The latest blog posts to take off on Hacker News. 6,336 posts.
In this post I will walk you through how to teach a computer to master a simple video game using the q-learning reinforcement learning algorithm. We will implement the algorithm from scratch in Ruby without the use of external gems. To enable us to illustrate the inner workings of the algorithm we will be teaching […]
Learn Machine Learning (ML) and be ahead of the pack in the Software industry. Machine Learning is a sub-field of Artificial Intelligence (A.I), which is heavily used in modern software systems. Machine Learning algorithms can improve software (a robot) and it's ability to solve problems through gaining experience and…
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Can you see the resemblance?
DeepMind's scientific mission is to push the boundaries of AI by developing systems that can learn to solve complex problems. To do this, we design agents and test their ability in a wide range of environments from the purpose-built DeepMind Lab to established games, such as Atari and Go.
Jeff Dean is a Google Senior Fellow in the Research Group, where he leads the Google Brain project. He spoke to the YC AI [https://ycombinator.wpengine.com/yc-ai/] group this summer. Here are his slides:
Machine learning systems are built from both code and data. It's easy to reuse the code but hard to reuse the data, so building AI mostly means doing annotation. This is good, because the examples are how you program the behaviour – the learner itself is really just a compiler. What's not good is the current…
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This paper surveys the design approaches used in distributed machine learning (ML) platforms and proposes future research directions. This ...
The Laziest Programmer - Because someone else has already solved your problem.
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Synthesizing adversarial examples for neural networks is surprisingly easy.
Part 1 of 2: "The Road to Superintelligence". Artificial Intelligence — the topic everyone in the world should be talking about.
Imagining the consequences of your actions before you take them is a powerful tool of human cognition. When placing a glass on the edge of a table, for example, we will likely pause to consider how stable it is and whether it might fall. On the basis of that imagined consequence we might readjust the glass to prevent…
By Marc Pollefeys, Director of Science, HoloLens It is not an exaggeration to say that deep learning has taken the world of computer vision, and many other recognition tasks, by storm. Many of the most difficult recognition problems have seen gains over the past few years that are astonishing. Opens in a new tab…
