Category: FAANG

Cloud Bigtable is a highly scalable, fully managed NoSQL database service that offers single-digit millisecond latency and an availability SLA up to 99.999%. It is a good choice for applications that require high throughput and low latency, such as real-time analytics, gaming, and telecommunications. Cloud Bigtable change streams is a feature that allows you to …

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Posted by Shantanu Shahane, Software Engineer, and Matthias Ihme, Research Scientist, Athena Team Turbulence is ubiquitous in environmental and engineering fluid flows, and is encountered routinely in everyday life. A better understanding of these turbulent processes could provide valuable insights across a variety of research areas — improving the prediction of cloud formation by atmospheric …

Read more “A novel computational fluid dynamics framework for turbulent flow research”

Posted by Shantanu Shahane, Software Engineer, and Matthias Ihme, Research Scientist, Athena Team Turbulence is ubiquitous in environmental and engineering fluid flows, and is encountered routinely in everyday life. A better understanding of these turbulent processes could provide valuable insights across a variety of research areas — improving the prediction of cloud formation by atmospheric …

Read more “A novel computational fluid dynamics framework for turbulent flow research”

Efficient control policies enable industrial companies to increase their profitability by maximizing productivity while reducing unscheduled downtime and energy consumption. Finding optimal control policies is a complex task because physical systems, such as chemical reactors and wind turbines, are often hard to model and because drift in process dynamics can cause performance to deteriorate over …

Read more “Optimize equipment performance with historical data, Ray, and Amazon SageMaker”

Posted by Si-An Chen, Student Researcher, Cloud AI Team, and Chun-Liang Li, Research Scientist, Cloud AI Team Time series forecasting is critical to various real-world applications, from demand forecasting to pandemic spread prediction. In multivariate time series forecasting (forecasting multiple variants at the same time), one can split existing methods into two categories: univariate models …

Read more “TSMixer: An all-MLP architecture for time series forecasting”

Posted by Si-An Chen, Student Researcher, Cloud AI Team, and Chun-Liang Li, Research Scientist, Cloud AI Team Time series forecasting is critical to various real-world applications, from demand forecasting to pandemic spread prediction. In multivariate time series forecasting (forecasting multiple variants at the same time), one can split existing methods into two categories: univariate models …

Read more “TSMixer: An all-MLP architecture for time series forecasting”

Generative AI is a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music. It’s powered by large language models (LLMs) that are pre-trained on vast amounts of data and commonly referred to as foundation models (FMs). With the advent of these LLMs or FMs, customers can simply …

Read more “Build a secure enterprise application with Generative AI and RAG using Amazon SageMaker JumpStart”