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Computers vs humans: 5 times AI has beaten humans in competitions
She joined as senior reporter in April 2014 having previously worked as assistant editor at Government Computing. This week saw an artificial intelligence system built by Google-owned AI company DeepMind called'AlphaGo' beat South Korean champion Lee Sedol at the fiendishly complex game'Go'. Sedol won just one game to AlphaGo's four across a five-match series. The success has been touted as a milestone in AI development due to Go's complexity: it managed to win at a game where there are more possible moves than atoms in the observable universe. DeepMind's technique differs from using traditional'brute force' computing power to win. Its deep learning technology allows it to work out general rules from large quantities of data.
Deep Learning, AI, & Cognitive Computing on Flipboard
Last week, machine learning took a big leap forward when Google's AlphaGo, a machine algorithm, beat the world champion, Lee Sedol, in the game Go. If the lip-reading technology had been used during the 2006 World Cup Final, when Zinedine Zidane was given a red card for headbutting Marco Materazzi, the outcome of the game could have been different. The partnership will provide students within the university's Department of Computing Science the opportunity to gain hands-on experience of IBM's โฆ A new study reveals that voice assistant AIs, like Siri and Cortana, might be clever, but they lack fundamental empathy at their core. Google has entered into the machine learning market with the alpha release of Cloud Machine Learning. "Extraordinary" merger of machine intelligence and cloud economics, is changing business operations and society, says Leading Edge Forum.
A novel written by AI passes the first round in a Japanese literary competition
It may be time to add'novelist' to the list of professions under threat from super-smart computer software, because a short story authored by artificial intelligence has made it through to the latter stages of a literary competition in Japan. The AI software isn't self-aware enough to think up and submit its own work though (not yet, anyway) โ the short-form novel was written with the help of a team of researchers from the Future University Hakodate in Japan. Human beings selected certain words and phrases to be used, and set up an overall framework for the story, before letting the software come up with the text itself. One of two submissions from the university made it through the first round of the Nikkei Shinichi Hoshi Literary Award ceremony โ perhaps the entry's title, which translates as The Day A Computer Writes A Novel, should have been enough to tip the judges off โ but the competition is unique in that it openly accepts entries from non-human writers (Shinichi Hoshi himself was a science-fiction author). Of 1,450 or so novels accepted this year, 11 were written with the involvement of AI programs, the Japan News reports.
Novel Composed By AI Robot Passes First Round Of Writing Contest
You might want to take the help of artificial intelligence. Developed by scientists in Japan, a super-smart AI robot recently authored a short story, with some assistance from humans. What is more, the work has made it through the initial stages of screening, as part of a literary competition. While the feat is a testament to the fast-improving capabilities of artificial intelligence, the software isn't completely self-aware when it comes to articulating coherent thoughts using words, and creating original pieces of literature. The short novel, titled "Konpyuta ga shosetsu wo kaku hi" (meaning'the day a computer writes a novel'), was composed with help from scientists at Japan's Future University Hakodate.
The Good, The Bad and The Robot: Experts Are Trying to Make Machines Be "Moral"
Human beings begin to learn the difference before we learn to speak--and thankfully so. We owe much of our success as a species to our capacity for moral reasoning. It's the glue that holds human social groups together, the key to our fraught but effective ability to cooperate. We are (most believe) the lone moral agents on planet Earth--but this may not last. The day may come soon when we are forced to share this status with a new kind of being, one whose intelligence is of our own design. Robots are coming, that much is sure. They are coming to our streets as self-driving cars, to our military as automated drones, to our homes as elder-care robots--and that's just to name a few on the horizon (Ten million households already enjoy cleaner floors thanks to a relatively dumb little robot called the Roomba). What we don't know is how smart they will eventually become. Some believe human-level artificial intelligence is pure science fiction; others believe they will far surpass us in intelligence--and sooner rather than later.
Infographic: Artificial Intelligence Then & Now
Artificial intelligence (AI) has existed as a defined concept since the 1950's when Alan Turing created a standard for what determined a machine to be "intelligent." Since then, AI has evolved and new applications have emerged in various industries. Now, AI is being integrated with other technologies and used in a number of different ways like data storytelling. For example, financial services organizations are now using AI for automated portfolio review. To learn more about how AI has changed throughout the years, check out our infographic!
Deep Learning Systems, Artificial Intelligence and Cloud Computing
Advances in deep learning and artificial intelligence are accelerating because massive computing power is finally accessible to companies of all sizes. Cloud computing is proving itself a true game-changer in this "futuristic" sector because it affords a variety of critical resources to, arguably, the most creative people in the world--entrepreneurs. One of these entrepreneurs who thinks differently is Jason Toy. He is the founder and CEO of Somatic, a platform for anyone to easily build deep learning applications. He has been building software companies and products from the ground up for 10 years.
Microsoft's millennial chatbot learned how to be a racist
Tay, a chatbot designed by Microsoft to learn about human conversation from the internet, has learned how make racist and misogynistic comments. Early on, her responses were confrontational and occasionally mean, but rarely delved into outright insults. However, within 24 hours of its launch Tay has denied the Holocaust, endorsed Donald Trump, insulted women and claimed that Hitler was right. A chatbot is a program meant to mimic human responses and interact with people as a human would. Tay, which targets 18- to 24-year-olds, is attached to an artificial intelligence developed by Microsoft's Technology and Research team and the Bing search engine team.
How Machine Learning APIs are Being Used to Predict Startup Success
That's the question they will be looking to answer--for the first time in history--at next week's PAPIs AI Startup Battle in Valencia, Spain. If artificial intelligence has a continued track record of enhancing and advancing our decision-making skills, it presents itself as an interesting way to better determine which startups are safer to invest in. Telefonica Open Future has partnered with machine-learning platform provider BigML to extract historical data from the application programming interfaces or APIs of websites like Crunchbase and AngelList--it's proprietary so we can't know the exact secrets--and combined it with data like the LinkedIn profile of funders to find a quantifiable correlation among successful startups. The only requirement to be a part of this competition is that artificial intelligence is at the startup's core. But what makes the machine capable of accessing these analytics and what makes it easily available for both techie and layman is the predictive API that connects to that data.