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License Plate Detection Without Machine Learning
Learn how to detect vehicles license plates without heavy Machine Learning techniques, just standard image processing routines.
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Deep Learning in the Real World: Dealing with Non-Differentiable Loss Functions
Over the past few years, deep learning has been taking by storm many industries. From voice recognition to image analysis and synthesis, neural networks have turned out to be very efficient at solv…
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Open-Sourcing Ax and BoTorch: New AI Tools for Adaptive Experimentation
We are open-sourcing BoTorch and Ax, two new tools that leverage adaptive experimentation to efficiently tackle optimization challenges in tuning software configurations, machine learning hyperparameters, ranking systems, and more.
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Continuing our work to improve recommendations on YouTube
That's why we update our recommendations system all the time—we want to make sure we’re suggesting videos that people actually want to watch.
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Dungeon crawling or lucid dreaming?
I’ve done several experiments with a text-generating neural network called GPT-2. Trained at great expense by OpenAI (to the tune of tens of thousands of dollars worth of computing power), GPT-2 learned to imitate all kinds of text from the internet. I’ve interacted with the basic model, discovering its abilities to…
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Google Research Football: A Novel Reinforcement Learning Environment
Posted by Karol Kurach, Research Lead and Olivier Bachem, Research Scientist, Google Research, Zürich The goal of reinforcement learning (RL) is ...
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Google and Ambient Computing
Google presented a vision of ambient computing that goes beyond the smartphone. The company is well-placed, but faces challenges both in the marketplace and in the mirror.
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Microsoft makes AI tool for better search available as an open source project
Only a few years ago, web search was simple. Users typed a few words and waded through pages of results.
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20th Century Fox Uses ML to Predict a Movie Audience
Success in the movie industry relies on a studio’s ability to attract moviegoers—but that’s sometimes easier said than done. Moviegoers are a diverse group, with a wide variety of interests and preferences. Historically, movie studios have relied heavily on experience when deciding to invest in a particular script—but…
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V100 Server On-Prem vs. AWS P3 Instance Cost Comparison
A cost and speed comparison between the Lambda Hyperplane 8 V100 GPU Server and AWS p3 GPU instances. A very similar comparison to the DGX-1.
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Amazon SageMaker Autopilot
Update September 30, 2021 – This post has been edited to remove broken links. Today, we’re extremely happy to launch Amazon SageMaker Autopilot to automatically create the best classification and regression machine learning models, while allowing full control and visibility. In 1959, Arthur Samuel defined machine…
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Using Deep Learning to Predict the Olfactory Properties of Molecules
Posted by Alexander B Wiltschko, Senior Research Scientist, Google Research Smell is a sense shared by an incredible range of living organisms, a...
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Chip design drastically reduces energy needed to compute with light
MIT researchers have developed a “photonic” artificial intelligence (AI) accelerator that computes using light instead of electricity — and consumes relatively little power in the process — to run massive neural networks millions of times more efficiently than today’s classical computers.
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A 2019 Guide to Speech Synthesis with Deep Learning
Artificial production of human speech is known as speech synthesis. This machine learning-based technique is applicable in text-to-speech, music generation, speech generation, speech-enabled devices, navigation systems, and accessibility for visually-impaired people. In this article, we’ll look at research and model……
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Principal Component Analysis
In the previous article in this series we distinguished between two kinds of unsupervised learning (cluster analysis and dimensionality reduction) and discussed the former in some detail. In this installment we turn our attention to the later. In dimensionality reduction we seek a function $f : \mathbb{R}^n \mapsto…
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AI Update, Late 2019
It's been 7 months since my last commentary on the field, and as it became regular appearance in this blog (and in fact many people apparently enjoy this form and keep asking for it),
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Camera vs. Lidar
Company updates and technology articles from Scale AI.
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California Blocks Police Body Cam Use of Face Recognition
The state of California just made it clear: Face recognition surveillance isn’t inevitable. We can — and should — protect our communities from this dystopian technology.
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Play AI Dungeon 2. Become a Dragon. Eat the Moon
I wrote earlier about a neural net-powered dungeon crawling text adventure game called GPT-2-Adventure in which gameplay is incoherent and dreamlike, as you encounter slippery sign text, circular passages, and unexpected lozenge rooms. A PhD student named Nathan trained the neural net on classic dungeon crawling…
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Waymo: Bringing 3D perimeter Lidar to partners
Simon Verghese, Head of Lidar Team
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Random Forest vs. Neural Network
Choosing between Random Forest and Neural Network depends on the data type. Random Forest suits tabular data, while Neural Network excels with images, audio, and text data.
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