Thank you for using Intel® software development tools. We are committed to making the best possible software and platforms to meet your development needs. Your personal experience with our products is extremely valuable to us and we want to know how we can do better.
Intel® Math Kernel Library for Deep Neural Networks (Intel® MKL-DNN) is now available on the Github (https://github.com/01org/mkl-dnn) as an open source performance library for Deep Learning (DL) applications intended for acceleration of DL frameworks on Intel® architecture. Intel® MKL-DNN includes highly vectorized and threaded building blocks to implement convolutional neural networks (CNN) with C and C++ interfaces.
After running v3.2 init script, the openh264 will always be disabled. This is a product defect and will be fixed in next patch release.
There are 3 ways to address this issue temporarily as following,
1. Modify the openh264Enabled flag in Release-v3.2/video_agent/agent.toml after running init script.
2. Set openh264Enabled flag again in Release-v3.2/video_agent/agent.toml if that's changed before running init script.
3. Apply the patch in attachment to replace the init script file at Release-v3.2/video_agent/init.sh.
I am pleased to announce the release of the Intel® Collaboration Suite for WebRTC Version 3.2. The release and user documentation are freely available to download from the Intel® Developer Zone site at http://webrtc.intel.com
The following is a list of the complete features (refer to the Release Notes for details):
a. Added support to obtain real-time network statistics of the conference mode connection in the Client SDK APIs
There are two listed below limitations with Intel® Math Kernel Library (Intel® MKL) 11.3 Update 3 which were discovered recently. The official fix of these issues will be available the nearest update Intel MKL 11.3.4.
If you require an immediate Intel MKL update to address these issues, please submit a ticket at Intel Premier Support (https://premier.intel.com) for the Intel MKL product.
I am glad to announce the availability of Intel® SDK for OpenCL™ Applications 2016 R2 for Windows*. Please visithttps://software.intel.com/en-us/intel-opencl to download the version for your platform. For details check out Release Notes.
OpenCL 2.1 and SPIR-V support
o OpenCL 2.1 development environment with the experimental CPU-only runtime for OpenCL 2.1
Today we have released the latest version of Intel XDK IoT Edition. The version number is 3400.
This release of the Intel XDK IoT Edition contained the following new features and is being released in conjunction with the Devkit 3.5 release.
We have stopped supporting Intel XDK versions 2893 and older as of June 13, 2016 as communicated earlier (see the note below). If you are using these older versions please upgrade to the latest version of XDK. Typical signs of having older versions are - not able to login, build not working, and messages like - "check if you are connect to the internet" or "you are not logged in, log in as a valid user" or a spinner goes on for a long time without logging you in. You need to upgrade to versions 3088 or above, we recommend you upgrade to the latest version.