We are excited to launch Unified Settings for the AWS Console in the AWS GovCloud (US-West and US-East) Regions. With Unified Settings, settings will persist across devices, browsers, and services. At launch, Unified Settings supports default language, default Region, visual mode, and favorite service display. Default language displays your preferred language across the Management Console, default Region sets the AWS Region each time you sign in or visit a service console, visual mode lets you toggle between the default light mode or dark mode, and favorite service display will show services in the favorites bar with either the service icon and full name or only the service icon.
Enhance accuracy of pre-trained Rekognition moderation model with Custom Moderation
Amazon Rekognition content moderation is a deep learning-based feature that can detect inappropriate, unwanted, or offensive images and videos, making it easier to find and remove such content at scale. Customers across industries, such as social media, gaming, and advertising, use Rekognition’s content moderation capabilities to protect their brand reputation, and enable safe user communities. With Custom Moderation, customers can now enhance the accuracy of the moderation deep learning model on their business-specific data by training an adapter with as few as twenty annotated images in less than hour.
Amazon RDS for PostgreSQL, MySQL, and MariaDB supports M6in, M6idn, R6in, R6idn database instances
Amazon Relational Database Service (Amazon RDS) now supports M6in, M6idn, R6in, and R6idn database (DB) instances for RDS for PostgreSQL, MySQL, and MariaDB. These network optimized DB instances deliver up to 200Gbps network bandwidth, which is 300% more than similar sized M6i and R6i database instances. Enhanced network bandwidth makes M6in and R6in DB instances ideal for write-intensive workloads. M6idn and R6idn support local block storage with up to 7.6 TB of NVMe-based solid state disk (SSD) storage.
Deploy ML models built in SageMaker Canvas to SageMaker real-time endpoints
Amazon SageMaker Canvas now supports deploying machine learning (ML) models to real-time inferencing endpoints, allowing you take your ML models to production and drive action based on ML powered insights. SageMaker Canvas is a no-code workspace that enables analysts and citizen data scientists to generate accurate ML predictions for their business needs.
Diversifying European Gas Supply
The diversification of energy supplies has been a priority for European countries and it has been a long and costly process, requiring investment in infrastructure (new pipelines, LNG terminals, etc.) …
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The Consequences Of Fab-Tight
13 years ago, the chip industry went through a radical change which, ten years later, explains the shortages, under-capacity and chaos of the last few years. In 2010, the industry …
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Most Read articles – RISC-V, Nvidia Orin, O-RAN radio
There’s O-RAN reference designs, four channel 12bit oscilloscopes, a rugged waterproof camera, Graphcore losses and the U.S. stance on RISC-V and China…
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Avnet’s 30mm x 30mm compute module
Avnet Embedded has come up with the compact MSC OSM-SF-IMX93 OSM computing modules compliant with the new OSM* 1.1 standard (Size-S) “Small” with dimensions of 30 x 30mm. The scalable …
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UK gov commissions chemical detection sensors for Armed Forces
A government contract, worth £88 million, has been placed with UK company Smiths Detection to develop chemical sensing equipment to protect UK Armed Forces. The UK’s Defence Science and Technology …
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NXP reference platform for two-wheelers
NXP has announced a combined digital instrument cluster and connectivity reference platform designed for mass-market two-wheelers, including motorcycles, electric scooters, commuter bikes, and more. The platform combines the high performance …
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