Magnetic sensors track muscle length
Researchers demonstrated a magnet-based system that can track the location of muscles and could be used to help people control prosthetic limbs and other wearable robotic devices. Read More
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Google at ECCV 2022
Posted by Shaina Mehta, Program Manager, Google Google is proud to be a Platinum Sponsor of the European Conference on Computer Vision (ECCV 2022), a premier forum for the dissemination of research in computer vision and machine learning (ML). This…
A broader definition of learning could help stimulate interdisciplinary research
By embracing a broader definition of learning that includes any behavioral adaption developed in response to regular features of an environment, researchers could better collaborate across the fields of psychology, computer science, sociology, and genetics, according to a new Perspectives…
Scared of injections? Try a wearable soft robot to ease aversion to needles
Researchers have shown that pain experienced by patients during medical treatments can be considerably alleviated by holding and experiencing the motions of a soft furry robot. Based on measures of pain, fear, and biomarker collection, the researchers believe that the…
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…
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…
Digital transformation with Google Cloud
We’ve partnered with Google Cloud over the last few years to apply our AI research for making a positive impact on core solutions used by their customers. Here, we introduce a few of these projects, including optimising document understanding, enhancing…
Do Modern ImageNet Classifiers Accurately Predict Perceptual Similarity?
Posted by Manoj Kumar, Research Engineer, and Ekin Dogus Cubuk, Research Scientist, Google Research The task of determining the similarity between images is an open problem in computer vision and is crucial for evaluating the realism of machine-generated images. Though…
Table Tennis: A Research Platform for Agile Robotics
Posted by Avi Singh, Research Scientist, and Laura Graesser, Research Engineer, Robotics at Google Robot learning has been applied to a wide range of challenging real world tasks, including dexterous manipulation, legged locomotion, and grasping. It is less common to…
Artificial intelligence answers the call for quail information
When states want to gauge quail populations, the process can be grueling, time-consuming and expensive. It means spending hours in the field listening for calls. Or leaving a recording device in the field to catch what sounds are made —…