TSMC’s March revenues of $8.7 billion were up 10% m-o-m and 46.5% y-o-y. Q1 revenues of $25.5 billion were up 41.6% y-o-y
The post TSMC Q1 up 41.6% y-o-y appeared first on Electronics Weekly .
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TSMC’s March revenues of $8.7 billion were up 10% m-o-m and 46.5% y-o-y. Q1 revenues of $25.5 billion were up 41.6% y-o-y
The post TSMC Q1 up 41.6% y-o-y appeared first on Electronics Weekly .
By Steve Bush
Toshiba is aiming at UART and SPI interfaces with three four-channel dual-supply level-translator-transceivers. “The bus transceivers support level-up and level-down voltage translation from either of their dual power supplies in …
The post 4bit dual-supply logic level shifters appeared first on Electronics Weekly .
By Steve Bush
Diodes is aiming at contactless rotary motion and proximity detection with a 3D Hall-effect magnetic field sensor. Automotive applications are envisaged, include infotainment rotary and push selectors, gear shifts, door …
The post 3D Hall sensor for human-vehicle interfaces appeared first on Electronics Weekly .
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Amazon MQ is now available in two new regions, Asia Pacific (Thailand) and Mexico (Central). With this launch, Amazon MQ is now available in a total of 36 regions.
Amazon MQ is a managed message broker service for open-source Apache ActiveMQ and RabbitMQ that makes it easier to set up and operate message brokers on AWS. Amazon MQ reduces your your operational responsibilities by managing the provisioning, setup, and maintenance of message brokers for you. Because Amazon MQ connects to your current applications with industry-standard APIs and protocols, you can more easily migrate to AWS without having to rewrite code.
For more information, please visit the Amazon MQ product page , and see the AWS Region Table for complete regional availability.
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Amazon SageMaker Catalog, part of the next generation of Amazon SageMaker, now supports enhanced search capabilities with exact-match and partial-match functionality for technical identifiers such as column and table names. This feature allows users to perform precise searches by enclosing terms within a qualifier such as double quotes (” “), helping them quickly locate assets with exact or partial technical names. For example, analysts can find specific columns faster, stewards can validate assets using naming patterns like “audit_”, and engineers can identify temporary tables with prefixes like “temp_”.
Building on SageMaker Catalog’s existing keyword and semantic search, this enhancement is designed for organizations managing large-scale data catalogs with complex naming conventions. For example, searching for “customer_id” returns only those assets with an exact match, while a query like “sales_” returns assets such as sales_summary and sales_data_2024. These capabilities help users quickly locate technical assets, improve data governance by reducing errors, and enhance collaboration.
Check out the product documentation to learn more about how to set up metadata rules for subscription and publishing workflows.
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Amazon Managed Streaming for Apache Kafka (Amazon MSK) now supports Graviton3-based M7g instances for both Standard brokers and Express brokers for MSK Provisioned clusters in Middle East (UAE) AWS region.
Graviton M7G instances for Standard brokers deliver up to 24% compute cost savings and up to 29% higher write and read throughput over comparable MSK clusters running on M5 instances. When you use Graviton instance on Express brokers, you can realize even more benefits with up to 3x more throughput per broker, scale up to 20x faster, and reduce recovery time by 90% compared to standard Apache Kafka brokers.
To learn more, check out our blogs on MSK Express brokers and M7G based Standard brokers . To get started, visit the Amazon MSK console .
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Amazon Aurora PostgreSQL-Compatible Edition now supports pgvector 0.8.0, an open-source extension for PostgreSQL for storing vector embeddings in your database. pgvector provides vector similarity search capabilities that enables Aurora use in generative artificial intelligence (AI) semantic search and retrieval-augemented generation (RAG) applications. pgvector 0.8.0 includes improvements to PostgreSQL query planner’s selection of index when filters are present, which can deliver better query performance and improve search result quality.
pgvector 0.8.0 improves data filtering using conditions in WHERE clauses and joins that can improve query performance and usability. Additionally, the iterative index scans help prevent ‘overfiltering’, ensuring generation of sufficient results to satisfy the conditions of a query. If an initial index scan doesn’t satisfy the query conditions, pgvector will continue to search the index until it hits a configurable threshold. pgvector 0.8.0 also has performance improvements for searching and building HNSW indexes.
pgvector 0.8.0 is available in Amazon Aurora clusters running PostgreSQL 16.8, 15.12, 14.17, and 13.20 and higher in all AWS Regions including AWS GovCloud (US) Regions, except China. You can initiate a minor version upgrade by modifying your DB cluster. Please review the Aurora documentation to learn more.
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 .
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Today, AWS announces a new fulfillment experience for container products in AWS Marketplace, enhancing the deployment and management of container-based software from AWS Partners.
The new fulfillment experience helps to reduce complexity and improve workflow efficiency by making it easier to understand available deployment options, and providing explanations of each option’s purpose and implications. The fulfillment experience also offers readily accessible help resources, including detailed guides from AWS Marketplace sellers. The experience is available across all AWS Regions and in local languages, delivering a consistent experience worldwide.
To learn more about the new fulfillment experience for container products in AWS Marketplace and how it can benefit your organization, visit the AWS Marketplace Buyer Guide
or start exploring container products
in AWS Marketplace today.
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The latest Well-Architected Framework update is now available in the Well-Architected Tool, featuring updates and improvements for 78 new best practices that offer actionable guidance to help organizations build more secure, resilient, scalable, and sustainable workloads.
With this release, the Well-Architected Framework has refreshed 100% of each pillar, including the Reliability Pillar, with 14 of its best practices updated for the first time since major Framework improvements started in 2022.
With the refreshed AWS Well-Architected Framework, organizations can use our actionable guidance to help achieve more operable, secure, sustainable, scalable, and resilient environment and workload solutions.
The updated AWS Well-Architected Framework is available now for all AWS customers. To learn more about the AWS Well-Architected Framework, visit the AWS Well-Architected Framework documentation .
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Starting today, PartyRock is supporting an image playground that uses the Amazon Nova Canvas foundation model to transform your ideas into customizable images. You can access the image playground directly through the “Images ” section, featuring an intuitive interface and comprehensive customization options.
This new capability enhances PartyRock’s existing image generation features. While you could previously generate images using widgets in your apps, you can now also create images through the dedicated image playground. The playground offers configuration options including orientation choices (landscape, portrait, square), resolution sizes, and color guidance. The image playground comes with pre-filled prompts to help you get started, and provides suggested prompts after each generation to help refine and customize your images further.
We welcome your feedback and contributions to help shape our roadmap
as we continue to enhance PartyRock’s capabilities for improving everyday productivity. You can experiment with PartyRock using a free daily use grant, without worrying about exhausting free trial credits. To begin creating with the image playground, try PartyRock
today.