Arduino now has a standalone voice recognition and synthesiser which does not require an internet connection or cloud-based processing. It is a hardware shield which is claimed to ‘Siri- like’ recognise full sentences and has a 2GB internal dictionary. It can be programmed to recognise almost any complete English sentence and build a dialogue system to …

Build your own Siri for Arduino

Asustek, Intel’s largest client for smartphone platforms, is reported by Digitimes to have cut back orders for Intel’s mobile ICs because of a delay on the supply of Intel’s 4G SoFIA LTE chip. The scale of the decrease in ordering Intel chips is reported to be from six million SoCs in 2015 to below five …

Asustek Cuts Back On Intel Mobile SoC Orders

Drone autopilot system developer, Erle Robotics has teamed up with Catuav to offer control systems for fixed-wing autonomous crafts. Erle Robotics has already developed an open autopilot shield for the Raspberry Pi which turns the tiny low cost computer module into a drone control system. Fixed-wing autonomous crafts are typically used for Earth survey missions …

Drones and Raspberry Pi flying high at Erle

Toshiba is sampling a dual picture video processor for high resolution automotive displays. The TC90195XBG provides support for navigation, entertainment and driver support systems that are increasingly found in cars. Volume production is scheduled for June. With increased demand for larger panels with higher resolutions, the chip supports 1920×720 at (60 frames per second (fps) …

Toshiba sampling dual picture automotive video processor

The headquarters of Cisco integrator Smartworld is the latest “Digital Ceiling” proof-of-concept site that incorporates PoE technology.

The US Department of Energy is pursuing regulations for general service lamps that are stronger in many ways than California Title 20, but don’t mandate the boost in color rendering performance that has drawn the ire of many in the SSL sector.

You can now configure AWS IoT Rules to route device-generated data directly to Amazon Machine Learning, enabling you to create machine learning (ML) models without having to learn complex ML algorithms and technology. With Amazon Machine Learning integration, you will be able to generate billions of predictions daily, and serve those predictions in real-time and at high throughput. 

You now have the ability to quickly and easily create new Amazon Redshift datasources in Amazon Machine Learning (Amazon ML) by copying settings from an existing Amazon Redshift datasource. A new option on the Amazon ML console allows you to select an existing Redshift datasource to copy the Redshift cluster name, database name, IAM role, SQL query and staging data location, to automatically populate these fields in the Create Datasource wizard. You can modify the settings before the new datasource is created, for example, to change the SQL query, or to specify a different IAM role to access the cluster.

We are pleased to announce that the AWS Schema Conversion Tool now supports conversions between two popular open source engines: MySQL and PostgreSQL. Conversions can be run in either direction and using any MySQL compatible engine including Amazon’s next generation cloud database, Aurora. This release builds upon existing support for conversions from Oracle and SQL Server to PostgreSQL and MySQL. SCT now includes further improvements in conversion rules between all engines and a revised assessment report. 

AWS IoT now offers APIs to register and use security certificates signed by your Certificate Authority (CA) as an alternative to using certificates that were generated by AWS IoT. This allows your connected devices with existing or new certificates signed by your signing certificate seamless access to AWS IoT.

To learn more about the service, visit the AWS IoT documentation .