Mission
The world of AI model development is evolving at a rapid pace. Thousands of AI models can be deployed in a global network today by a multinational corporation or a government organization, in-house or supplied by a wide array of vendors. This can lead to important discoveries and insights, but it also presents a new issue – what framework can integrate all these instances, cross-correlate their results, and present their collective findings?
A group of dedicated scientists, academics, government labs, inventors, private and public organizations formed the Enterprise Neurosystem to address the benefits and challenges of AI and Machine Learning. And it was increasingly clear that advances in this field were leading to a unified AI intelligence framework – connected to every area of a network or organization, gathering and integrating millions of real-time and historical data points for actionable reference. This framework would autonomously analyze and manage data in real time, map it against historical information and events, and ultimately provide observations and guidance to humanity.
In the human body, many functions are fully autonomic (heartbeat, oxygen exchange, energy assimilation, etc.) and others require higher-order conscious analysis (relationship management, movement and guidance systems, etc.). We believe IT data centers and network environments are quite similar to this biological model. Humanity, it seems, has been subconsciously using its own architecture as the basis for building these connective systems.
The last yard of this development is the prefrontal cortex – fluid intelligence, cognition and critical thinking. The Enterprise Neurosystem is the final stage of this evolution. It will enable a deeper and more complete level of AI awareness and perception by building on the vision of a large-scale collective framework, and turning it into a single federated AI instance.
Humanity must directly engage with AI, as the combined effect of human and machine deterministic capabilities is beyond the power of either one alone. This also creates a loop where bias can be addressed in an ongoing manner, and corrective actions can be made to ensure neutrality and objectivity at every level of analysis.
Climate challenges are a pressing area where large-scale AI architecture can make the most impact for the global good. A collective framework is required to gather data from a multitude of projects, and apply analysis across their outputs to look for deeper patterns, causes and conditions. Not only are there significant discoveries and solutions waiting to be uncovered, but the Enterprise Neurosystem believes that humanity must proactively review these new AI tools and technologies, to fully understand their benefits, challenges and risks.
An open-source research consortium offers an outstanding approach to study these new advances, and create effective implementation strategies and guidance. This is for the benefit of humanity in the face of dramatic change on all fronts, from natural to technological.
In summary, the Enterprise Neurosystem was founded from a wide variety of viewpoints and experiences across the globe. We directly engage the pressing issues of our time, work to maximize the use of AI models to help solve them, and make them freely available for all to use.
Our consortium is a community, welcome to all.