"But I think she's a little insecure about reading out loud, but she loves to read." Children read out loud to the app on a smartphone, laptop or tablet, and it tracks factors such as pacing and accuracy, providing real-time feedback "So one out of three kids are proficient in reading in the United States, but when you expand that to racial lines, you have one out of five students of color who are proficient in reading, and so you see that gap widening," Askar said. Askar said it removes the anxiety-inducing factor of reading to peers by having children read aloud to the app. Shortly after launching the app last year, Askar said Readlee won the Harvard Innovation Lab Social Impact Award, which provided some funding for their company and helped them gain traction. "But I think she's a little insecure about reading out loud, but she loves to read." "So one out of three kids are proficient in reading in the United States, but when you expand that to racial lines, you have one out of five students of color who are proficient in reading, and so you see that gap widening," Askar said.

Thanks to Anagog's AI technology, users can also benefit from additional, personalised offers tailored to their location and behaviour patterns.

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 intelligence. Copenhagen-based 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. 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. 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.

There was a day a few years ago where I received 1000 emails. I'm super careful about using my email address on online forms and what not, but every single time I go to a conference or attend an industry event I somehow manage to get signed up for another dozen or so related lists thanks to someone passing out my deets. No matter how careful you are, if you're not diligent it's easy for your inbox to spiral out of control. And when it gets too full, you end up missing the emails you want to see because they've somehow gotten buried in a pile of emails you don't. Now there's a new app that wants to provide a robotic helping hand to make navigating through the chaos easier.

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 intelligence. Copenhagen-based 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.