The abundance of wrist-worn heart rate measuring devices enables long term cardiovascular monitoring through photoplethysmography (PPG). Such signals contain unique identifiable information that can help in biometric authentication. In this work, we propose Fusion-ID, which use wrist-worn PPG sensors fused with motion sensor data as a way to do bio authentication on wrist worn devices. …
In this post, we introduce a new analysis in the Data Quality and Insights Report of Amazon SageMaker Data Wrangler. This analysis assists you in validating textual features for correctness and uncovering invalid rows for repair or omission. Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from …
Read more “Detect patterns in text data with Amazon SageMaker Data Wrangler”
In the past decade, we have seen Deep learning (DL) science adopted at a tremendous pace by AWS customers. The plentiful and jointly trained parameters of DL models have a large representational capacity that brought improvements in numerous customer use cases, including image and speech analysis, natural language processing (NLP), time series processing, and more. …
Read more “Reduce deep learning training time and cost with MosaicML Composer on AWS”
Sensor AI solutions specialist SenSen has turned to the NVIDIA Jetson edge AI platform to help regulators track heavy vehicles moving across Australia. Australia’s National Heavy Vehicle Regulator, or NHVR, has a big job — ensuring the safety of truck drivers across some of the world’s most sparsely populated regions. They’re now harnessing AI to …
Read more “Keep On Trucking: SenSen Harnesses Drones, NVIDIA Jetson, Metropolis to Inspect Trucks”
When two technologies converge, they can create something new and wonderful — like cellphones and browsers were fused to forge smartphones. Today, developers are applying AI’s ability to find patterns to massive graph databases that store information about relationships among data points of all sorts. Together they produce a powerful new tool called graph neural …
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 year, ECCV 2022 will be held as a hybrid event, in person in Tel Aviv, …
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 …
Read more “Ensuring the Resettling and Safeguarding of Refugees Fleeing the War in Ukraine”
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 …
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 …
Read more “MUSIQ: Assessing Image Aesthetic and Technical Quality with Multi-scale Transformers”
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 …
Read more “Create synthetic data for computer vision pipelines on AWS”