Microsoft to Use Chromium for Edge Browser

The company has already placed the repository on GitHub to attract new members to the development of the browser
07 December 2018   122

Microsoft Vice President Joe Belfiore said that from December 6, 2018, the company will use the Chromium engine in the Microsoft Edge browser. According to him, Microsoft also plans to develop browsers for smartphones and other devices.

The company has already placed the repository on GitHub to attract new members to the development of the browser. Microsoft expects that the transition to the new engine will be a big step in the development of Microsoft Edge. For example, the browser will finally be adapted for macOS.

According to Belfiore, the company plans to improve the project in three areas:

  • Users will get hardware integration, improved browser compatibility with sites and reduced power consumption of devices when using it.
  • Web developers will appreciate the reduced fragmentation of a web platform for testing sites.
  • The corporate IT sector will get the compatibility of old and new Windows applications that run in the browser.

He noted that during the year the company would work “under the hood” of Microsoft Edge, and named several key stages of this process. For example, the transition to a platform compatible with the Chromium engine for developing a desktop version of the browser. It is also planned that most platforms and all versions of Windows will support Microsoft Edge.

Facebook to Release PyTorch 1.0

This release added support for large cloud platforms, a C ++ interface, a set of JIT compilers
10 December 2018   102

Facebook has released a stable version of the library for machine learning PyTorch 1.0. This iteration added support for large cloud platforms, a C ++ interface, a set of JIT compilers, and various improvements.

The stable version received a set of JIT compilers that eliminate the dependence of the code on the Python interpreter. The model code is transformed into Torch Script - a superstructure over Python. Keeping the opportunity to work with the model in the Python environment, the user can download it to other projects not related to this language. So, the PyTorch developers state that the code processed in this way can be used in the C ++ API.

The torch.distributed package and the torch.nn.parallel.DistributedDataParallel module are completely redesigned. torch.distributed now has better performance and works asynchronously with the Gloo, NCCL and MPI libraries.

The developers added a C ++ wrapper to PyTorch 1.0. It contains analogs of Python interface components, such astorch.nn,torch.optim, torch.data. According to the creators, the new interface should provide high performance for C ++ applications. True, the C ++ API is still experimental, but it can be used in projects now.

To improve the efficiency of working with PyTorch 1.0, a Torch Hub repository has been created, which stores pre-trained models of neural networks. You can publish your own development using the hubconf.py file, after which the model will be available for download by any user via the torch.hub.load API.

Support for C extensions and the module torch.utils.trainer were removed from the library.

Facebook released the preliminary version of PyTorch 1.0 at the beginning of October 2018, and in two months the developers brought the framework to a stable state.