A new GamesBeat event is around the corner! Learn more about what comes next. Uizard, a startup developing AI-powered tools to build apps and websites, today announced that it raised $15 million in funding from Insight Partners with participation from Mariano Suarez-Battan, byFounders, LDV Capital, and av8 Ventures. According to CEO Tony Beltramelli, the proceeds will be used to grow Uizard's marketing and commercial teams and hire new talent globally, with a focus on Europe. Driven by the consumerization of software and increasing customer demand for good design, companies now live or die by the design of their products.

Translating design into code can be tedious and not particularly thought-provoking--which also happens to be the criteria that makes a task ripe for automation. The Copenhagen-based startup UIzard Technologies is already on it: The company has trained a neural network to take a screenshot of a graphic interface and translate it into lines of code, effectively eliminating that part of the web design process for developers. Impressively, the same model works across iOS, Android, and web-based interfaces, and at this early point in the research the algorithm works with 77% accuracy. Last week, Tony Beltramelli, the founder and CEO of UIzard Technologies published a research paper on how the model, called Pix2Code works. The gist is this: Like all machine learning, the researchers had to train the model on examples of the task at hand.

Artificial intelligence is threatening worker's jobs in dozens of different professions, from manufacturing and legal to banking and driving, and many more. Now, it's time to add programming to that list. A new neural network being built by a Danish startup called UIzard Technologies IVS has created an application that can transform raw designs of graphical user interfaces into actual source code that can be used to build them. Company founder Tony Beltramelli has just published a research paper that reveals how it has achieved that. It uses cutting-edge machine learning technologies to create a neural network that can generate code automatically when it's fed with screenshots of a GUI.

As machine learning matures, we're finding more and more applications for the technology, beyond the niche and novelty. It's even starting to encroach on the jobs of designers and programmers, if Tony Beltramelli's research project "pix2code" is anything to go by. As the video above shows, using a trained neural network Beltramelli is able to input an image of a user interface and the program will output code (either for iOS, Android or web) of that UI. According to Beltramelli, the current iteration is able to produce results with 77 per cent accuracy. Of course, the idea behind pix2code is to simply show what's possible -- it's in no way ready for prime time.