For some reason I decided one night I wanted to get a bunch of fonts. An hour later I had a bunch of scrapy scripts pulling down fonts and a few days later I had more than 50k fonts on my computer. I then decided to convert it to bitmaps. It turns out this is a bit trickier than it might seem like. You need to crop in such a way that each character of a font is vertically aligned, and scale everything to fit the bitmap.

A video of the talk is available here, and the slides are in a PDF in the repository. This should be sufficient to give you a broad overview of the project, and more detailed resources can be found in the'Recommended reading' section. The implementation is contained within the directory babbage.

At the end of the fifth and final match, Lee Sedol sat back quietly in his chair in a conference room at the Four Seasons Hotel in Seoul as the collected computer scientists celebrated around him. Lee, second only to fellow South Korean Lee Chang-Ho in international titles in the ancient Chinese board game of Go, put up a valiant fight against the machine, AlphaGo, created by Google's DeepMind division. AlphaGo had erred early on, but recovered to overpower the human and win the series four to one. Board games have been used since the early days of artificial intelligence research as ways to measure progress -- IBM's Deep Blue famously beat world chess champion Garry Kasparov in New York in 1997 -- and AlphaGo's victory marks another significant milestone in the advancement of the technology. Go presents a far greater challenge to AI than chess.

Here's What We Can Expect from Deep Learning in 2016 and Beyond

Alex, one big data solution definitely worth mentioning is the HPCC systems from LexisNexis. Many uses of big data have a measurable positive impact on outcomes and productivity. Areas such as record linkage, graph analytics deep learning and machine learning have demonstrated being critical to help fight crime, reduce fraud, waste and abuse in the tax and healthcare systems, combat identity theft and fraud, and many other aspects that help society as a whole. It is worth mentioning the HPCC Systems open source offering which provides a single platform that is easy to install, manage and code. Their built-in analytics libraries for Machine Learning and integration tools with Pentaho for great BI capabilities make it easy for users to analyze Big Data.

Seal Software announced today that its first meetup session on advanced concepts in Machine Learning (ML) and Natural Language Processing (NLP) was a huge success, with additional sessions being scheduled to meet high attendance demand. The meetup, led by Seal's ML team based in Gothenburg, Sweden, was designed to assemble some of the best minds in ML, describe and explore the newest techniques in the field, and help cultivate the next generation of advancements in this area. Interest in the meetup was also driven by Seal's strong ties to Chalmers University in Gothenburg, a leading technology center in the advancement of data science. The meetup was met with overwhelmingly high demand, with more than twice the number of registrants that could be accommodated. Because of this, Seal plans to schedule additional sessions in order to open the discussion to all community members interested in advanced technology.

Quoc Le, a software engineer at Google Brain, is one such human. Google Brain focuses on "deep learning," a part of artificial intelligence. Think of it as a sophisticated type of machine learning, which is the science of getting computers to learn from data. Deep learning uses multiple layers of algorithms, called neural networks, to process images, text and sentiments quickly and efficiently. The idea is for machines to eventually be able to make decisions as humans do.

"Facing AlphaGo, I do not feel the same strong instinct of victory when I play a human player, but I still believe I have the advantage against it," he told state news agency Xinhua. Mr Ke has beaten 33-year-old Mr Lee eight times over ten matches between the pair, with two of his victories over the world number four coming earlier this year. Go Fans watch a TV screen showing the live broadcast of the Google DeepMind Challenge Match at Yongsan Electronic Technology Land in Seoul, South Korea, as Google's artificial intelligence (AI) program AlphaGo beat top-class South Korean Go player Lee Se-dol in the ancient board game Go. But another Chinese media outlet said Mr Ke had earlier said he was not interested in facing off against the programme in the complex strategy game because he did not want it to copy his own world-beating tactics. "I don't want to compete with AlphaGo because judging from its matches with Lee, AlphaGo is weaker than me," he told Shanghai-based thepaper.cn.

It doesn't look like a place to make groundbreaking discoveries that change the trajectory of society. But in these simulated, claustrophobic corridors, Demis Hassabis thinks he can lay the foundations for software that's smart enough to solve humanity's biggest problems. 'Our goal's very big,' says Hassabis, whose level-headed manner can mask the audacity of his ideas. He leads a team of roughly 200 computer scientists and neuroscientists at Google's DeepMind, the London-based group behind the AlphaGo software that defeated the world champion at Go in a five-game series earlier this month, setting a milestone in computing."

This classifier is based on deep learning algorithms applied to music. These techniques can find useful descriptions entirely on their own. This can have three reasons. The first one is that the class or label you are looking for was not part of the training set. The second one is that we only analyze 1 minute of the track for this demo.