The latest blog posts to take off on Hacker News. 3,242 posts.
Our primary mission at DeepMind is to push the boundaries of AI, developing programs that can learn to solve any complex problem without needing to be taught how. Our reinforcement learning agents have achieved breakthroughs in Atari 2600 games and the game of Go. Such systems, however, can require a lot of data and a…
Enhance your consumer & market intelligence knowledge with our resource library. Discover the role of Generative AI in transforming the digital landscape.
We’re working with Microsoft to start running most of our large-scale experiments on Azure.
In 10 years, Google Translate has gone from supporting just a few languages to 103, connecting strangers, reaching across language barriers and even helping people find …
CPU-based machines in the cloud are terrific for general purpose computing, but certain tasks such as rendering or large-scale simulations are much faster on specialized processors. Graphics Processing Units (GPUs) contain hundreds of times as many computational cores as CPUs and are great at accelerating risk…
Posted by Peyman Milanfar, Research Scientist Everyday the web is used to share and store millions of pictures, enabling one to explore the world, ...
Over the last six months, a powerful new neural network playbook has come together for Natural Language Processing. The new approach can be summarised as a simple four-step formula: embed, encode, attend, predict. This post explains the components of this new approach, and shows how they're put together in two recent…
Today at BlizzCon 2016 in Anaheim, California, we announced our collaboration with Blizzard Entertainment to open up StarCraft II to AI and Machine Learning researchers around the world.
We've improved OpenSfM—the technology we use to create 3D reconstructions from images. By adding post-processing, we get denser 3D point clouds resulting in better visualization, positioning, and much more.
In the early 1960s, every company had a huge investment in the future of computers. I fell into a device-oriented research group, wherein the goal was to find new phenomena that we could turn into computer memory. Magnetic core memories were already becoming a nuisance. Some people worked on photochromic phenomena…
Posted by Vincent Dumoulin*, Jonathon Shlens and Manjunath Kudlur, Google Brain TeamPastiche. A French word, it designates a work of art that imita...
I'm pleased to announce the 1.0 release of spaCy, the fastest NLP library in the world. By far the best part of the 1.0 release is a new system for integrating custom models into spaCy. This post introduces you to the changes, and shows you how to use the new custom pipeline functionality to add a Keras-powered LSTM…
In a recent study in Nature, we introduce a form of memory-augmented neural network called a differentiable neural computer, and show that it can learn to use its memory to answer questions about complex, structured data, including artificially generated stories, family trees, and even a map of the London Underground…
Posted by Sujith Ravi, Staff Research Scientist, Google ResearchRecently, there have been significant advances in Machine Learning that enable comp...
The latest news from Google on open source releases, major projects, events, and outreach programs for early career developers.
Posted by Sergey Levine (Google Brain Team), Timothy Lillicrap (DeepMind), Mrinal Kalakrishnan (X)The ability to learn from experience will likely ...
Reducing energy usage has been a major focus for us over the past 10 years: we have built our own super-efficient servers at Google, invented more efficient ways to cool our data centres and invested heavily in green energy sources, with the goal of being powered 100 percent by renewable energy.
Posted by Ivan Krasin and Tom Duerig, Software EngineersIn the last few years, advances in machine learning have enabled Computer Vision to progres...
