Driving global transformation via AI solutions and resources.
Our Mission which we choose to accept is to advance and democratize Artificial Intelligence and make it accessible to every individual and corporate entity of all sizes on the planet.
At DeepQuest AI (formerly AI Commons), democratizing and decolonizing Artificial Intelligence
is our ultimate goal. We are on a quest to bring all the possibilities of today's Artificial Intelligence capabilities
and resources to the reach of every individual and organization. As digital technology has transformed our everyday lives, we build and provide tools,
solutions and resources for the adoption, application and development of state-of-the-art AI into exsiting technolgies, new solutions and emerging
innovations. To ensure we effectively achieve this, we priotize the development of independently managed AI tools and solutions.
Our Mission Statement
Our Mission is grounded on the following fundamental statements:
1. Access to AI tools is a fundamental human right.
2. Access to knowledge of how to build AI systems is imperative to eradicating world problems.
3. Independent control and use of AI is critical to creativity.
4. Bias in AI algorithms can best be solved when everyone has the tools and kownledge to build independent AI systems.
5. Independent control of AI tools will protect the privacy of individuals and organizations.
6. To create a better future, for our coming generations of all races,
the universality of AI tools and knowledge must be ensure.
CEO & Head of Operations
Moses is a self-taught Computer Programmer, Software Developer, Computer Vision and
Deep Learning practitioner with a dream to build technologies that will benefit all of mankind.
Skilled in multiple programming languages and multiple frameworks, he is a knowledge-centric fellow who believes in
continuous learning, adapting and self development. He is highly experienced in team management, business strategy, project organization,
business and project collaboration.
John is a self-taught computer programmer, Deep Learning researcher
and Machine Learning engineer. He is very passionate about building large-scale systems that will enable developers
and researchers to be more productive in their work. He loves writing tutorials and articles on artificial intelligence,
spends a lot of time reading Deep Learning papers and currently works extensively on Computer Vision,
Generative Adversarial Networks and Natural Language Processing