Quantum Motion, a UK-based quantum computing scale-up, and Goldman Sachs have come up with a paper  titled “Low Depth Phase Oracle Using a Parallel Piecewise Circuit” which shows how how …

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Flex Power Modules is aiming at data centres with a 1kW dc-dc converter in a 23.4 x 17.8 x 7.65mm surface-mount package, leading the company to claim 900W/cm3 and 15kW/in3 …

The post Electronica: 1kW dc-dc in 23 x 18mm package from Flex Power Modules appeared first on Electronics Weekly .

Raspberry Pi has introduced a second generation of its 7inch touch display, increasing resolution from 800 x 480 to 1,280 x 720. Unlike the original which used an external board, …

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The post UNI-T function generators – solutions for every user and budget appeared first on Electronics Weekly .

The Chancellor adopted my suggestions for the digital transformation of government services with a 2% efficiency improvement target – the achievement of which depends mostly on digital adoption. As the …

The post Ed The Barber appeared first on Electronics Weekly .

Amazon RDS (Relational Database Service) Performance Insights now allows customers to monitor queries run through the RDS Data API for Aurora MySQL clusters. The RDS Data API provides an HTTP endpoint to run SQL statements on an Amazon Aurora DB cluster.

With this launch, customers are now able to use Performance Insights to monitor the impact of the queries run through the RDS Data API on their database performance. Additionally, customers can identify these queries and their related statistics by slicing the database load metric using the host name dimension, and filtering for ‘RDS Data API’.

Amazon RDS Performance Insights is a database performance tuning and monitoring feature of RDS that allows you to visually assess the load on your database and determine when and where to take action. With one click in the Amazon RDS Management Console , you can add a fully-managed performance monitoring solution to your Amazon RDS database.

To learn more about RDS Performance Insights, read the Amazon RDS User Guide and visit Performance Insights pricing for pricing details and region availability.
 

Amazon Redshift Data API enables you to access data efficiently from Amazon Redshift data warehouses by eliminating the need to manage database drivers, connections, network configurations, data buffering, and more. Data API now supports comma seperated values (CSV) result format which provides flexibility in how you access and process data, allowing you to choose between JSON and CSV formats based on your application needs.

With CSV result format, you can now specify whether you want your query results formatted as JSON or CSV through the –result-format parameter when calling ExecuteStatement and BatchExecuteStatement APIs. To retrieve CSV results, use the new GetStatementResultV2 API which supports CSV results, while GetStatementResult API continues to support only JSON. If not specified, the default format remains JSON.

CSV support with Data API is now generally available for both Redshift Provisioned and Amazon Redshift Serverless data warehouses in all AWS commercial and the AWS GovCloud (US) Regions which support Data API . To get started and learn more, visit Amazon Redshift database developers guide .

Starting today, AWS Incident Detection and Response is now available in 16 additional AWS regions. This service provides AWS Enterprise Support customers with proactive engagement and incident management, aimed at minimizing the risk of failures and accelerating the recovery of your critical workloads. AWS experts will assess your workloads for resilience, observability, and create customized runbooks for incident management. AWS Incident Management Engineers (IMEs) are on call 24/7 to detect incidents and engage you within 5 minutes of an alarm to offer guidance for mitigation and recovery.

With this release, AWS Incident Detection and Response is now available in the following AWS regions: Africa (Capetown), Asia Pacific (Seoul), Asia Pacific (Osaka), Middle East (Bahrain), Asia Pacific (Hong Kong), Middle East (UAE), Asia Pacific (Jakarta), Asia Pacific (Hyderabad), Asia Pacific (Melbourne), EU (Zurich), Europe (Spain), Canada West (Calgary), Israel (Tel Aviv), EU (Milan), North America (Calgary), Asia Pacific (Malaysia).

Visit the eligible AWS regions to see the full list of all supported regions. Visit the AWS Incident Detection and Response product page to get started.
 

Amazon Web Services (AWS) announces expansion in Qatar by launching a new Amazon CloudFront edge location in Doha, Qatar. The new AWS edge location brings the full suite of benefits provided by Amazon CloudFront , a secure, highly distributed, and scalable content delivery network (CDN) that delivers static and dynamic content, APIs, and live and on-demand video with low latency and high performance.

All Amazon CloudFront edge locations are protected against infrastructure-level DDoS threats with AWS Shield that uses always-on network flow monitoring and in-line mitigation to minimize application latency and downtime. You also have the ability to add additional layers of security for applications to protect them against common web exploits and bot attacks by enabling AWS Web Application Firewall (WAF) .

Traffic delivered from this edge location is included within the Middle East region pricing . To learn more about AWS edge locations, see CloudFront edge locations .

Fine-tuning for Anthropic’s Claude 3 Haiku model in Amazon Bedrock is now generally available. Amazon Bedrock is the only fully managed service that provides you with the ability to fine tune Claude models. Claude 3 Haiku is Anthropic’s most compact model, and is one of the most affordable and fastest options on the market for its intelligence category, according to Anthropic. By providing your own task-specific training dataset, you can fine tune and customize Claude 3 Haiku to boost model accuracy, quality, and consistency to further tailor generative AI for your business.

Fine-tuning allows Claude 3 Haiku to excel in areas crucial to your business compared to more general models by encoding company and domain knowledge. By fine tuning Claude 3 Haiku within your secure AWS environment and adapting its knowledge to your exact business requirements, you can generate higher-quality results and create unique user experiences that reflect your company’s proprietary information, brand, products, and more. You can also enhance performance for domain-specific actions such as classification, interactions with custom APIs, or industry-specific data interpretation. Amazon Bedrock makes a separate copy of the base foundation model that is accessible only by you and trains this private copy of the model.

Fine-tuning for Anthropic’s Claude 3 Haiku in Amazon Bedrock is now generally available in the US West (Oregon) AWS Region. To learn more, read the launch blog , technical blog , and documentation . To get started with Claude 3 in Amazon Bedrock, visit the Amazon Bedrock console .