This app uses artificial intelligence to turn design mockups into source code

This app uses artificial intelligence to turn design mockups into source code

  • While traditionally it has been the task of front-end developers to transform the work of designers from raw graphical user interface mockups to actual source code, this trend might soon be a thing of the past – courtesy of artificial startup UIzard Technologies has leveraged the latest developments in the field of machine learning to build a neural network that, once fed with raw screenshots of graphical user interface, proceeds to automatically generate code.
  • What is particularly intriguing is that the so-called Pix2Code model has the capacity to produce code for three different platforms, including Android and iOS as well as other web-based technologies.
  • As UIzard founder Tony Beltramelli explains in his research, the novel approach could potentially “end the need for manually-programmed” user interfaces altogether.
  • At present, the method generates code from screenshots with an impressive accuracy of over 77 percent, but the consistency of the algorithm is likely to improve in the future.
  • Watch this brief video demonstration to see the AI-powered app in action:

    While UIzard has already shared some of the principles behind the technology powering its software, the company notes that the source code for the actual app will become available later this year.

Designers might no longer have to rely on front-end developers to turn their user interface mockups into source code – courtesy of artificial intelligence.
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Accountants are embracing artificial intelligence

Accountants are embracing artificial intelligence

  • This is according to a new report by Sage, which says 96 percent of accountants are confident about the future of accountancy as well as their role in it.
  • Despite welcoming change, more than two thirds of respondents (68 percent) expect their roles to change through automation, in the future.
  • Here’s what accountants are expecting from automation: almost four in ten (38 percent) see number-crunching as their number one frustration.
  • Thirty-two percent still use manual methods for this work.
  • A quarter (25 percent) use Excel while seven percent still use handwritten notes.

Accountants are embracing artificial intelligence
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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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