Windows 10 IoT

At WinHEC 2016, Microsoft announced that Cortana support will be available for developers working on the Windows 10 IoT Core. Now, we are seeing some bits of it in the latest Insider preview build which is available for IoT Insiders starting with Build 14993. A stable release of the feature will be available with Windows 10 Creators Update, in early 2017.

Here is what is new in this build:

  • Cortana feature has been enabled.
  • The Dragonboard BSP in the provided FFU has been updated to the new build.
  • The Windows Device Portal (WDP/Web Management) has been extended to add a quick run portal for IoT Samples.
  • A fix was made to the Class Extensions for Hardware Notification (hwnclx) and USB Function (usbfnclx) packages so that they would be included in the default IoT Core images.
  • Changes were made to IoTShell to enable waiting for PPKG provisioned package installation to complete.
  • Updates were made to the GPIO Interrupt Buffer API.
  • Changes were made to Applyupdate.exe to add the blockrebooton/blockrebootoff flags.
  • A fix was made to the power state API to ensure the wakeup timer is cancelled upon exiting from connected standby.
  • Universal Write Filter (UWF) has been added as an option to the Windows Imaging and Configuration Designer (ICD).
  • The BluetoothLE stack has been updated to address the issues seen when calling GattDeviceService.GetCharacteristics.
  • Issues with NanoRDP connecting have been addressed.

Known Issues:

  • The package version for some inbox applications may not match the installed version.
  • Store applications are not being serviced when in use or set as the default application.
  • NanoRDP does not render correctly on some platforms.
  • When multiple audio devices are present on the board audio routing changes may not persist across boots.
  • The MinnowBoard Max firmware 0.93 has a known issue which can lead to network connectivity failure.

To give you a sneak peak on how Cortana can light up a device (on Windows 10 IoT) nearby, check out the demo on a Raspberry Pi3:

Source

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