EA to Announce Project Atlas

Project Atlas is a cloud-based platform for game creation, which supports AI and Frostbite engine
01 November 2018   1362

Ken Moss, technical director of Electronic Arts (EA), announced that the company is actively working on Project Atlas, a cloud platform for developing video games. The environment will provide an opportunity to work with artificial intelligence, use the technical power of EA servers, along with the forces of the developer’s own machine, as well as lead development on the Frostbite game engine.

As noted by Ken Moss, the main role of the platform is to simplify the creation of video games, while not limited to the resource of only your own machine. Project Atlas will combine the development tools of the technical and social aspects of the game in a single product. For example, the environment will allow rendering of graphic and physical components not only on the developer’s PC, but also on the EA servers.

In addition, work in the cloud will allow several developers to work on the same element at the same time. All edits will be displayed in real time. The platform will give the developer the opportunity to integrate matchmaking systems, trading platforms, achievements and other social components into his project.

This suggests that cloud technologies will allow to avoid restrictions on the technical capabilities of the platforms, as well as become the basis for interaction between users and all technical processes.

The use of neural networks greatly simplifies the process of creating video games. Artificial intelligence is involved in video game music, adjusting the behavior of non-player characters (NPC), creating interesting storylines and a rich in-game world.

Project Atlas will allow the use of neural networks to automate and simplify the implementation of certain actions in the development process. Artificial intelligence is able to create objects of the in-game world much faster than the developer manually.

As an example of the use of AI in games, American football simulator Madden NFL can be taken. According to Ken Moss, the virtual commentator accurately determines and explains the player’s actions.

Unity is also committed to making life easier for game developers. In October 2018, the company introduced the FPS Sample project, on the basis of which you can build your own shooter.

Nuitka 0.6.6 to be Released

This compiler allows to translate a Python script into a C ++ representation, which can then be compiled into an exe file using libpython
08 January 2020   216

Nuitka 0.6.6 has been released. This is a compiler that allows you to translate a Python script into a C ++ representation, which can then be compiled into an executable file using libpython to ensure maximum compatibility with CPython (using regular CPython tools for managing objects) . Fully compatible with current releases of Python 2.x and 3.x. Compared to CPython, compiled scripts show up to 312% higher performance in pystone tests. Project code is distributed under the Apache license.

The new version adds experimental support for Python 3.8 and provides compatibility with libraries and applications sklearn, osgeo, gdal, dill, scikit-image, skimage, weasyprint, dask, pendulum, pytz and pytzdata. Distutils adds support for individual modules (py_modules, not just packages) and packages with separate namespaces. Work with variables in loops has been optimized and optimized options for the abs and all built-in functions have been implemented, as well as accelerated operations with int and long types. Numerous improvements have been made to reduce memory consumption.
In addition, it is possible to postpone the end of support for the Python 2 branch from January to April. In April 2020, the last final update of the Python 2.7 branch will be generated, after which the corrective releases will not be published. At the same time, work on fixing vulnerabilities in Python 2.7 will be continued by community representatives who are interested in continuing to support this branch in their products. For example, Red Hat will continue to maintain packages with Python 2.7 throughout the entire life cycle of RHEL 6 and 7 distributions, and for RHEL 8 it will generate package updates in the Application Stream until June 2024. Recall that the Python 2.7 branch was formed in 2010 and it was originally planned to stop supporting it in 2015, but due to the insufficiently active migration of projects to Python 3, the lifetime of Python 2 was extended to 2020.