Today, Amazon SageMaker announces a new direct integration with Salesforce Data Cloud, allowing customers to securely access their data in Salesforce Data Cloud from SageMaker to build, train, and deploy ML models on SageMaker. Customers can then bring the ML models into Salesforce Data Cloud using Salesforce Einstein Studio to power their ML-driven business applications.
AWS Resilience Hub announces application resilience drift detection
AWS Resilience Hub adds support for application resilience drift detection, allowing you to opt into notifications that your application is no longer meeting the recovery objectives set by your business. Resilience Hub provides a single place to define, validate, and track the resilience of your applications so that you can avoid unnecessary downtime caused by software, infrastructure, or operational disruptions.
Amazon Translate enables language detection for real time document translation
Amazon Translate is a neural machine translation service that delivers fast, high-quality, affordable, and customizable language translation. Today, we are enabling language detection for real time document translation. Customers can now automatically detect the source document’s dominant language leveraging Amazon Comprehend’s language detection API.
Announcing the release of AWS Thinkbox Deadline 10.3
AWS Thinkbox Deadline 10.3.0.9 is generally available with a DeadlineCommand application plugin, updated support for third-party integrations, and an upgrade to Python 3.10.
AWS Transit Gateway Flow Logs is now available in five additional regions
Starting today, Amazon Virtual Private Cloud (VPC) customers can use AWS Transit Gateway Flow Logs in five additional AWS regions: Middle East (UAE), Europe (Zurich), Europe (Spain), Asia Pacific (Hyderabad), and Asia Pacific (Melbourne).
Amazon RDS simplifies connectivity between an RDS or Aurora database and AWS Lambda
Starting today, you have the option to automatically set up connectivity between an Amazon Relational Database Services (Amazon RDS) or an Amazon Aurora database and an AWS Lambda function using an Amazon RDS Proxy. From the Amazon RDS console, you can choose an action to set up a connection between your Amazon RDS or Amazon Aurora database and a Lambda function using an existing Amazon RDS Proxy or using an auto-created, new Amazon RDS Proxy in your account. Amazon RDS automatically sets up your related network settings to enable a secure and scalable connection between the Lambda function and the Amazon RDS or Amazon Aurora database.
Amazon Aurora now supports automatic backup of deleted clusters
Amazon Aurora MySQL-Compatible and PostgreSQL-Compatible editions now supports automatic backups for deleted clusters. Customers can now choose to retain automatic backups when deleting an Aurora cluster, and later use it to restore a new cluster from it.
Fable: The Wheel On Which The Chip Industry Turned
The rapid dissemination of semiconductor technology which characterised the early chip industry gave the entrepreneurial companies the drop over established companies. One of the wheels that propelled this rapid spread of knowledge was this one: Underneath it, engineers from many companies shared the knowledge and insights which drove the scorching pace of the industry’s early days. Moral: …
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Room temperature superconductor – oh please let it be true this time
That LK-99 room-temperature superconductor from Korea University sounds interesting. But I type that wearily as, although I want ti to be true, there have been too many false starts to …
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Manuring The Seedbed
If I was the minister for technology and wanted to know what to do to help the UK semiconductor industry, I would get on a train to Maldon in Essex and knock on the door of CML Microsystems who have been running a UK chip business for 55 years. So far as I know, the …
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