The European Commission is proposing the development of a European air shield and European space shield as part of a new defence roadmap. The executive branch of the EU has …

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A multi-domain passive module with functionality embedded in the substrate has been developed by Saras Micro Devices. The Saras Tile, or STILE, enables power regulation from system board to package. …

The post Stacking packaging for power modules appeared first on Electronics Weekly .

ChangXin Memory Technologies (CXMT), the China DRAM company, is planning an IPO on the Shanghai exchange in H1 2026 at a valuation of $42 billion, reports Reuters. The company hopes …

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Axelera AI, the Dutch provider of purpose-built AI hardware acceleration technology, has announced Europa – an AI processor unit (AIPU) that claims to set a new performance/price standard for multi-user …

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Renesas has introduced 1GHz Arm Cortex-M85 microcontrollers, with or without a 250MHz Cortex-M33 co-processor. “The new MCUs deliver 7,300 Coremarks of compute performance. The optional Cortex-M33 core can act as …

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The Opta X300 deposition tool was introduced at Semicon West, marking the Von Ardenne’s entry into the US market. The Opta X300 is purpose-built for high precsion, double-side deposition to …

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Amazon Bedrock Data Automation (BDA) now supports AVI, MKV, and WEBM file formats along with the AV1 and MPEG-4 Visual (Part 2) codecs, enabling you to generate structured insights across a broader range of video content. Additionally, BDA delivers up to 50% faster image processing.

BDA automates the generation of insights from unstructured multimodal content such as documents, images, audio, and videos for your GenAI-powered applications. With support for AVI, MKV, and WEBM formats, you can now analyze content from archival footage, high-quality video archives with multiple audio tracks and subtitles, and web-based and open-source video content. This expanded video format and codec support enables you to process video content directly in the formats your organization uses, streamlining your workflows and accelerating time-to-insight. With faster image processing on BDA, you you can extract insights from visual content faster than ever before. You can now analyze larger volumes of images in less time, helping you scale your AI applications and deliver value to your customers more quickly.

Amazon Bedrock Data Automation is available in 8 AWS regions: Europe (Frankfurt), Europe (London), Europe (Ireland), Asia Pacific (Mumbai), Asia Pacific (Sydney), US West (Oregon) and US East (N. Virginia), and GovCloud (US-West) AWS Regions.

To learn more, see the Bedrock Data Automation User Guide and the Amazon Bedrock Pricing page. To get started with using Bedrock Data Automation, visit the Amazon Bedrock console .

Amazon Elastic Container Service (Amazon ECS) now supports AWS CloudTrail data events, providing detailed visibility into Amazon ECS Agent API activities. This new capability enables customers to monitor, audit, and troubleshoot container instance operations.

With CloudTrail data event support, security and operations teams can now maintain comprehensive audit trails of ECS Agent API activities, detect unusual access patterns, and troubleshoot agent communication issues more effectively. Customers can opt in to receive detailed logging through the new data event resource type AWS::ECS::ContainerInstance for ECS agent activities, including when the ECS agent polls for work (ecs:Poll), starts telemetry sessions (ecs:StartTelemetrySession), and submits ECS Managed Instances logs (ecs:PutSystemLogEvents). This enhanced visibility enables teams to better understand how container instance roles are utilized, meet compliance requirements for API activity monitoring, and quickly diagnose operational issues related to agent communications.

This new feature is available for Amazon ECS on EC2 in all AWS Regions and ECS Managed Instances in select regions . Standard CloudTrail data event charges apply. To learn more, visit the Developer Guide .

Amazon Connect can now automatically initiate follow-up evaluations to analyze specific situations identified during initial evaluations. For example, when an initial customer service evaluation detects customer interest in a product, Amazon Connect can automatically trigger a follow-up evaluation focused on the agent’s sales performance. This enables managers to maintain consistent evaluation standards across agent cohorts and over time, while capturing deeper insights on specific scenarios such as sales opportunities, escalations, and other critical interaction moments.

This feature is available in all regions where Amazon Connect is offered. To learn more, please visit our documentation and our webpage . 

Amazon CloudWatch Database Insights expands the availability of its on-demand analysis experience to the RDS for SQL Server database engine. CloudWatch Database Insights is a monitoring and diagnostics solution that helps database administrators and developers optimize database performance by providing comprehensive visibility into database metrics, query analysis, and resource utilization patterns. This feature leverages machine learning models to help identify performance bottlenecks during the selected time period, and gives advice on what to do next.

Previously, database administrators had to manually analyze performance data, correlate metrics, and investigate root cause. This process is time-consuming and requires deep database expertise. With this launch, you can now analyze database performance monitoring data for any time period with automated intelligence. The feature automatically compares your selected time period against normal baseline performance, identifies anomalies, and provides specific remediation advice. Through intuitive visualizations and clear explanations, you can quickly identify performance issues and receive step-by-step guidance for resolution. This automated analysis and recommendation system reduces mean-time-to-diagnosis from hours to minutes.

You can get started with this feature by enabling the Advanced mode of CloudWatch Database Insights on your RDS for SQL Server databases using the RDS service console, AWS APIs, the AWS SDK, or AWS CloudFormation. Please refer to RDS documentation and Aurora documentation for information regarding the availability of Database Insights across different regions, engines and instance classes.