17 years ago we asked some of the industry’s glitterati what were their most prized possessions. This was the list of Sir Robin Saxby: “My most prized item is an AMI Jukebox,” said Sir Robin, “its innards are totally mechanical, with mechanical memory, record selection and programming, yet it replicates what we now call digital …

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Samsung has agreed to compensate workers with payouts of up to £100,000 for diseases and death caused by the chemicals used in fabs. The death of Hwang Yumi, a 23-year-old Samsung fab employee, has provoked the settlement after a ten year campaign by her father Hwang Sang-ki. Back in 2007, Hwang set up a group …

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US researchers have created an EMI screening material that is semi-transparent flexible and quickly applied – although only to small objects. They are films with hundreds of layers, each a few nanometres thick – the polymer-bonded layers alternate between carbon-nanotubes and a MXene – MXenes are two dimensional inorganic molecules containing a transition metal carbide or …

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We must highlight this one – the Raspberry Pi TV HAT, a new add-on board to cater for your televisual needs.

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Signify turns the 1000-ft+ China World Trade Center tower into a top-to-bottom ornamental light show.

Amazon Relational Database Service (RDS) now sends all service events to Amazon CloudWatch Events, allowing you to track and respond to changes in your Amazon RDS resources.

Amazon GuardDuty has further optimized the analysis of AWS CloudTrail logs resulting in reduced GuardDuty cost for many customers. Cost reductions will vary by customer based on their volume of AWS CloudTrail logs. Customers with high-volumes of global CloudTrail events will see the greatest net positive impact. We introduced the first round of CloudTrail log analysis improvement in June 2018. This next optimization is a continuation of our efforts to reduce GuardDuty costs for customers, while at the same time continuously adding security value by introducing new detections and improving existing detections in the service.

Amazon Elastic File System (Amazon EFS) now supports 512 locks per file.

You can now add outbound mail flow rules for your Amazon WorkMail organization. Outbound mail flow rules allow you to perform simple control actions like blocking sending of a message or routing messages to a custom appliance via the SMTP protocol. This adds extensibility to the WorkMail product by allowing you to control sending or delegate handling of outbound e-mail to 3rd party or custom appliances. For example, you can now route to appliances for data leak protection, email encryption, IP reputation management, and archiving. Furthermore, you can specify conditions for each outbound mail flow rule based on the domain and email addresses of the message sender and recipients. The rule will then only run when the sender and recipients match the rule’s condition. This way you can route traffic differently depending on who is sending and who they are sending to. This control is especially useful if you are routing to appliances with a per-user cost model, so you can route to only the users who need it. Finally, this feature complements Amazon WorkMail’s interoperability with Microsoft Exchange by enabling customers who are transitioning from Exchange to WorkMail to route outbound email through their existing on-premises Exchange setup.

Like inbound mail flow rules, setting up outbound mail flow rules is easy with just a few quick steps in the Amazon WorkMail console. To get started, go to your Amazon WorkMail organization and click on Organization Settings. You can specify rules with the drop, bounce, or the SMTP routing actions, together with which sender and recipient email addresses or domains the rule should apply to.

Outbound mail flow rules are available today for Amazon WorkMail in all AWS Regions where Amazon WorkMail is offered. To learn more about Amazon WorkMail, or to start your trial, please visit Amazon WorkMail.

Amazon Rekognition is a deep learning-based image and video analysis service that can identify objects, people, text, scenes, and activities, as well as detect unsafe content. Today we are announcing a major update to object and scene detection, also known as label detection. Label detection identifies objects and scenes in images. Until now, Amazon Rekognition could identify the presence of an object in an image, but couldn’t find where the object is within the image. Amazon Rekognition can now specify the location of common objects such as dogs, people and cars in an image by returning object bounding boxes, and comes with significantly improved accuracy for all existing object and scene labels across a variety of use cases. In addition, customers can use the bounding box information to infer how many of each object (“3 dogs”) occur in the image, and the relationship between objects (“dog on a couch”). These new enhancements all come at no additional cost.