Mouser has signed a global distribution agreement with Northern Technologies, a division of the EDAC Group. Northern Technologies is a  designer and manufacturer of  shielding products for the data communications …

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Weidmuller has introduced a wire cutting and stripping attachment that slides onto any uninsulated screwdriver with a 3.5mm diameter shaft “so panel builders and machine builders can start working immediately in …

The post Wiring: cut it, strip it, fix it appeared first on Electronics Weekly .

Yesterday, Qualcomm launched two AI inference accelerator cards and racks to compete with Nvidia. The AI200 and AI250 claim to offer rack-scale performance and superior memory capacity for fast generative …

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Amazon Redshift Serverless , which allows you to run and scale analytics without having to provision and manage data warehouse clusters, is now generally available in the AWS Asia Pacific (Osaka) and Asia Pacific (Malaysia) regions. With Amazon Redshift Serverless, all users, including data analysts, developers, and data scientists, can use Amazon Redshift to get insights from data in seconds. Amazon Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver high performance for all your analytics. You only pay for the compute used for the duration of the workloads on a per-second basis. You can benefit from this simplicity without making any changes to your existing analytics and business intelligence applications.

With a few clicks in the AWS Management Console, you can get started with querying data using the Query Editor V2 or your tool of choice with Amazon Redshift Serverless. There is no need to choose node types, node count, workload management, scaling, and other manual configurations. You can create databases, schemas, and tables, and load your own data from Amazon S3, access data using Amazon Redshift data shares, or restore an existing Amazon Redshift provisioned cluster snapshot. With Amazon Redshift Serverless, you can directly query data in open formats, such as Apache Parquet, in Amazon S3 data lakes. Amazon Redshift Serverless provides unified billing for queries on any of these data sources, helping you efficiently monitor and manage costs.

To get started, see the Amazon Redshift Serverless feature page , user documentation , and API Reference .

Amazon SageMaker enhances search results in Amazon SageMaker Unified Studio with additional context that improves transparency and interpretability. Users can see which metadata fields matched their query and understand why each result appears, increasing clarity and trust in data discovery. The capability introduces inline highlighting for matched terms and an explanation panel that details where and how each match occurred across metadata fields such as name, description, glossary, schema, and other metadata.

The enhancement reduces time spent evaluating irrelevant assets by presenting match evidence directly in search results. Users can quickly validate relevance without opening individual assets.

This capability is now available in all AWS Regions where Amazon SageMaker is supported.

To learn more about Amazon SageMaker, see Amazon SageMaker documentaion . 

Amazon Elastic Container Service (Amazon ECS) Managed Instances is now available in all commercial AWS Regions . ECS Managed Instances is a fully managed compute option designed to eliminate infrastructure management overhead while giving you access to the full capabilities of Amazon EC2. By offloading infrastructure operations to AWS, you get the application performance you want and the simplicity you need while reducing your total cost of ownership.

Managed Instances dynamically scales EC2 instances to match your workload requirements and continuously optimizes task placement to reduce infrastructure costs. It also enhances your security posture through regular security patching initiated every 14 days. You can simply define your task requirements such as the number of vCPUs, memory size, and CPU architecture, and Amazon ECS automatically provisions, configures and operates most optimal EC2 instances within your AWS account using AWS-controlled access. You can also specify desired instance types in Managed Instances Capacity Provider configuration, including GPU-accelerated, network-optimized, and burstable performance, to run your workloads on the instance families you prefer.

To get started with ECS Managed Instances, use the AWS Console, Amazon ECS MCP Server, or your favorite infrastructure-as-code tooling to enable it in a new or existing Amazon ECS cluster. You will be charged for the management of compute provisioned, in addition to your regular Amazon EC2 costs. To learn more about ECS Managed Instances, visit the feature page , documentation , and AWS News launch blog .

AWS Payment Cryptography  has expanded its global presence with availability in three new regions – Canada(Montreal), Africa (Cape Town) and Europe (London). This expansion enables customers with latency-sensitive payment applications to build, deploy or migrate into additional AWS Regions without depending on cross-region support. For customers processing payment workloads in Europe, availability in London offers additional options for multi-Region high availability.

AWS Payment Cryptography is a fully managed service that simplifies payment-specific cryptographic operations and key management for cloud-hosted payment applications. The service scales elastically with your business needs and is assessed as compliant with PCI PIN and PCI P2PE requirements, eliminating the need to maintain dedicated payment HSM instances. Organizations performing payment functions – including acquirers, payment facilitators, networks, switches, processors, and banks can now position their payment cryptographic operations closer to their applications while reducing dependencies on auxiliary data centers with dedicated payment HSMs.

AWS Payment Cryptography is available in the following AWS Regions: Canada(Montreal), US East (Ohio, N. Virginia), US West (Oregon), Europe (Ireland, Frankfurt, London), Africa(Cape Town) and Asia Pacific (Singapore, Tokyo, Osaka, Mumbai).

To start using the service, please download the latest AWS CLI/SDK  and see the AWS Payment Cryptography  user guide for more information.

Today, AWS announced enhanced API key restrictions for Amazon Location Service, enabling developers to secure their location-based applications more effectively. This new capability helps organizations that need to restrict API access to specific mobile applications, providing improved security controls for location services across their application portfolio.

Developers can now create granular security policies by restricting API keys to specific Android applications using package names and SHA-1 certificate fingerprints, or to iOS applications using Bundle IDs. For example, enterprises can ensure their API keys only work with their approved mobile applications, while development teams can create separate keys for testing and production environments.

Amazon Location Service API key restrictions are available in the following AWS Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Stockholm), Europe (Spain), and South America (São Paulo). To implement these restrictions, you’ll need to update your API key configurations using the Amazon Location Service console or APIs. To learn more, please visit the Developer Guide .

Amazon Cognito now enables app clients to specify resource indicators during access token requests as part of its OAuth 2.0 authorization code grant and implicit grant flows. The resource indicator identifies the protected resource, such as a user’s bank account record or a specific file in a file server that the user needs to access. After authenticating the client, Cognito then issues an access token for that specific resource. This ensures that access tokens can be limited from broad service level access down to accessing specific individual resources.

This capability makes it simpler to protect resources that a user needs to access. For example, agents (an example of app clients) on behalf of users can request access tokens for specific protected resources, such as a user’s banking records. After validation, Cognito issues an access token with the audience claim set to the specific resource. Previously, clients had to use non-standard claims or scopes for Cognito to infer and issue resource-specific access tokens. Now, customers can specify the target resource in a simple and consistent way using standards-based resource parameter.

This capability is available to Amazon Cognito Managed Login customers using Essentials or Plus tiers in AWS Regions where Cognito is available, including the AWS GovCloud (US) Regions. To learn more, refer to the developer guide , and pricing for Cognito Essentials and Plus tier.

I an engaged in a Grand Projet to screw the French, Ed confides to his diary France is going very big on AI and I have registered a similar enthusiasm …

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