Company

OpenAI is an artificial intelligence research laboratory consisting of the for-profit corporation OpenAI LP and its parent company, the non-profit OpenAI Inc. The company, considered a competitor to DeepMind, conducts research in the field of artificial intelligence (AI) with the stated goal of promoting and developing friendly AI in a way that benefits humanity as a whole. The organization was founded in San Francisco in late 2015 by Elon Musk, Sam Altman, and others, who collectively pledged US$1 billion. Musk resigned from the board in February 2018 but remained a donor. In 2019, OpenAI LP received a US$1 billion investment from Microsoft.


From their website:
"OpenAI’s mission is to ensure that artificial general intelligence (AGI)—by which we mean highly autonomous systems that outperform humans at most economically valuable work—benefits all of humanity. We will attempt to directly build safe and beneficial AGI, but will also consider our mission fulfilled if our work aids others to achieve this outcome."

Resource

Many people are interested in what is called neurofeedback or EEG biofeedback training, a generic mental training method which makes the trainee consciously aware of the general activity in the brain. This method shows great potential for improving many mental capabilities and exploring consciousness. Other people want to do experiments with brain-computer interfaces or just want to have a look at their brain at work.

Unfortunately, commercial EEG devices are generally too expensive to become a hobbyist tool or toy.

The OpenEEG project is about making plans and software for do-it-yourself EEG devices available for free (as in GPL). It is aimed toward amateurs who would like to experiment with EEG. However, if you are a pro in any of the fields of electronics, neurofeedback, software development etc., you are of course welcome to join the mailing-list and share your wisdom.

Resource

BCI++ is a framework dedicated to the development and fast prototyping of Brain-Computer Interface systems, pc-driven protocols for a variety of bio-signal acquisition paradigms and BCI-based applications.

The BCI++ features two main modules communicating via TCP/IP connnection: a module dedicated to signal acquisition, storage and visualization, real-time execution and management of custom algorithms (developed using C/C++ or Matlab®) and a Graphic User Interface module dedicated to pc-driven protocols development based on a high-level 2D/3D Graphic Engine (Irrlicht).

The BCI++ framework guarantees ease of use, high flexibility and powerful solutions for the development of complex paradigms and immersive protocols oriented both to the in-lab research and to end-user application.

xBCI is an easy-to-use platform for building an online BCI system

Resource

Pyff is a Pythonic Feedback Framework which provides a platform independent framework to develop BCI feedback applications in Python. It was designed to make the development of feedback applications as easy as possible. Existing solutions have either been implemented in C++, which makes the programming task rather tedious, especially for non-computer-scientists, or in Matlab, which is not well suited for more advanced visual (flickering is inavoidable which is unconfortable for the user and has side effects in the EEG) or auditory feedback applications.

This framework solves this problem by moving the feedback implementations to a general purpose, and easy to learn language like Python. Python provides many so called bindings to other libraries, which allow it to develop high quality multimedia feedback applications, with little effort.

The framework communicates with the rest of the BCI system via a standardized communication protocol using UDP and XML and is therefore suitable to be used with any BCI system that may be adapted to send its control signal via UDP in the specified format.

Having such a general feedback framework will also foster a vivid exchange of feedback applications between BCI groups, even if individual system for processing and classification are used.