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New
The latest blog posts to take off on Hacker News. 3,242 posts.
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Lessons Learned from Benchmarking Fast Machine Learning Algorithms
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Agents that imagine and plan
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…
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Second version of HoloLens HPU will incorporate AI coprocessor
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…
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Teaching Robots to Understand Semantic Concepts
Posted by Sergey Levine, Faculty Advisor and Pierre Sermanet, Research Scientist, Google Brain TeamMachine learning can allow robots to acquire com...
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Interpreting neurons in an LSTM network
A few months ago, we showed how effectively an LSTM network can perform text transliteration .
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The future of deep learning
This post is adapted from Section 3 of Chapter 9 of my book, Deep Learning with Python (Manning Publications).
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Robust Adversarial Examples
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Facets: An Open Source Visualization Tool for Machine Learning Training Data
Posted by James Wexler, Senior Software Engineer, Google Big Picture Team(Cross-posted on the Google Open Source Blog)Getting the best results out ...
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The Limitations of Deep Learning
This post is adapted from Section 2 of Chapter 9 of my book, Deep Learning with Python (Manning Publications).
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Machine Learning Crash Course: The Bias-Variance Dilemma
Machine Learning at Berkeley is a student organization at UC Berkeley. Click to read ML@B Blog, by Machine Learning at Berkeley, a Substack publication with thousands of subscribers.
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What if AI is a failed dream?
A collection of thoughts, ideas and unsolicited opinion from Made by Many: articles, reflections, talks and interviews from the people doing the work.
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Using Deep Learning to Create Professional-Level Photographs
Posted by Hui Fang, Software Engineer, Machine PerceptionMachine learning (ML) excels in many areas with well defined goals. Tasks where there exis...
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Where machine learning meets rule-based systems
Summary: This post addresses some high-level questions like: Longer term, how much of the verification of Intelligent Autonomous Systems can be done with just Machine Learning (ML)? Should most req…
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Generating music with expressive timing and dynamics
We present Performance RNN, an LSTM-based recurrent neural network designed to model polyphonic music with expressive timing and dynamics. Here’s an example...
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Help EFF Track the Progress of AI and Machine Learning
The field of machine learning and artificial intelligence is making rapid progress. Many people are starting to ask what a world with intelligent computers will look like. But what is the ratio of hype to real progress? What kinds of problems have been well solved by current machine learning techniques, which ones are…
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Supercharge your Computer Vision models with the TensorFlow Object Detection API
Posted by Jonathan Huang, Research Scientist and Vivek Rathod, Software Engineer (Cross-posted on the Google Open Source Blog) At Google, we develo...
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Deal or no deal? Training AI bots to negotiate
Visit the post for more.
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