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The often-overlooked random forest kernel
Ryan Marcus, assistant professor at the University of Pennsylvania. Using machine learning to build the next generation of data systems.
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The latest blog posts to take off on Hacker News. 326 posts.
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Language Models, Word2Vec, and Efficient Softmax Approximations
The Word2Vec model has become a standard method for representing words as dense vectors. This is typically done as a preprocessing step, after which the learned vectors are fed into a discriminative model (typically an RNN) to generate predictions such as movie review sentiment, do machine translation, or even…
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Learning a hierarchy
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Speech Recognition Is Not Solved
Ever since Deep Learning hit the scene in speech recognition, word error rates have fallen dramatically. But despite articles you may have read, we still don’t have human-level speech recognition. Speech recognizers have many failure modes. Acknowledging these and taking steps towards solving them is critical to…
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A Theory of Sequence Memory in Neocortex
Why neurons have thousands of synapses, a theory of sequence memory in neocortex Hawkins & Ahmad, Front. Neural Circuits 2016 It all began with a fascinating lunchtime conversation with Martin …
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Word vectors are awesome but you don’t need a neural network to find them
When I started playing with word2vec four years ago I needed (and luckily had) tons of supercomputer time. But because of advances in our understanding of w...
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Hey Siri: An On-Device DNN-Powered Voice Trigger for Apple’s Personal Assistant
The “Hey Siri” feature allows users to invoke Siri hands-free. A very small speech recognizer runs all the time and listens for just those…
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Pixel Visual Core: Google’s first custom-designed co-processor
Google’s first custom-designed co-processor for consumer products is built into every Pixel 2. Soon, it will enable more applications to use Pixel 2’s camera for taking …
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The Neural Net Tank Urban Legend
AI folklore tells a story about a neural network trained to detect tanks which instead learned to detect time of day; investigating, this probably never happened.
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There's No Fire Alarm for Artificial General Intelligence
What is the function of a fire alarm?
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Gluon – Deep Learning API from AWS and Microsoft
Post by Dr. Matt Wood Today, AWS and Microsoft announced Gluon, a new open source deep learning interface which allows developers to more easily and quickly build machine learning models, without compromising performance. Gluon provides a clear, concise API for defining machine learning models using a collection of…
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Competitive Self-Play
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Tensorflow sucks
A detailed analysis
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NNVM Compiler: A New Open End-To-End Compiler for AI Frameworks
You can choose among multiple artificial intelligence (AI) frameworks to develop AI algorithms. You also have a choice of a wide range of hardware to train and deploy AI models. The diversity of frameworks and hardware is crucial to maintaining the health of the AI ecosystem. This diversity, however, also introduces…
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WaveNet launches in the Google Assistant
Just over a year ago we presented WaveNet, a new deep neural network for generating raw audio waveforms that is capable of producing better and more realistic-sounding speech than existing techniques. At that time, the model was a research prototype and was too computationally intensive to work in consumer products.
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Teachable Machine: Teach a machine using your camera, live in the browser
Teachable Machine, an experiment that makes it easier for anyone to explore machine learning. Teach a machine using your camera – live in the browser, no coding required.
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The hippocampus as a 'predictive map'
Think about how you choose a route to work, where to move house, or even which move to make in a game like Go. All of these scenarios require you to estimate the likely future reward of your decision. This is tricky because the number of possible scenarios explodes as one peers farther and farther into the future…
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Brain vs. Deep Learning (2015)
This blog post compares deep learning to the brain and derives an estimate of computational power for the brain which is used to predict the singularity.
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Nonlinear Computation in Deep Linear Networks
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Real-Time Recognition of Handwritten Chinese Characters
Handwriting recognition is more important than ever given the prevalence of mobile phones, tablets, and wearable gear like smartwatches. The…
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Announcing tools for the AI-driven digital transformation
Artificial Intelligence (AI) has emerged as one of the most disruptive forces behind the digital transformation of business. Today, at Microsoft Ignite 2017, as we engage in conversations about digital transformation with over 25,000 customers and partners, I am pleased to share some of our latest and most exciting…
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Intel Introduces Neuromorphic Test Chip
Intel Newsroom delivers the latest news, announcements, and updates. Stay informed on Intel innovations.
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An Intuitive Explanation of Convolutional Neural Networks (2016)
What are Convolutional Neural Networks and why are they important? Convolutional Neural Networks (ConvNets or CNNs) are a category of Neural Networks that have proven very effective in areas such a…