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    1. Secret Hpe Ai chip, TensorFlow updates, neural networks writing themselves – and more

      Secret Hpe Ai chip, TensorFlow updates, neural networks writing themselves – and more

      Secret HPE AI chip, TensorFlow updates, neural networks writing themselves – and more Your weekend dose of machine-learning updates By Katyanna Quach 11 Nov 2017 at 01:37 SHARE ▼ Roundup It's been an interesting fortnight, sorry, two weeks in AI. In addition to what we've already reported , we have news about HPE developing what looks like a neural network accelerator chip, TensorFlow updates, Google's effort to teach software to make software, and other bits and pieces.

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    2. Boffins: We can identify you by your typing, and we're gonna sell the tech to biz, govt – yay!

      Boffins: We can identify you by your typing, and we're gonna sell the tech to biz, govt – yay!

      SHARE ▼ Concerned that browser cookies fall short when it comes to tracking mobile devices and their owners on the internet, computer-science boffins believe they can recognize phone-toters using only their keystrokes and accelerometer data. In a paper presented this week through ArXiv, " Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning ," researchers from University of Illinois at Chicago, University of Nebraska–Lincoln, and Hong Kong Polytechnic University describe a technique for identifying mobile device users based on behavioral biometric patterns. These patterns can be derived from typing captured through a custom keyboard, a web browser, or a ...

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    3. A picture tells a 1,000 words. Here's about 750 on Facebook using pics to school AI translators

      A picture tells a 1,000 words. Here's about 750 on Facebook using pics to school AI translators

      A picture tells a 1,000 words. Here's about 750 on Facebook using pics to school AI translators Not a great way, but an interesting way, to teach bots By Katyanna Quach 27 Oct 2017 at 23:27 SHARE ▼ Computers are getting pretty good at translating the world's languages. However, as they say, onwards and upwards. Eggheads are now trying to teach machines to do the job in a more human-like way.

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    4. Dismayed by woeful AI chatbots, boffins hired real people went back to square one

      Dismayed by woeful AI chatbots, boffins hired real people went back to square one

      Dismayed by woeful AI chatbots, boffins hired real people – and went back to square one Amazon Turk serfs have their own problems SHARE ▼ Analysis Convinced that intelligent conversational assistants like Amazon Alexa, Microsoft Cortana, and Apple Siri are neither particularly intelligent nor capable of sophisticated conversation, computer boffins last year began testing a crowd-powered assistant embodied by Amazon Mechanical Turk workers.

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    5. Si vous comprenez ces mots, vous êtes français ou l'intelligence artificielle de Facebook

      Si vous comprenez ces mots, vous êtes français ou l'intelligence artificielle de Facebook

      Facebook’s language translation is now finally powered by several large neural networks. The social media giant announced on Thursday it has switched to using neural networks for translating people's posts and status updates. It’s not the first outfit to make this kind of jump – Google and Microsoft upgraded their translation services to neural networks back in November, for example.

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    6. What sort of silicon brain do you need for artificial intelligence?

      What sort of silicon brain do you need for artificial intelligence?

      The Raspberry Pi is one of the most exciting developments in hobbyist computing today. Across the world, people are using it to automate beer making, open up the world of robotics and revolutionise STEM education in a world overrun by film students. These are all laudable pursuits. Meanwhile, what is Microsoft doing with it? Creating squirrel-hunting water robots.

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    7. The hidden horse power driving Machine Learning models

      The hidden horse power driving Machine Learning models

      The hidden horse power driving Machine Learning models When owning tin is a cheap(er) alternative to expensive cloud By Andrew Cobley 17 Jul 2017 at 09:05 SHARE ▼ Machine Learning is becoming the only real available method to perform many modern computational tasks in near real time. Machine Vision, speech recognition and natural language processing have all proved difficult to crack with out ML techniques.

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    8. Google blows $800k on bots to flood the UK with 30,000 'articles' a month

      Google blows $800k on bots to flood the UK with 30,000 'articles' a month

      Google has today awarded €706,000 ($800,000) to the UK’s Press Association to develop robot reporters that can crank out 30,000 articles a month for local newspapers and bloggers. The cash injection is part of the advertising goliath's €150m Digital News Initiative, a three-year program that allegedly supports European journalism through technology (or, rather, helps websites get more readers and thus shift more Google ads).

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    9. Fuji Xerox's chairman resigns over 'improper accounting'

      Fuji Xerox's chairman resigns over 'improper accounting'

      FujiXerox has apologised for what it calls “improper accounting” that saw its Australian and New Zealand operations book sales earlier than was usual, resulting in inflated sales figures. The company's apology says, after machine translation, that an independent committee has examined the books of the two subsidiaries and settled their accounts correctly. The result is a ¥37.5 billion (US$341m) adjustment to six years' net profits. The probe found that local management encouraged the practice.

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    10. Like a celeb going bonkers with botox, Google injects 'AI' into anything it can

      Like a celeb going bonkers with botox, Google injects 'AI' into anything it can

      Google I/O On Wednesday, Google kicked off its annual developer conference and media spectacle, Google I/O, at the Shoreline Amphitheater, a stone's throw from its Mountain View, California, headquarters. CEO Sundar Pichai reviewed the requisite user milestones, noting that there are now two billion active Android devices. Then he revisited his long-running oratory about the wonders of artificial intelligence.

