I want to introduce you to the second season of my podcast, Making of the SRE Omelette. This season explores achieving our sustainability goals via the practice of Site Reliability Engineering. “Culture is the outcome of what we do. In the context of The Chicken or The Egg, it is like an Omelette.” – Kareem …
In the world of machine learning (ML), the quality of the dataset is of significant importance to model predictability. Although more data is usually better, large datasets with a high number of features can sometimes lead to non-optimal model performance due to the curse of dimensionality. Analysts can spend a significant amount of time transforming …
Read more “Amazon SageMaker Data Wrangler for dimensionality reduction”
Cloud security teams need expert guidance to protect against an increasing number of threats, and to help pinpoint where they are most at risk. They also need to make security issues understandable so that non-security specialists can help keep their organization safe. To meet both requirements, we will integrate Google Cloud Security AI Workbench with …
Read more “Introducing AI-powered risk summaries in Security Command Center”
Posted by Malaya Jules, Program Manager, Google This week, the Conference on Human Factors in Computing Systems (CHI 2023) is being held in Hamburg, Germany. We are proud to be a Hero Sponsor of CHI 2023, a premier conference on human-computer interaction, where Google researchers contribute at all levels. This year we are presenting over …
In Texas, 2022 was one of the driest years on record. With failed crops, low yields for farmers and diminished grazing for cattle, the Texas Department of Agriculture identified climate change as a potential threat to the state’s food supply. Smallholder farmers, particularly those in arid and drought-prone regions, struggle to manage their farms because …
Read more “IBM and Texas A&M AgriLife provide data, technology and expertise to farmers in need”
Posted by Ruofei Du, Interactive Perception & Graphics Lead, Google Augmented Reality, and Na Li, Tech Lead Manager, Google CoreML Recent deep learning advances have enabled a plethora of high-performance, real-time multimedia applications based on machine learning (ML), such as human body segmentation for video and teleconferencing, depth estimation for 3D reconstruction, hand and body …
Read more “Visual Blocks for ML: Accelerating machine learning prototyping with interactive tools”
Batch inference is a common pattern where prediction requests are batched together on input, a job runs to process those requests against a trained model, and the output includes batch prediction responses that can then be consumed by other applications or business functions. Running batch use cases in production environments requires a repeatable process for …
Read more “Create SageMaker Pipelines for training, consuming and monitoring your batch use cases”
One of the core aspects of recommendation systems is finding similarities among the candidates and the anchor search items. For example, If you just read an article, you might be interested in other articles that are similar; a recommendation system can help you find those articles. Recommendation systems can also improve the user experience, increase …
Read more “Recommending news articles using Vertex AI Matching Engine”
From climate modeling to endangered species conservation, developers, researchers and companies are keeping an AI on the environment with the help of NVIDIA technology. They’re using NVIDIA GPUs and software to track endangered African black rhinos, forecast the availability of solar energy in the U.K., build detailed climate models and monitor environmental disasters from satellite …
Read more “On Earth Day, 5 Ways AI, Accelerated Computing Are Protecting the Planet”
DeepMind and the Brain team from Google Research will join forces to accelerate progress towards a world in which AI helps solve the biggest challenges facing humanity.