Category: FAANG

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”

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. …

Read more “Enable CI/CD of multi-Region Amazon SageMaker endpoints”

There’s a lot of talk about the positive impact that machine learning can have on our lives as citizens and consumers. But did you know that it can reduce complexity and toil for cloud administrators? Google Cloud Active Assist uses data, intelligence, and ML to optimize the security, performance, and cost of your cloud environment. …

Read more “How ML-fueled recommendations help developers optimize security, price-performance, and carbon reduction”

We’ve all been there— asking a voice assistant to play a song, launch an app, or answer a question, but the assistant doesn’t comply. Maybe it’s a network outage, or maybe you’re in the middle of nowhere, far away from coverage—either way the result is the same: the voice assistant can’t connect to the server …

Read more “Run Google Cloud Speech AI locally, no internet connection required”

(An English-language version of this post can be read here.) Nota del editor: Este es el tercer post de Palantir Explained, una serie que explora una selección de temas, incluido nuestro enfoque hacia la privacidad, la seguridad, y la seguridad de la IA/ML, entre otros. Las entradas anteriores exploran nuestro modelo de negocio y los controles …

Read more “Más que anonimizar (Explicando Palantir, #3)”

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 there are a number of straightforward methods of estimating image similarity (e.g., low-level metrics that …

Read more “Do Modern ImageNet Classifiers Accurately Predict Perceptual Similarity?”

Businesses can lose billions of dollars each year due to malicious users and fraudulent transactions. As more and more business operations move online, fraud and abuses in online systems are also on the rise. To combat online fraud, many businesses have been using rule-based fraud detection systems. However, traditional fraud detection systems rely on a …

Read more “Detect fraudulent transactions using machine learning with Amazon SageMaker”

R is a popular analytic programming language used by data scientists and analysts to perform data processing, conduct statistical analyses, create data visualizations, and build machine learning (ML) models. RStudio, the integrated development environment for R, provides open-source tools and enterprise-ready professional software for teams to develop and share their work across their organization Building, …

Read more “Implement RStudio on your AWS environment and access your data lake using AWS Lake Formation permissions”

As machine learning (ML) goes mainstream and gains wider adoption, ML-powered applications are becoming increasingly common to solve a range of complex business problems. The solution to these complex business problems often requires using multiple ML models. These models can be sequentially combined to perform various tasks, such as preprocessing, data transformation, model selection, inference …

Read more “Design patterns for serial inference on Amazon SageMaker”