Tentacle robot can gently grasp fragile objects

If you’ve ever played the claw game at an arcade, you know how hard it is to grab and hold onto objects using robotics grippers. Imagine how much more nerve-wracking that game would be if, instead of plush stuffed animals, you were trying to grab a fragile piece of endangered coral or a priceless artifact …

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Ensuring the Resettling and Safeguarding of Refugees Fleeing the War in Ukraine

An estimated 12 million people have fled their homes since Russia’s brutal invasion of Ukraine began, according to the United Nations — resulting in one of the largest humanitarian catastrophes since the Second World War. With countries in Europe and beyond stepping up to come to the assistance of Ukraine and those displaced, the UK government launched …

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PI-ARS: Accelerating Evolution-Learned Visual-Locomotion with Predictive Information Representations

Posted by Wenhao Yu, Research Scientist, Robotics at Google, and Kuang-Huei Lee, Research Engineer, Google Research, Brain team Evolution strategy (ES) is a family of optimization techniques inspired by the ideas of natural selection: a population of candidate solutions are usually evolved over generations to better adapt to an optimization objective. ES has been applied …

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MUSIQ: Assessing Image Aesthetic and Technical Quality with Multi-scale Transformers

Posted by Junjie Ke, Senior Software Engineer, and Feng Yang, Senior Staff Software Engineer, Google Research Understanding the aesthetic and technical quality of images is important for providing a better user visual experience. Image quality assessment (IQA) uses models to build a bridge between an image and a user’s subjective perception of its quality. In …

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Create synthetic data for computer vision pipelines on AWS

Collecting and annotating image data is one of the most resource-intensive tasks on any computer vision project. It can take months at a time to fully collect, analyze, and experiment with image streams at the level you need in order to compete in the current marketplace. Even after you’ve successfully collected data, you still have …

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Enable CI/CD of multi-Region Amazon SageMaker endpoints

Amazon SageMaker and SageMaker inference endpoints provide a capability of training and deploying your AI and machine learning (ML) workloads. With inference endpoints, you can deploy your models for real-time or batch inference. The endpoints support various types of ML models hosted using AWS Deep Learning Containers or your own containers with custom AI/ML algorithms. …