In 2017 three Harvard Business School professors came up with the The Harvard Bubble Test of whether a company’s stock is in bubble territory . The three tests for a …

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A trend is emerging of UK politicos tucking into the West Coast AI wonga-fest, Ed confides to his diary, and I want my share of it while it lasts. With …

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Q3 datacentre capex increased 59% YoY marking the eighth consecutive quarter of double-digit growth as the AI investment cycle continues, reports Dell’Oro. “The Top 4 US cloud service providers—Amazon, Google, …

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The Power SiC market continues its transformation. Following an unprecedented investment wave between 2019 and 2024, the industry is now entering a correction cycle, says Yole Group. The slowdown in …

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The QORVO QPC4510 is a K-Band image reject upconverter mixer with integrated x2 LO buffer amplifier and output variable gain amplifier. The QPC4510 outputs an RF frequency from 17.7GHz to …

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Amazon Bedrock Data Automation (BDA) now supports blueprint instruction optimization, enabling you to improve the accuracy of your custom field extraction using just a few example document assets with ground truth labels. BDA automates the generation of insights from unstructured multimodal content such as documents, images, audio, and videos for your GenAI-powered applications. Blueprint instruction optimization automatically refines the natural language instructions in your blueprints, helping you achieve production-ready accuracy in minutes without model training or fine-tuning.

With blueprint instruction optimization, you can now bring up to 10 representative document assets from your production workload and provide the correct, expected values for each field. Blueprint instruction optimization analyzes the differences between your expected results and the Data Automation inference results, and then refines the natural language instructions to improve extraction accuracy across your examples. For your intelligent document processing applications, you can now improve the accuracy of extracting insights such as invoice line items, contract terms, tax form fields, or medical billing codes. After optimization completes, you receive detailed evaluation metrics including exact match rates and F1 scores measured against your ground truth, giving you confidence that your blueprint is ready for production deployment.

Data Automation blueprint instruction optimization for documents is available in all AWS Regions where Amazon Bedrock Data Automation is supported.

To learn more, see the Bedrock Data Automation User Guide and the Amazon Bedrock Pricing page. To get started with blueprint instruction optimization, navigate to your blueprint in the Amazon Bedrock console , go to Data Automation, select your custom outputs for documents, and select Start Optimization. 

Amazon Aurora PostgreSQL-Compatible Edition has added support for PostgreSQL versions 17.7, 16.11, 15.15, 14.20 and 13.23. The update includes the PostgreSQL community’s product improvements and bug fixes, and also includes Aurora-specific enhancements.

The release includes improvements to Blue Green deployments, resulting in reduced switchover times by limiting new commits on the primary instance. There are also enhancements to Query Plan Management (QPM), and improved instance recovery times by optimizing commit log loading during database recovery.

To use the new versions, create a new Aurora PostgreSQL-compatible database with just a few clicks in the Amazon RDS Management Console. You can also upgrade your existing database. Please review the Aurora documentation to learn more about upgrading. Refer to the Aurora version policy to help you to decide how often to upgrade and how to plan your upgrade process. These releases are available in all commercial AWS Regions and the AWS GovCloud (US) Regions.

Amazon Aurora is designed for unparalleled high performance and availability at global scale with full MySQL and PostgreSQL compatibility. It provides built-in security, continuous backups, serverless compute, up to 15 read replicas, automated multi-Region replication, and integrations with other AWS services. To get started with Amazon Aurora, take a look at our getting started page .

Amazon Elastic Container Registry (ECR) now supports automatic repository creation on image push. This new capability simplifies container workflows by having ECR automatically create repositories if they don’t exist when an image is pushed, without customers having to pre-create repositories before pushing container images. Now when customers push images, ECR will automatically create repositories according to defined repository creation template settings.

Create on push is available in all AWS commercial and AWS GovCloud (US) Regions. To learn more about repository creation templates, please visit our documentation . You can learn more about storing, managing and deploying container images and artifacts with Amazon ECR, including how to get started, from our product page and user guide .

AWS announces Cost Allocation tags support for account tags across AWS Cost Management products, enabling customers with multiple member accounts to utilize their existing AWS Organizations account tags directly in cost management tools. Account tags are applied at the account level in AWS Organizations and automatically apply to all metered usage within tagged accounts, eliminating the need to manually configure and maintain separate account groupings in AWS Cost Explorer, Cost and Usage Reports, AWS Budgets, and Cost Categories.

With account tag support, customers can analyze costs by account tag directly in Cost Explorer and Cost and Usage Reports (CUR 2.0 and FOCUS). Customers can set up AWS Budgets and AWS Cost Anomaly Detection alerts on groups of accounts without configuring lists of account IDs. Customers can also build complex cost categories on top of account tags for further categorization. Account tags enable cost allocation for untaggable resources including refunds, credits, and certain service charges that cannot be tagged at the resource level. When new accounts join the organization or existing accounts are removed, customers simply add or update relevant tags, and the changes automatically apply across all cost management products. To get started, customers apply tags to accounts in the AWS Organizations console, then activate those account tags from the Cost Allocation Tags page in the Billing and Cost Management console. This feature is generally available in all AWS Regions, excluding GovCloud (US) Regions and China (Beijing) and China (Ningxia) Regions.

To learn more, see organizing and tracking costs using AWS cost allocation tags .

Amazon Timestream for InfluxDB now offers a restart API for both InfluxDB versions 2 and 3. This new capability enables customers to trigger system restarts on their database instances directly through the AWS Management Console, API, or CLI, to streamline operational management of their time-series database environments.

With the restart API, customers can perform resilience testing to validate their application’s behavior during database restarts and address health-related issues without requiring support intervention. This feature enhances operational flexibility for DevOps teams managing mission-critical workloads, allowing them to implement more comprehensive testing strategies and respond faster to performance concerns by providing direct control over database instance lifecycle operations.

Amazon Timestream for InfluxDB restart capability is available in all Regions where Timestream for InfluxDB is offered.

To get started with Amazon Timestream for InfluxDB 3, visit the Amazon Timestream for InfluxDB console . For more information, see the Amazon Timestream for InfluxDB documentation and pricing page .