Using aligned word vectors for instant translations with Python and Rust
How to use aligned word vectors from fastText to translate words from one language to another instantly.
The latest blog posts to take off on Hacker News. 3,242 posts.
How to use aligned word vectors from fastText to translate words from one language to another instantly.
Posted by Thao Nguyen, AI Resident, Google Research A common practice to improve a neural network’s performance and tailor it to available computat...
Posted by Tim Blakely, Software Engineer and Michał Januszewski, Research Scientist, Connectomics at Google In January 2020 we released the fly “he...
To enable speech recognition technology for many more languages spoken around the globe, Facebook AI is releasing wav2vec Unsupervised, a new method to train models with no supervision whatsoever. Wav2vec Unsupervised rivals the performance of the best supervised systems from just a few years ago.
Our latest AI milestone, Multitask Unified Model, has the potential to take Google’s information understanding to a new level.
Google is unveiling a new Quantum AI campus in Santa Barbara, California.
LaMDA adds pieces to one of the most tantalizing sections of the language puzzle: conversation.
Photos are among the most common types of files in Dropbox, but searching for them by filename is even less productive than it is for text-based files. When you're looking for that photo from a picnic a few years ago, you surely don't remember that the filename set by your camera was 2017-07-04 12.37.54.jpg .
Modern AI systems approach tasks like recognising objects in images and predicting the 3D structure of proteins as a diligent student would prepare for an exam. By training on many example problems, they minimise their mistakes over time until they achieve success. But this is a solitary endeavour and only one of the…
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Posted by John D. Co-Reyes, Research Intern and Yingjie Miao, Senior Software Engineer, Google Research A long-term, overarching goal of research i...
If social media is any indication, OpenCV AI Competition 2021 participants have really hit the ground running. The competition, sponsored by Microsoft Azure and Intel, features over 1000 developers on over 200 Phase 1 winning teams worldwide and our feeds are already buzzing with awesome videos and photos as teams…
Neurons might contain something incredible within them.
Deep and machine learning (ML) frameworks are good at what they do, but altering their underlying code is typically difficult. Flashlight is a new open source library written entirely in C++ that enables teams to rapidly modify frameworks to fit their needs. Read more:
For years, a Python developer who needed a GPU had two realistic choices: Learn NVIDIA CUDA C++ well enough to write an extension, set up a build toolchain, and maintain bindings back to Python…
Posted by Cassidy Curtis, Visual Designer and David Salesin, Principal Scientist, Google Research 3D computer animation is a time-consuming and hig...
Get the latest on neurotech directly from our experts. Check out the Neuralink blog for news, insights, and behind-the-scenes looks at our work.
Here's a snapshot of how we're using AI to make Maps work better for you with a number of updates coming this year.
Posted by Ji Hun Kim and Richard Wu, Software Engineers, Stadia Over the years, online multiplayer games have exploded in popularity, captivating m...
A machine learning AI-esque robot challenges off on 156 trivia questions against tens of thousands of Water Cooler Trivia participants.
How can we build machines with human-level intelligence? There’s a limit to how far the field of AI can go with supervised learning alone. Here's why self-supervised learning is one of the most promising ways to make significant progress in AI.
We’ve discovered neurons in CLIP that respond to the same concept whether presented literally, symbolically, or conceptually. This may explain CLIP’s accuracy in classifying surprising visual renditions of concepts, and is also an important step toward understanding the associations and biases that CLIP and similar…
A digital twin of our planet is to simulate the Earth system in future. It is intended to support policy-makers in taking appropriate measures to better prepare for extreme events. A new strategy paper by European scientists and ETH Zurich computer scientists shows how this can be achieved.
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