Google AI Blog - RSS Feed

The latest news from Google AI.

Latest articles

Quantum Machine Learning and the Power of Data

Posted by Jarrod McClean, Staff Research Scientist and Hsin-Yuan (Robert) Huang1, Intern, Google Quantum AI Quantum computing has rapidly advanced in both theory and practice in recent years, and with it the hope for the potential impact in real applications. One key area of interest is how quantum computers might affect machine learning. We recently...

Google at CVPR 2021

Posted by Emily Knapp and Tim Herrmann, Program Managers This week marks the start of the 2021 Conference on Computer Vision and Pattern Recognition (CVPR 2021), the premier annual computer vision event consisting of the main conference, workshops and tutorials. As a leader in computer vision research and a Champion Level Sponsor, Google will have a...

Learning an Accurate Physics Simulator via Adversarial Reinforcement Learning

Yifeng Jiang, Research Intern and Jie Tan, Research Scientist, Robotics at Google Simulation empowers various engineering disciplines to quickly prototype with minimal human effort. In robotics, physics simulations provide a safe and inexpensive virtual playground for robots to acquire physical skills with techniques such as deep reinforcement learning...

A Step Toward More Inclusive People Annotations in the Open Images Extended Dataset

Posted by Candice Schumann and Susanna Ricco, Software Engineers, Google Research In 2016, we introduced Open Images, a collaborative release of ~9 million images annotated with image labels spanning thousands of object categories and bounding box annotations for 600 classes. Since then, we have made several updates, including the release of crowdsourced...

The Importance of A/B Testing in Robotics

Arnab Bose and Yuheng Kuang, Staff Software Engineers, Robotics at Google Disciplines in the natural sciences, social sciences, and medicine all have to grapple with how to evaluate and compare results within the context of the continually changing real world. In contrast, a significant body of machine learning (ML) research uses a different method...

FRILL: On-Device Speech Representations using TensorFlow-Lite

Posted by Joel Shor, Software Engineer, Google Research, Tokyo and Sachin Joglekar, Software Engineer, TensorFlow Representation learning is a machine learning (ML) method that trains a model to identify salient features that can be applied to a variety of downstream tasks, ranging from natural language processing (e.g., BERT and ALBERT) to image analysis...

Using Variational Transformer Networks to Automate Document Layout Design

Posted by Diego Martin Arroyo, Software Engineer and Federico Tombari, Research Scientist, Google Research Information in a written document is not only conveyed by the meaning of the words contained in it, but also by the overall document layout. Layouts are commonly used to direct the order in which the reader parses a document to enable a better...

Extending Contrastive Learning to the Supervised Setting

Posted by AJ Maschinot, Senior Software Engineer and Jenny Huang, Product Manager, Google Research In recent years, self-supervised representation learning, which is used in a variety of image and video tasks, has significantly advanced due to the application of contrastive learning. These contrastive learning approaches typically teach a model to pull...

Data Cascades in Machine Learning

Nithya Sambasivan, Research Scientist, Google Research Data is a foundational aspect of machine learning (ML) that can impact performance, fairness, robustness, and scalability of ML systems. Paradoxically, while building ML models is often highly prioritized, the work related to data itself is often the least prioritized aspect. This data work can...

Toward Generalized Sim-to-Real Transfer for Robot Learning

Daniel Ho, Software Engineer, The Everyday Robot Project and Kanishka Rao, Staff Software Engineer, Robotics at Google Reinforcement and imitation learning methods in robotics research can enable autonomous environmental navigation and efficient object manipulation, which in turn opens up a breadth of useful real-life applications. Previous work has...

Discover, share and read the best on the web

Subscribe to RSS Feeds, Blogs, Podcasts, Twitter searches, Facebook pages, even Email Newsletters! Get unfiltered news feeds or filter them to your liking.

Get Inoreader
Inoreader - Subscribe to RSS Feeds, Blogs, Podcasts, Twitter searches, Facebook pages, even Email Newsletters!