AWS FeedScaling Neuroscience Research on AWS HHMI’s Janelia Research Campus in Ashburn, Virginia has an integrated team of lab scientists and tool-builders who pursue a small number of scientific questions with potential for transformative impact. To drive science forward, we share our methods, results, and tools with the scientific community. Introduction Our neuroscience research application…
AWS FeedBuilding secure machine learning environments with Amazon SageMaker As businesses and IT leaders look to accelerate the adoption of machine learning (ML) and artificial intelligence (AI), there is a growing need to understand how to build secure and compliant ML environments that meet enterprise requirements. One major challenge you may face is integrating ML…
AWS FeedMitigate data leakage through the use of AppStream 2.0 and end-to-end auditing Customers want to use AWS services to operate on their most sensitive data, but they want to make sure that only the right people have access to that data. Even when the right people are accessing data, customers want to account for…
AWS FeedAmazon VPC Traffic Mirroring is now supported on select non-Nitro instance types Amazon Virtual Private Cloud (Amazon VPC) Traffic Mirroring is now supported on additional select non-Nitro instance types. Amazon VPC Traffic Mirroring allows you to replicate the network traffic from EC2 instances within your VPC to security and monitoring appliances for use cases…
AWS FeedNew AWS Partner Report Highlights Importance of Balancing Growth and Profitability By Liz Melton, Sr. Product Manager at AWS In 2020, Amazon Web Services (AWS) commissioned 451 Research, part of S&P Global Market Intelligence, to conduct a study of global AWS Systems Integrator (SI) Partners focused on profitability. As a result, the new AWS…
AWS FeedRunning multiple HPO jobs in parallel on Amazon SageMaker The ability to rapidly iterate and train machine learning (ML) models is key to deriving business value from ML workloads. Because ML models often have many tunable parameters (known as hyperparameters) that can influence the model’s ability to effectively learn, data scientists often use a…