Due to popular demand, we’re launching a new stream of research to track the applications and implications of AI on the world of HR and Recruitment. Just this week we’ve seen some pretty interesting developments in this space, from funding to advice we rate.
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Did you know that Companies using AI for recruiting software have seen promising results such as a 71% decrease in cost per hire?
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In the latest paper from DeepMind, they introduce AlphaGo Zero, the latest evolution of AlphaGo, the first computer program to defeat a world champion at the ancient Chinese game of Go. Zero is even more powerful and is arguably the strongest Go player in history, all thanks to a novel form of reinforcement learning.
Previous versions of AlphaGo initially trained on thousands of human amateur and professional games to learn how to play Go. AlphaGo Zero skips this step and learns to play simply by playing games against itself, starting from completely random play. In doing so, it quickly surpassed human level of play and defeated the previously published champion-defeating version of AlphaGo by 100 games to 0.
Revelo, a job marketplace that puts the responsibility on companies to contact candidates, has raised $4.6 million in its latest financing. The company, unlike traditional job boards, puts high-end, high-profile Brazilian job seekers at the center of the search, and makes companies reach out to them. “We use machine learning and adaptive technical tests to offer a curated talent pool of engaged talent to our more than 1.500 clients,” said Revelo’s co-founder Lucas Mendes, in a statement.
Governments are using chat bots to help people cut through layers of bureaucracy to find the information they need and open up new channels for public consultation. As these robots become more prevalent, we need to ask what role they’ll play in the government of the future, and what lies beyond them. Apolitical asks: are they the next step towards digital democracy?
Citibot is developing a chat bot to help bridge the gap separating local government from the people it serves
The government of Jersey has developed a chat bot to replace the surveys that previously made up public consultations with something more effective.
Called Almono, the fake city is built on an old steel mill site along the Monongahela River in the Hazelwood neighborhood of Pittsburgh. It has a giant roundabout, fake cars, and roaming mannequins that jump out into the street without warning. There are even containers meant to simulate buildings, training the cars to operate even when looming structures block their line of sight.
“We have obstacles and mannequins that move and can cross the street in front of the car. We have prop vehicles zooming around,” Rick McKahan, an Uber vehicle operator, said in an interview. “In most situations, we simulate those in such a way that they’re worse than anything you would see out on public roads.”
From the colours and faces in their photos to the enhancements they make before posting them, Instagram users with a history of depression seem to present the world differently from their peers, according to the study, published this week in the journal EPJ Data Science.
Using machine-learning tools, Andrew Reece, a postdoctoral researcher at Harvard University and co-author Christopher Danforth, a professor
at the University of Vermont found that the more comments a post received, the more likely it was to have been posted by a depressed participant. The opposite was true for likes. And depressed users tended to post more frequently, they found.
Gideon Mendels has spent the past three years in machine learning research, studying at Columbia University, building hate speech detection software at Google, and developing chat analytics app Groupwize with his business partner, Nimrod Lahav. In those roles, Mendels observed a recurring problem. There wasn’t a good system for managing machine learning projects, like GitHub for software or Salesforce for sales.
Mendels and Lahav set out to solve that problem. The result is Comet, a suite of tools that help machine learning teams manage their experiments and projects. Comet tracks code, facilitates team collaboration, and allows developers to glean insights from past work. “Without this fundamental infrastructure that Comet provides, machine learning teams are inefficient,
disorganized, and difficult to manage,” Mendels said.
Be the future of medicine! AIMed is the one of the world’s leading event on artificial intelligence in medicine and healthcare.
This conference is comprised of pre-meeting workshops, followed by three days of fast-paced and interactive sessions in a variety of fields, including: big data and databases, cognitive computing, deep learning, and decision support. AIMed will be held December 11-14, 2017 at the beautiful Ritz-Carlton Laguna Niguel, CA.