Starting today, Amazon EC2 M6g, M6gd, C6g, and R6g instances powered by AWS Graviton2 processors are available in Asia Pacific (Jakarta) region. AWS Graviton2-based instances provide up to 40% better price performance over comparable x86-based instances. M6g and M6gd instances are ideal for general purpose workloads such as application servers, microservices, mid-size data stores, and caching fleets. C6g instances are ideal for compute-intensive workloads such as high performance computing (HPC), batch processing, ad serving, video encoding, gaming, distributed analytics, and CPU-based machine learning. The local SSD storage provided on M6gd instances is ideal for applications that need access to high-speed, low latency storage of data such as caching, logs, and scratch files. R6g instances are ideal for memory-intensive applications such as open-source databases, in-memory caches, and real time big data analytics. 

The Amazon Chime SDK enables developers to add intelligent real-time audio, video, and screen share to their web and mobile applications. Starting today, Amazon Chime SDK messaging supports large-scale chat experiences for up to one million users with elastic channels. Use cases include watch parties for sporting events, political events, or live entertainment with create elastic channels. Elastic channels help make it easy for you to create secure, scalable, moderated chat experiences for large audiences which you can use with your built in moderation features to help enforce brand, corporate, or community guidelines.

Amazon Relational Database Service (Amazon RDS) Custom for Oracle now supports Scale Compute operation. With this, you can now scale your Amazon RDS Custom for Oracle instance up or down.

Amazon Personalize now supports comparison operators ( =, <, , >=) for dynamic filters to provide flexibility in applying your business rules to recommendations. Amazon Personalize enables developers to improve customer engagement through personalized product and content recommendations – no ML expertise required. Dynamic filters currently  allow you to change filter criteria at the time of getting recommendations, so that you can modify filter rules on the fly without having to create separate permutations. With this launch, you get even more control over your recommendations by having the option to use comparison operators ( =, <, , >=) with dynamic filter values. For example, video or news websites can use this feature in a “What’s New” section to only recommend items introduced in the last 7 days. Similarly, retail customers can upsell items on their checkout page by filtering for items priced higher than the item(s) currently in the shopping cart. This feature builds on existing dynamic filter functionality by providing increased flexibility in applying your individual business rules, enabling you to modify recommendations based on users’ needs, preferences, and changing behavior.

Amazon Personalize now allows you to promote specific items in all users’ recommendations based on rules that align with your business goals. Amazon Personalize enables developers to improve customer engagement through personalized product and content recommendations – no ML expertise required. Personalize currently recommends relevant items for each user or similar items to a given item based on interactions and metadata information. With this launch, you can define business rules to identify items that you want to promote across your user-base. You can also control the percentage of promoted content in your recommendations. For example, E-commerce customers can use this feature to fill 20% of recommendations with items marked as “on sale”. Similarly, Video-on-Demand customers can use this feature to fill 40% of their rail/carousel with linear/live TV content. Based on your business rules and definitions, Amazon Personalize finds relevant items for promotion and distributes them within user-specific recommendations.

There’s the growing applications processor market, a resignation from the board at SMIC, cloud computing, a teardown of the Apple M2-powered MacBook Air, and a look ahead to the next 20 years of IC evolution…

The post Most Read articles – AP market, MacBook Air M2, IC evolution appeared first on Electronics Weekly .

In his book High Output Management, Andy Grove quoted, approvingly, a remark about group decision-making made by Alfred Sloan – the famous president, CEO and  chairman of General Motors over 30 years spanning the 30s, 40s and 50s. “Group decisions do not always come easily, “ said Sloan, “there is a strong temptation for the …

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Researchers from Skoltech, the University of Iceland, and the University of Southampton have demonstrated the formation of an odd never-before-seen entity from the realm of quantum physics: a cluster of optical vortices with periodic charge flipping. Fundamental studies of optical vortices hold the promise of applications in optical microscopy, quantum cryptography, enhanced-bandwidth optical communication, analog computation, and optical tweezers tech. The research was …

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Now in its fifth year of awards, EW BrightSparks sees Electronics Weekly partner with RS Grass Roots to highlight the brightest and most talented young engineers in the UK today. Here, in our series on the latest EW BrightSparks of 2022, we highlight Arturas Matusevicius, an MSc Electronic Power Engineering Student at the University of Northumbria …

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The UK Space Agency (UKSA) has reported on the impact of its Space Accelerator programme 2021/2022, which was launched in March 2021 as a business acceleration programme for “high-potential” entrepreneurs. In total, it awarded £360,000 to the Accelerator and it reports that this “catalysed” a total investment of £8.79 million from other grants and investors. …

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