Klaus Neuenhueskes looks at brushless DC motor control in cars and discovers that H-bridge controllers have specific advantages for designers. According to a recent report by research firm IHS, around three billion electric motors will be shipped into automotive applications in the last year. The majority (70%) were DC brushed motors while brushless DC (BLDC) …

Cars rely on brushless motors and need good drivers

The ultimate memory – one which stores one bit per atom – has been developed by TU Delft (Technology University of Delft) The university has made a 1KB memory on a 96nm x 126nm copper base with a density equivalent to 502Tb per sq inch. A one atom per bit memory has been a goal …

The Ultimate Memory

Our IoT Design 2016 event in London is not to be missed! It takes place on Thursday 15 September and check out this short and snappy video overview for more details, from our publisher Josh Brooks.

Read full article: Video: Find out more about IoT Design 2016

AWS Device Farm Remote Access is now generally available. Gesture, swipe, and interact with mobile devices in real time, directly from your web browser. You can use AWS Device Farm Remote Access for manual tasks like debugging new functionality, running manual tests, and reproducing customer issues. Note: New device types will be coming on-line on a daily basis. We use market data and customer feedback to continuously update the fleet.

To learn more see the documentation or visit the AWS Device Farm site.

CloudWatch Events is now available in the Asia Pacific (Mumbai) region.

Starting today you can create a new Amazon Aurora database from an existing MySQL backup. This can be done by creating a backup of your MySQL database using the Percona XtraBackup tool and uploading the file(s) to an Amazon S3 bucket. You can then create a new Aurora cluster from the backup file(s) in Amazon S3, directly through the RDS console.

You now have the ability to quickly and easily delete multiple objects through the Amazon Machine Learning (Amazon ML) console. Interactively select and/or deselect multiple objects, either individually or in bulk, to delete these objects via the Amazon ML console. For instance, once a model is trained to meet your business requirements, you can search, select, and delete the datasources, models, and evaluations produced during the iterative process of model development.

For more information on using this new feature to select and delete multiple objects through the console, visit the Amazon ML documentation .

We’ve made four of our most popular Technical Bootcamps from AWS re:Invent and Summits part of our broader AWS Training portfolio so you can attend a class convenient to you.

• Taking AWS Operations to Next Level teaches you how to leverage AWS CloudFormation, Chef, and AWS SDKs to automate provisioning and configuration of AWS infrastructure resources and applications. We also cover how to work with AWS Service Catalog. This course is designed for solutions architects and SysOps administrators.
• Securing Next-Gen Applications at Cloud Scale teaches you how to use a DevSecOps approach to design and build robust security controls at cloud scale for next-generation workloads. We cover design considerations of operating high-assurance workloads on the AWS platform. Labs teach you governance, configuration management, trust-decision automation, audit artifact generation, and native integration of tasks into custom software workloads. This course is for security engineers, developers, solutions architects, and other technical security practitioners.
• Running Container-Enabled Microservices on AWS teaches you how to manage and scale container-enabled applications by using Amazon ECS. Labs teach you to use Amazon ECS to handle long-running services, build and deploy container images, link services together, and scale capacity to meet demand. This course is for developers, solutions architects, and system administrators.
• Building a Recommendation Engine on AWS teaches you to build a real-time analytics and geospatial search application using Amazon ES, Amazon DynamoDB, DynamoDB Streams, Amazon API Gateway, AWS Lambda, and Amazon S3. We discuss a real-world location-aware social application that displays information generated from a model created with Amazon Machine Learning. We also cover best practices for processing and analyzing data, such as the lambda data processing pattern and automating development process, using Swagger, Grunt, and the AWS SDK. This course is for developers, solutions architects, and data scientists.

 

You can find upcoming classes in our Global Class Schedule or learn more at AWS Training.

You can now provision AWS IoT resources using AWS CloudFormation. Visit our documentation to learn more.

A memorandum of understanding signed by India’s Maharashtra Industrial Development Corporation (MIDC) with the Singapore government, on sharing technology for water recycling, could help MIDC in bidding for a new desalination project in Uran, reports the Times of India.