this app uses artificial intelligence to turn design mockups into source code
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.
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.
by JoinIN Team
This app uses artificial intelligence to turn design mockups into source code
facebook's mark zuckerberg in imperfect is perfect
photographer: getty images two playlists for getting stuff done at work
Research has found that music can help with worker productivity and mood, but that different types of music can have varying effects on workers' moods. Music with slower beats, like, say, a song by Brian Eno, relaxes anxious workers. Fast paced music, on the other hand, can make workers more alert. Some songs work well for concentration, and others for motivation.
by Arsames Qajar
Photographer: Getty Images Two Playlists for Getting Stuff Done at Work
28 toxic thoughts successful people refuse to believe
The ability to do that, to listen to the small feedback between the lines, knowing when to stay stubborn and when to adapt is one of the most important and hardest to learn skills for a founder.
Summarizing a successful startup in one sentence is simple: Great people build great products, get great customers and eventually will build a great company. As simple as it sounds, doing it right is incredibly difficult. You will face a lot of challenges in the early days of your company and the more successful you are, the bigger your team gets, the harder it gets to keep your team members aligned and your company on track. The one thing that you should keep in mind is that at the end of the day, everything, good or bad is caused by the people in your team. Empowering your team and getting out of the way is key but it’s only possible if you hire the right people.
It’s important to understand that it’s not just about you interviewing a candidate. You have to design a hiring process that involves your team, that gives the candidate a lot of opportunity to evaluate you as well. Every growing company faced the same challenge and you can learn a lot from the best practises of the industry, from companies that did a great job with hiring and also from companies who failed. Luckily, now more than ever, startups are willing to share their journey starting with small insights and some tactical advice as far as being completely transparent like Buffer. Take the opportunity and learn from those companies and their failures and successes.
Don’t forget that you are always hiring. It doesn’t matter if you are doing a job interview in your office or if you are at a friends party. You are always leaving an impression, if you want or not. Maybe you aren’t looking for anybody right now but you surely will in the future. Or at your next job or company.
by JoinIN Team
Hiring, the Single Most Important Skill as a Founder
"In the first paragraph of the preface, Knuth calls programming “an aesthetic experience much like composing poetry or painting.” I think this aesthetic beauty still captivates every aspiring programmer. After traveling a great distance along an exponential curve since the 1950s, it’s comforting to know that beauty remains intact. Though we no longer hammer out software and feed it into a hot, loud calculator, the beauty of programming still infuses every layer of abstraction."
This is what is sometimes missing from the debate around algorithms in our lives: A voice that speaks with clarity about how faulty algorithms are worsening inequality in our world. In addition to explaining the math, she makes an impassioned argument against the growing over-reliance on totally opaque models that are often biased and downright incorrect.
The fact that even in these progressive cities, the poor get poorer, equality is worsening, and the benefits are seen mainly by the well-off. “So which is it,” he asks early on in the book, as much to himself as to us, “Are cities the great engines of innovation, the models of economic and social progress, that the optimists celebrate, or are they the zones of gaping inequality and class divisions that the pessimists decry?”
Really, it’s about how we as a culture have totally misunderstood what play and fun really are. Bogost explains that fun comes from restrictions, rules, and tensions, not freedom.”Fun isn’t pleasure, it turns out,” he writes. “Fun is the feeling of finding something new in a familiar situation. Fun almost demands boredom: you need the sense that nothing good could possibly arise from an experience in order for the experience there to smolder with the hot pleasure of surprise.”
Google doesn't require a college degree, based on research showing no correlation between academic credentials and performance on the job. And Google has had its pick of top students from top programs at top universities.
One student told me that a friend of hers had left Yale because she found the school "stifling to the parts of yourself that you'd call a soul."
This system is exacerbating inequality, retarding social mobility, perpetuating privilege, and creating an elite that is isolated from the society that it's supposed to lead.
Peter Thiel's Fellowship offers students $100,000 over two years to drop out of school. The offer shocked me when I first heard of it. On meeting a few ThielFellows, all outstanding, and seeing how traditional universities can stifle many (not all!) students, I saw value in his approach and attack.
Inventor, entrepreneur, visionary, Ray Kurzweil's accomplishments read as a startling series of firsts -- a litany of technological breakthroughs we've come to take for granted. Kurzweil invented the first optical character recognition (OCR) software for transforming the written word into data, the first print-to-speech software for the blind, the first text-to-speech synthesizer, and the first music synthesizer capable of recreating the grand piano and other orchestral instruments, and the first commercially marketed large-vocabulary speech recognition.
In 2009, he unveiled Singularity University, an institution that aims to "assemble, educate and inspire leaders who strive to understand and facilitate the development of exponentially advancing technologies." He is a Director of Engineering at Google, where he heads up a team developing machine intelligence and natural language comprehension.
by Arsames Qajar
"Get ready for hybrid thinking" by Ray Kurzweil
why you should really stop using public wifi (hbr)
The most remarkable thing about neural nets is that no human being has programmed a computer to perform any of the stunts described above. In fact, no human could. Programmers have, rather, fed the computer a learning algorithm, exposed it to terabytes of data—hundreds of thousands of images or years’ worth of speech samples—to train it, and have then allowed the computer to figure out for itself how to recognize the desired objects, words, or sentences.
Venture capitalists, who didn’t even know what deep learning was five years ago, today are wary of startups that don’t have it. “We’re now living in an age,” Chen observes, “where it’s going to be mandatory for people building sophisticated software applications.” People will soon demand, he says, “ ‘Where’s your natural-language processing version?’ ‘How do I talk to your app? Because I don’t want to have to click through menus.’ ”