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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 ...
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 153 posts.
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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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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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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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A guide to OCR with Tesseract, OpenCV and Python
Dive deep into OCR with Tesseract, including Pytesseract integration, training with custom data, limitations, and comparisons with enterprise solutions.
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SpaCy v2.2
Version 2.2 of the spaCy Natural Language Processing library is leaner, cleaner and even more user-friendly. In addition to new model packages and features for training, evaluation and serialization, we've made lots of bug fixes, improved debugging and error handling, and greatly reduced the size of the library on…
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Neural nets typically contain smaller “subnetworks” that can often learn faster
MIT CSAIL's "Lottery ticket hypothesis" finds that neural networks typically contain smaller subnetworks that can be trained to make equally accurate predictions, and often much more quickly.
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FastMRI initiative releases neuroimaging data set
As part of the fastMRI research project to use AI to speed up MRI scans, NYU Langone Health is making a new dataset of de-identified brain MRIs available to researchers and Facebook AI is sharing additional tools and resources.
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A Predictive Database
What is a predictive database? A database that lets you query predictions from structured tabular data with no model training step. Learn how predictive databases work, when to use them, and how they compare to traditional ML.
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Building AI that can master complex cooperative games with hidden information
To advance research on AI that can understand others’ points of view and collaborate effectively, Facebook AI has developed a bot that sets a new state of the art in Hanabi, a card game in which all players work together.
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Language, trees, and geometry in neural networks
Language is made of discrete structures, yet neural networks operate on continuous data: vectors in high-dimensional space. A successful language-processing network must translate this symbolic information into some kind of geometric representation—but in what form? Word embeddings provide two well-known examples…
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Mayo Clinic to partner with Google
Google Cloud will be at the cornerstone of Mayo Clinic’s digital transformation as it looks to the cloud to enhance patient and clinician experiences, improve diagnostics and patient outcomes, and expand its unparalleled clinical research.