Recruiting by algorithm. Amazon’s got skills (25K of them in the US). Bot writes Harry Potter story. http://cognitionx.com/news-briefing/.
The National Infrastructure Commission’s recently released report on ‘data for the public good’ examines the opportunities that new innovations like AI present. According to the report, AI could add 10.3% to the UK economy by 2030, which is up to £2.3K per household.
The report also argues that the benefits of enabling new technologies through better infrastructure data could include:
Cutting the numbers of delays and disruptions to train journeys by better planning maintenance and making repairs more quickly through the use of sensor networks and the application of machine learning
Reducing the numbers of traffic jams on the roads by using smart traffic lights and other systems;
Responding to extreme weather events like snowstorms and floods in a more coordinated way
Curious to hear your thoughts…click this link to tweet about the report and let’s get the conversation going.
Tabitha UntiltheBotsTakeOver Goldstaub
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The Mayor of London, in partnership with the UKBusiness Angels Association, is seeking 10 ground-breaking, London-based, AI innovators in healthcare, retail, transport, environment, manufacturing, finance, insurance and others to participate in the first event in the Mayor of London’s TechInvest Programme. The deadline for applications has been extended to 2 January, 2018. Click here to apply
The first event in this series will be hosted by the Mayor in London’s Living Room at the top of iconic City Hall, on the 18th January 2017, and invites entrepreneurs using Artificial Intelligence to compete for the opportunity to pitch. The judges thus far will be: Me, Simon Menashy (MMC Ventures), Ben Blume (Atomico), Hitesh Thakrar (Investor Life Sciences).
Interested in how companies are using algorithms to boost their recruiting game? Check out this article from Robert Jeffery, who discusses how algorithms are rewriting the rules of recruitment (And what that means for your job…). If you’re looking to stay head in HR, check out our research subscription service.
“There are a lot of early adopters, but we’re still relatively early in the process and HR generally isn’t that well advanced [in its use of AI],” says Ed Janvrin, head of research at CognitionX. “But it’s coming. A lot of HR departments are having those conversations now.”
He outlines a range of areas where activity is buoyant: candidate sourcing; compatibility matching (using psychometrics or other forms of selection); predictive analytics around new hire performance; full recruitment platforms focused on improving candidate experience; and video interviewing.
Amazon has been touting 25,000 Alexa skills for a couple of months now. That is accurate on a global basis. However, some skills are only available in particular markets. For example German-language skills are not available to US and UK users with Alexa set to English. No user actually had access to all of those skills. That changed a few days ago. Amazon Alexa skills now top 25,000 for the first time in US Alexa skill store.
Jason Mayes (Senior Creative Engineer, Google) has put together a great primer for machine learning in the form of a slide deck. It’s a 2-hour read and covers a whole load of information. Highly recommended.
The Metropolitan Police’s digital forensics department, which last year trawled through 53,000 different devices for incriminating evidence, already uses image recognition software but it is not sophisticated enough to spot indecent images and video, Mark Stokes, the Met’s head of digital and electronics forensics, told the Telegraph.
“We have to grade indecent images for different sentencing, and that has to be done by human beings right now, but machine learning takes that away from humans,” he said. The force is currently drawing up an ambitious plan to move its sensitive data to cloud providers such as Amazon Web Services, Google or Microsoft, Mr Stokes said.
A patent filed by Apple and recently made public suggests Siri may someday detect when you’re whispering at it, and in turn know when to whisper back. Apple has sought to patent “a digital assistant that is capable of detecting a whispered speech input and providing a whispered speech response.”
In the document, Apple provided a few scenarios when a whispering assistant might come in handy, like “while studying in a library where speaking loudly may be
prohibited” or “while working at a cubicle with other co-workers surrounding the user.” The application also cites “protecting the user’s privacy” as a reason why Siri might need to better detect and understand a whispering user, and why it’d be necessary for Siri to quietly whisper back.
A Nigerian startup has developed a machine learning system to detect child birth asphyxia earlier and hopes to save thousands of babies’ lives every year when its technology is deployed.
The founders say the AI solution has achieved over 95% prediction accuracy in trials with nearly 1,400 pre-recorded baby cries. The startup is now raising funds to acquire more data to improve accuracy and obtain clinical approval from health institutions.The young startup is
already garnering international attention and is in the final round for the global IBM Watson AI XPRIZE competition, which has a $5 million prize.
No-limit Texas hold’em is the most popular form of poker. Despite AI successes in perfect-information games, the private information and massive game tree have made no-limit poker difficult to tackle. Noam Brown and Tuomas Sandholm present Libratus, an AI that, in a 120,000-hand competition, defeated four top human specialist professionals in heads-up no-limit Texas hold’em, the leading benchmark and long-standing challenge problem in imperfect-information game solving.
Their game-theoretic approach features application independent techniques: an algorithm for computing a blueprint for the overall strategy, an algorithm that fleshes out the details of the strategy for subgames that are reached during play, and a self-improver algorithm that fixes potential weaknesses that opponents have identified in the blueprint strategy.