So, 64 years ago, stated this ad from TI published in Electronics Weekly’s edition of May 3 1961

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Perceptra, the MIT spin-off pioneering photonic chip-based AI-enabled Raman sensors for chemical monitoring, has secured a €1.2 million investment from PhotonDelta, the Dutch photonic chip industry accelerator. The funding will …

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Array Labs, a Silicon Valley startup specialising in radar payloads for satellite buses, has announced raising $20 million in Series A financing.   The investment round was led by Catapult …

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Zeekr’s 7GT EV promises “Chinese technology with European design and soul” at the Brussels Motor Show for €45,990. “A true passion project, the 7GT represents our commitment as a high-end …

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Andreessen Horowitz, the Californian VC, has raised its biggest ever fund – $15 billion. The new raise brings the funds it has under management to over $90 billion. Half of …

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PowerLattice, of Vancouver, Washington State, has in progress engineering samples of a chip which reduces compute power needs by more than 50% with customer trials planned for H1 2026. “By …

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NXP has created a read-write chip for high-volume RFID tag applications complying to Rain Alliance standards for UHF passive tags. It is Branded ‘Ucode X’ and delivered in wafer form. …

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Schott has created high-power TO-9 and SMD packages for laser diodes that have a copper slug that passes all the way through the base. The copper is brazed into position, …

The post SPIE Photonics West: Copper heatsink packages for laser diodes appeared first on Electronics Weekly .

Amazon Inspector scanning for Lambda functions and Elastic Container Registry (ECR) images now supports Java Gradle inventory and vulnerability scanning. This release also adds coverage for MySQL, MariaDB, PHP, Jenkins-core, 7zip (on Windows), Elasticsearch, and Curl/LibCurl. This update enhances Amazon Inspector’s ability to detect vulnerabilities and misconfigurations across a broader range of applications and environments. Amazon Inspector is an automated vulnerability management service that continually scans AWS workloads for software vulnerabilities and unintended network exposure, helping organizations improve their security posture and meet compliance requirements.

The new Java Gradle support allows Inspector to scan Java dependencies based on gradle.lockfile content, providing comprehensive vulnerability assessments for Java applications. When you use Inspector to scan Lambda functions and ECR images, you will now see findings for MySQL, MariaDB, PHP, Jenkins-core, 7zip (on Windows), Elasticsearch, and Curl/LibCurl installations. These enhancements enable more accurate detection of vulnerabilities in packages installed outside of package managers, improving overall security coverage for AWS customers using these technologies.

To learn more about Amazon Inspector and how it can help secure your AWS workloads, visit the Amazon Inspector page . For a full list of Amazon Inspector supported operating systems and programming languages, see the user guide . You can start using these new features today in all AWS Regions where Amazon Inspector is available.

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 (New Zealand) region. 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, Apache Iceberg 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 .