At Google, we spend a lot of time thinking about how computer systems can read and understand human language in order to process it in intelligent ways. We are excited to share the fruits of our research with the broader community by releasing SyntaxNet, an open-source neural network framework for TensorFlow that provides a foundation for Natural Language Understanding (NLU) systems. Our release includes all the code needed to train new SyntaxNet models on your own data, as well as Parsey McParseface, an English parser that we have trained for you, and that you can use to analyze English text.
Over the last 13 months, at least three top-tier corporate clients have walked away, including Coca-Cola, American Express, and Nasdaq, according to internal documents. Palantir mines data to help companies make more money, but clients have balked at its high prices that can exceed $1 million per month, expressed doubts that its software can produce valuable insights over time, and even experienced difficult working relationships with Palantir’s young engineers. Palantir insiders have bemoaned the “low-vision” clients who decide to take their business elsewhere.
A bit off topic, but I’m becoming increasingly impressed with BuzzFeed’s journalistic output.
We’ve been building the best AI team and tools for years, and recent breakthroughs will allow us to do even more. This past March, DeepMind’s AlphaGo took on Lee Sedol, a legendary Go master, becoming the first program to beat a professional at the most complex game mankind ever devised. The implications for this victory are, literally, game changing—and the ultimate winner is humanity. This is another important step toward creating artificial intelligence that can help us in everything from accomplishing our daily tasks and travels, to eventually tackling even bigger challenges like climate change and cancer diagnosis.
A nifty authentication boilerplate for the Serverless framework.
All of this represents the conclusion of a test that began all the way back in 2010, and has been tweaked over the years since then. Search Engine Land readers — particularly some outside the U.S. — notified us late last year that they were seeing the top-only ads more frequently.
Data-driven design. I love stuff like this.
Blatantly ripping off other people’s work I see. Hats off to the f.lux developers for issuing such a polite and gracious response to the news.