Timer4 on the ATmega32U4 (Arduino Leonardo, Micro, Pro Micro) is another one of Microchip/Atmel’s high-speed timers that can be fed by a PLL (phase-locked-loop) multiplied version of the 16MHz system clock – up to 64MHz in this case. Here are some ATtiny’s with similar timers. Now, there are plenty of cheaper Arm Cortex-M..-based microcontrollers with …

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The semiconductor market is finishing the year strongly, says Semiconductor Intelligence. Q3 revenue was $144.8 billion, according to WSTS, up 7.4% from the prior quarter and up 27.6% from a year ago. The strong year-to-year growth was a slight deceleration from 30.4% in Q2. The major memory companies reported very healthy 3Q21 revenue increases versus …

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Silicon carbide mosfets and Schottky diodes are both subject to the unipolar limit – the trade-off between breakdown voltage and specific resistance of the drift layer. Super-junction transistors bypass this limit, and bipolar transistor are not subject to it, but both require p-type semiconductor layers in otherwise n-type unipolar devices. To create p-type SiC, it …

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Amazon SageMaker Model Registry, the purpose-built service which enables customers to catalogue their ML models, now supports cross account registration of model versions.

Amazon Pinpoint now includes an SMS simulator feature that you can use to test how your application handles different SMS sending scenarios. With this feature, you can simulate deliveries by sending SMS messages to a destination phone number that Amazon Pinpoint provides. This enables you to see see examples of message delivery receipts per destination country without owning a destination phone number for that country. You can use the SMS simulator to test that your application’s logic is functioning as intended through simulated successful or failed sending. You can also use this feature to test your origination identity throughput without impacting your quota.

Amazon CloudWatch now supports anomaly detection based on metric math expressions. Amazon CloudWatch anomaly detection allows you to apply machine-learning algorithms to continuously analyze system and application metrics, determine a normal baseline, and surface anomalies with minimal user intervention. CloudWatch metric math allows you to aggregate and transform metrics to create custom visualizations of your health and performance metrics. Metric math supports basic arithmetic functions such as +,-,/,*, comparison and logical operators such as AND & OR, and a number of additional functions such as RATE and INSIGHT_RULE_METRIC. For example, with AWS Lambda metrics you can divide the Errors metric by the Invocations metric to get an error rate, use anomaly detection to visualize expected values on a metric graph, and create an anomaly detection alarm to dynamically alert you when the value falls outside of the expected range.

AWS Lambda now supports mutual TLS authentication for Amazon MSK and self managed Kafka as an event source. Customers now have the option to provide a client certificate to establish a trust relationship between AWS Lambda and Amazon MSK or self managed Kafka brokers that are configured as event sources. Lambda will support self-signed server certificates or server certificates signed by a private CA for self-managed Kafka event sources by letting customers provide a root CA certificate which allows our pollers to trust their Kafka brokers. Support for self-signed server certificates is not required for MSK event sources because all MSK brokers use public certificates signed by Amazon Trust Services CAs , which Lambda trusts by default.

AWS App Mesh now supports ARM64-based images with Envoy. With App Mesh-optimized ARM64 Envoy images, customers now get enhanced deployment flexibility and platform support to suit their requirements. AWS App Mesh is a service mesh that provides application-level networking to make it easier for your services to communicate with each other across multiple types of compute infrastructure. AWS App Mesh standardizes how your services communicate, giving you end-to-end visibility and options to tune for high-availability of your applications.

We’re excited to announce two new forecasting APIs for Amazon Forecast that generate up to 40% more accurate forecasts and help you understand which factors, such as price, holidays, weather, or item category, are most influencing your forecasts. Forecast uses machine learning (ML) to generate more accurate demand forecasts, without requiring any ML experience. Forecast brings the same technology used at Amazon to developers as a fully managed service, removing the need to manage resources.

Amazon Linux 2 is now available with an updated Linux kernel (5.10) as an Amazon Machine Image (AMI). Kernel 5.10 brings a number of features and performance improvements, including optimizations for Intel Ice Lake processors and AWS Graviton2 processors powering the latest generation Amazon EC2 instances. Live patching for Kernel 5.10 is supported in Amazon Linux 2 for both x86 and ARM architectures.