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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New AI Can Write and Rewrite Its Own Code to Increase Its Intelligence

This new #AI can rewrite its own code to get even smarter  via @futurism

  • This form of probabilistic programming — a code that uses probabilities instead of specific variables — requires fewer examples to make a determination, such as, for example, that the sky is blue with patches of white clouds.
  • Gamalon CEO and cofounder Ben Vigoda showed MIT Technology Review a demo drawing app that uses their new method.
  • However, unlike Google’s version, which relied on sketches it had previously seen to make predictions, Gamalon’s app relies on probabilistic programming to identify an object’s key features.
  • One product, the Gamalon Structure, using Bayesian program synthesis to recognize concepts from raw text, and it does so more efficiently than what’s normally possible.
  • For example, if equipped with a Beysian model of machine learning, smartphones or laptops wouldn’t need to share personal data with large companies to determine user interests; the calculations could be done effectively within the device.

Teaching machines could be much easier using this tech.
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Donald Clark Plan B

Brains - 10 deep flaws and why AI may be the fix #Ai #edtech #LT17uk

  • Finally have enough time to attend, read, post, listen, watch and speak on anything I want to.
  • Collaborative AI is learning from shared experience – collective intelligence is and it’s terrifying
  • Our brains are networks the most complex networks we know of, and artificial intelligence uses that same (or similar) networked power to interact with our brains.
  • 6. Brains can’t upload and download Brains can’t upload and download.
  • Learning; deep learning, fast learning and machine learning is progressing fast and promises to deliver an alternative world of learnt skills on an unimaginable scale.

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Machine Learning A-Z™: Hands-On Python & R In Data Science Coupon Save 95 %

Machine Learning A-Z™: Hands-On Python & R In Data Science
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  • The course is fun and exciting, but at the same time we dive deep into Machine Learning.
  • Part 4 – Clustering: K-Means, Hierarchical Clustering
  • Part 10 – Model Selection & Boosting: k-fold Cross Validation, XGBoost
  • We will walk you step-by-step into the World of Machine Learning.
  • The course is packed with practical exercises which are based on live examples.

Coupon 100 10 15 75 Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included.
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Are Robots the Future of Customer Engagement?

Are #Robots the Future of Customer Engagement?
  via @smxplorer
[#AI #CX #Marketing]

  • Most brands are smarter than Microsoft to publicly release their bots before all the kinks are worked out, but this shows that brands are pushing to use this new technology.
  • Chatbots, better known as bots , are computer programs that conduct a conversation with auditory and/or textual methods.
  • Bots that operate with rules have limited capabilities and can only respond to specific commands, meaning if you venture into a topic outside the guidelines they won’t know how to respond.
  • As Bots allow consumers to instantly interact with the world around them through conversation, the day will soon come when people will want to engage with a brand’s bot.
  • Jeff Lesser, Twitter’s Head of Social Customer Service, at the recent Corporate Social Media Summit New York said that customer service is the top reason why people follow brands on Twitter.


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