talks, several themes repeatedly emerged. At Web Summit, the narrative was less around what is currently possible and more around managing our expectations for the near future. Yes, artificial intelligence has huge possibilities, but we are still decades from having an emotional AI, said Gary Marcus, CEO at Geometric Intelligence, during the Future of the Worker panel. Rana el Kallouby, CEO of Affectiva, echoed Marcus' sentiment and reminded us to think of the inputs as we build AI solutions.

Doing machine learning on distributed data sets is methodologically similar to working with data that fits in-memory--train your algorithm on a subset of the data, validate on another subset, and finally test with a different subset. In this post, we'll discuss how to pull data from BigQuery (the no-ops data warehouse that is part of Google Cloud Platform) into machine-learning-ready data sets. We'll use Airline Ontime Performance data, a 70 million row data set from the U.S. Bureau of Transportation statistics, that is available to all users in BigQuery as the airline_ontime_data.flights data set. The RAND() function returns a value between 0–1, so approximately 80% of the rows in the data set will be selected by this query. You want to create three data sets: training, validation, and testing, and while you got 80% of the data above, it is not nearly as easy to get the 20% that were not selected, let alone split that data into two parts. The RAND() function returns different things each time it is run, so if you run the query again, you will get a different 80% of rows.

Some scientists, such as Stephen Hawking and Stuart Russell, believe that if advanced AI someday gains the ability to re-design itself at an ever-increasing rate, an unstoppable "intelligence explosion" could lead to human extinction (Technological Singularity). There is no doubt that the studies and research on Artificial Intelligence, if only targeted to commercial profit, military power and technological speculation paradigms, represent today one of the greatest existential threat to humanity. There are many laboratories in the world developing technologies associated with AI, but only some of them make their progress known. But from the signals – albeit fragmented – we get, it is extremely easy to understand an exposure to significant risks, even if masked by the opaque veil of "modernity". In order to clarify and avoid generalizations: simple positive implementations of AI are already part of our everyday since long time. Every time we turn on a last generation washing machine, or browse on Google or Facebook, complex adaptive algorithms guide us and facilitate the task, learning our behavior or our needs.

Report discusses "special responsibilities for government which follow from its use of artificial intelligence and big data" A report by the Government Office for Science has warned that making the most of artificial intelligence, including in the public sector, will require the government to pay strong attention to ethics and governance. The report, Artificial intelligence: opportunities and implications for the future of decision making by government chief scientific advisor, Sir Mark Walport and Home Office permanent secretary Mark Sedwill, says it is important that the government actively works to bring this about. "Reaping the benefits of this revolution in information technology will require an approach to ethics and governance that enables innovation, builds trust among citizens, establishes a stable environment for businesses and investors, and fosters appropriate access to the data necessary for computer science to develop this technology still further," the report said. "The right form of governance for artificial intelligence, and indeed for the use of digital data more widely, is not self-evident. It is important to consider forms of data governance that cover all elements of the increasingly complex space, from responsibly generating data from people's behaviour to remaining accountable for autonomous software agents. Additionally, any approach adopted must be flexible, able to adapt to new uses and more advanced forms of artificial intelligence. There are many models that can be considered. But the important task is to set out what needs to be done before considering how it is to be achieved."

Such sentiment analysis, however, comes with a heavy workload and also requires mathematical models. "There are three ways to make improved predictions – a better model, better data, and more data," says Jeremy Perlman, VP Europe for Trifacta, which helps RBS, Santander and PepsiCo analyse data. "The problem is that data created on social media and the web is expanding at a ridiculous rate, so machine learning will be critical to making better predictions at massive scale." Since computing power is increasingly exponential with the birth of super-computing in the cloud, the need to analyse more and more data shouldn't be a major hurdle. "Computational devices can very effectively, with high precision and rapidly, gather millions of tweets, posts or similar and run sentiment analysis – to understand likes and dislikes," says Jepson.