March Madness: A Swarm Intelligence Is Predicting the Future

#MarchMadness: A Swarm Intelligence Is Predicting the Future   #AI #IBMInterConnnect

  • When Unanimous AI developed UNU in 2015, the goal was to create artificial intelligence (AI) systems that “keep people in the loop,” amplifying human intelligence instead of replacing it.
  • Unanimous AI’s March Madness bracket was able to beat all but three percent of ESPN brackets across the country on the first day of the tournament.
  • The technology makes use of the collective intelligence of people — combining “knowledge, insights, and intuitions,” as Unanimous AI puts it — to develop a kind of artificial intelligence that’s inherently human.
  • As Unanimous AI explains, “We empower people to act as ‘data processors’ that come together online and form an intelligent system, connected by AI algorithms.
  • One day, perhaps we’ll be able to combine the intelligence of Watson with that of a swarm of medical professionals to improve healthcare, or combine the insights of an investment-making AI with a swarm of finance experts.

The collective intelligence is killing it on ESPN.
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Snapchat Is Beginning to Use Machine Learning to Improve Ad Targeting

Snapchat is beginning to use machine learning to improve ad targeting:

  • Snap’s expected IPO coming sometime next year will likely keep a fire lit under Snap to further innovate.
  • While GBB campaigns are still charged on a CPM basis, Snap says the campaigns end up being more effective.
  • Snap has also been making a big push to improve measurement.
  • Snapchat is adding ways to optimize campaign performance with the help of machine learning.
  • According to CBInsights , Snap Inc. acquired four patents in 2016, and while it’s nowhere near the 16 it received in 2015 or the 18 it received in 2014, it’ll likely need to keep innovating next year.

Snapchat is adding ways to optimize campaign performance with the help of machine learning.  Earlier this month, Snap Inc. began rolling out what it calls Goal-Based Bidding (GBB). The option, available to marketers buying ads through Snapchat’s API, uses machine learning to know which users are most likely to swipe a certain type of ad.
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This scary artificial intelligence has learned how to pick out criminals by their faces

This scary artificial intelligence has learned how to pick out criminals by their faces

  • This scary artificial intelligence has learned how to pick out criminals by their faces
  • The neural network could tell criminals apart from non-criminals with a stunning accuracy of 89.5 percent.
  • With the advent of photography, a tiny fraction of 19th-century scientists believed they could develop methods of accurately identifying criminals by their facial features.
  • If psychologists are right to suggest humans can make out criminals from non-criminals , machines should be capable of this too – especially, since neural networks are modeled after the human brain.
  • The photographic sample that was fed to the neural network is severely limited, to say the least – both when it comes to the quantity and quality of the photos that the AI parsed.

Researchers from Shanghai Jiao Tong University have developed an artificial intelligence algorithm that can supposedly pick out criminals by their faces.
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Chatbots are revolutionizing customer support

Interesting article on how #ChatBot could revolutionize customer support. #AI #startup

  • Anything reducing the need for manpower in customer support is considered a good thing.
  • Above: Bots will help, not hinder, customer support in a company.
  • Although a chatbot can handle basic requests, some of your customers will want to talk to real people and will require complicated support to answer some of their more difficult questions.
  • Customer support is one the most resource-intensive departments in a company.
  • Chatbots are revolutionizing customer support

Customer support is one the most resource-intensive departments in a company. Staff spend their day answering queries, on the telephone with customers, communicating with other departments, and much more. It is also a part of the operation that is hard to link to an ROI.
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Blockchain Adoption Faster Than Expected

#Blockchain Adoption Faster Than Expected

#fintech #Bitcoin #IoT #AI #IBMWatson

  • Over 65 percent of the banks surveyed expect to deploy blockchains at scale within the next three years.
  • One area where blockchains are already seeing considerable use is in logistics, which is opening the way for blockchains to be used as a way to interact with and monitor Internet of Things devices.
  • , this year’s All Things Open conference has responded to interest in blockchains by adding a separate Blockchain track which will run during both days of the event, scheduled for October 26-27 in Raleigh, North Carolina.
  • Blockchains, the distributed database model behind cryptocurrency Bitcoin, continues to prove itself as the next big thing in the enterprise.
  • “With blockchain now moving into the enterprise and there being a significant ‘open’ component to it, it should be extremely well received,” conference chairperson Todd Lewis told Windows IT Pro.

A study released last week by IBM indicates that blockchain adoption by financial institutions is on the rise and beating expectations. This is good news for IBM, which is betting big on the database technology that was brought to prominence by Bitcoin. Yesterday, Big Blue announced that it has made its Watson-powered blockchain service available to enterprise customers.
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Google’s AI translation system is approaching human-level accuracy

Google's AI translation system is approaching human-level accuracy

  • Google says its GNMT system is even approaching human-level translation accuracy.
  • SpaceX CEO Elon Musk has unveiled the design for the giant rocket booster he wants to build in order to colonize Mars.
  • Elon Musk has a lot to prove at today’s Mars colonization announcement
  • Google’s AI translation system is approaching human-level accuracy
  • Google is one of the leading providers of artificial intelligence-assisted language translation, and the company now says a new technique for doing so is vastly improving the results.

Google is one of the leading providers of artificial intelligence-assisted language translation, and the company now says a new technique for doing so is vastly improving the results. The company’s…
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Silicon Valley Bank survey finds big data, AI will have greatest impact on healthcare industry

Survey finds #bigdata, #AI will have greatest impact on #healthcare industry

  • Silicon Valley Bank survey finds big data, AI will have greatest impact on healthcare industry
  • Artificial intelligence and big data are shaping up to have the biggest impact on the healthcare industry, and most of that money will be coming from venture capital funds, according to a new survey of digital health executives and investors.
  • Almost half of respondents say big data, followed by artificial intelligence (35 percent) are the most promising technologies in terms of impact on investment.
  • Silicon Valley Bank surveyed 122 founders, executives and investors in health technology, asking about the biggest opportunities and threats for the industry in the next year.
  • Venture capital will offer the most funding, nearly 62 percent of survey respondents said, with the next closest expected to be corporate ventures.

Artificial intelligence and big data are shaping up to have the biggest impact on the healthcare industry, and most of that money will be coming from venture capital funds, according to a new survey of digital health executives and investors.
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