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    11. Bot you see is what you get: The cold reality of Microsoft's chat 'AI'

      Bot you see is what you get: The cold reality of Microsoft's chat 'AI'

      Build Microsoft's Bot Framework received a minor feature injection at the Windows giant's Build 2017 developer conference , with the addition of Adaptive Cards for cross-platform rich media and support for new channels and the company's payment API. Harry Shum, executive vice president of Microsoft's Artificial Intelligence and Research group, made a point of mentioning the 130,000 developers who have registered to use the Bot Framework .

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    12. Microsoft is on the edge: Windows, Office? Naah. Let's talk about cloud, AI

      Microsoft is on the edge: Windows, Office? Naah. Let's talk about cloud, AI

      Build At the Build 2017 developer conference today, Microsoft CEO Satya Nadella marked a Windows milestone – 500 million monthly active users – and proceeded to say very little about Windows or Office. Instead he, along with Scott Guthrie, EVP of the Microsoft Cloud and Enterprise Group, and Harry Shum, EVP of Microsoft's Artificial Intelligence and Research group, spent most of their time on stage, in Seattle, talking about Azure cloud services, databases, and cross-platform development tools.

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    13. CompSci boffins find Reddit is ideal source for sarcasm database

      CompSci boffins find Reddit is ideal source for sarcasm database

      Over here at El Reg , we think that chatbots are, like, the best thing ever. Not. But would they be any better if they could detect sarcasm and retaliate with their own snide remarks? A group of computer scientists from Princeton University, USA, certainly think so. Mikhail Khodak, Nikunj Saunshi and Kiran Vodrahalli, all graduate students, have pooled together “a large self-annotated corpus for sarcasm” by trawling through Reddit.

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    14. Please don't call them Facebook chatbots, says Facebook's bot boss

      Please don't call them Facebook chatbots, says Facebook's bot boss

      F8 2017 Facebook all but admitted the failure of chatbots last month – with the announcement that developers building Messenger bot can hide text input boxes and offer menu-driven conversations instead. Chatbots were billed by some as the new user interface for apps: rather than tap on icons and swipe through screens, you tell the software what you want, and it reacts accordingly.

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      Mentions: Canada Rogers El Reg
    15. Good job, everyone. We're making AI just as tediously racist and sexist as ourselves

      Good job, everyone. We're making AI just as tediously racist and sexist as ourselves

      Artificial intelligence can inherit the same racial and gender biases as humans do when learning language, according to a paper published in Science. AI and machine learning are hot topics. Algorithms are becoming more advanced, providing us with better internet searching and recommendations to potentially help us diagnose diseases or drive cars . There are advantages to relying on them – they don’t get tired and can power through the more mundane tasks that we find boring.

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    16. Don't fall for the AI hype: Here are the ingredients you need to build an actual useful thing

      Don't fall for the AI hype: Here are the ingredients you need to build an actual useful thing

      Artificial intelligence these days is sold as if it were a magic trick. Data is fed into a neural net – or black box – as a stream of jumbled numbers, and voilà! It comes out the other side completely transformed, like a rabbit pulled from a hat. That's possible in a lab, or even on a personal dev machine, with carefully cleaned and tuned data.

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    17. What 2017 holds for AI: Will you fear or embrace our machine overlords?

      What 2017 holds for AI: Will you fear or embrace our machine overlords?

      From voice translation to self-driving automobile, AI's impact in everyday life will become more and more apparent this year. The AI and deep learning market will experience even more rapid technological advancement, very rapid growth and adoption, and increasing competition for both hardware and software platforms. While AI fears will remain, the public will become more cognisant and comfortable with social media AI applications.

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    18. From drugs to galaxy hunting, AI is elbowing its way into boffins' labs

      From drugs to galaxy hunting, AI is elbowing its way into boffins' labs

      Feature Powerful artificially intelligent algorithms and models are all the rage. They're knocking out it of the park in language translation and image recognition, but autonomous cars and chatbots? Not so much. One area machine learning could do surprisingly well in is science research. As AI advances, its potential is being seized by academics. The number of natural science studies that use machine learning is steadily rising.

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    19. Humanity needs you... to build an AI bot that can finger rotten headlines

      Humanity needs you... to build an AI bot that can finger rotten headlines

      Two AI researchers are behind a daring open challenge to fight the spread of outrageous headlines that are completely detached from reality. (As if anyone would write such things, tut-tut.) The Fake News Challenge ( FNC ) is organized by Dean Pomerleau, an entrepreneur and adjunct professor at Carnegie Mellon University, and Delip Rao, an employee at Joostware.

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    20. Nadella calls for AI sector to move beyond 'worshipping' a handful of companies

      Nadella calls for AI sector to move beyond 'worshipping' a handful of companies

      The tech sector is currently "worshipping" a handful of artificial intelligence companies, but is yet to show how it will make the technology accessible to and useful for its human end users, Microsoft head Satya Nadella has said. Speaking at the DLD technology conference in Munich, he said: "The way at least I have defined AI in simple terms is we are trying to teach machines to learn so they can do things that humans do, that in turn helps humans. Which is augmenting what we have."

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    21. Microsoft swallows up AI language biz Maluuba

      Microsoft swallows up AI language biz Maluuba

      Microsoft reckons it can advance its efforts in conversational AI by today acquiring Maluuba – a Canadian machine-learning startup trying to “solve artificial general intelligence” through language. The financial details of the deal remain undisclosed. Founded in 2011 by CEO Sam Pasupalak and CTO Kaheer Suleman, who were classmates at the University of Waterloo, Canada, Maluuba has grown from a small startup to a fully established deep learning laboratory in Montreal.

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