Microsoft and Intel’s Project Evo Ups the PC Game


Microsoft and Intel on Wednesday announced Project Evo, their highly anticipated collaboration to create the next generation of personal computers. The project aims to expand on new advances in artificial intelligence, mixed reality, advanced security and gaming.

Terry Myerson, executive vice president of the Windows and Devices Group at Microsoft, unveiled some of Project Evo’s ambitious plans at the Windows Hardware Engineering Community (WinHEC) event in Shenzhen, China.

Through the collaboration, the companies will push the boundaries of a personal computer’s capabilities in the near future, he said. Technologies under development include far-field speech and wake-on-voice enabled through Cortana, biometrics and voice authentication in Windows Hello, spacial audio, and HDR support for gaming.

Project Evo — particularly its expanded use of Cortana — invites comparisons to the digital assistant tools found in Amazon Echo and Google Home, standalone speakers that use Amazon Alexa and Google Assistant respectively. Though their capabilities differ, each uses voice communications to interact with the automated home.

However, Project Evo seems geared toward making the personal computer into a much more sophisticated device — one that can be accessed and operated in ways never before seen.

Microsoft and Intel’s Project Evo Ups the PC Game’s Braid Aims to Weave Together Neural Network Components


Startup on Monday introduced Braid, an open source tool available for free to companies developing neural networks.

Braid is a flexible, customizable, modular meta-framework that works with operating systems for deep learning, according to the company. It is designed for rapid development and to support arbitrary network designs.

It is simple and scalable, for use with networks that need to handle many data points at large volume, said.

Braid allows for quick experimentation without having to worry about the boilerplate components of the code, the company pointed out. Users can build complex architectures using drag-and-drop or through coding.

Devs can use Braid to customize existing neural layers or add to them, according to’s Braid Aims to Weave Together Neural Network Components