Welcome to Self Stacked Systems, the future of Artificial Intelligence.
In the ever growing and changing world of machine learning and artificial intelligence, we are the Self Stacked Systems. Our team provides the latest in solutions for your company.
Our CEO, Dr Michael Commons, associate Professor of Psychiatry at Harvard, has spent his career studying learning. First animals, then people and now machines. A holder of several patents his methods are revolutionizing machine learning.
Check out our work, goals, latest developments, and news.
Machine Learning is changing our world. Self Stacked Systems is your partner in this breakthrough technology. Contact us today to see how we can help your organization.
OVERVIEW
Self Stacked Systems is a self-generative and self-improving general-intelligence algorithm.
As organisms develop, they achieve complex forms of learning.
As organisms develop, their neural structures also change.
Hence
As organisms’s neural structures change, they achieve more complex forms of learning.
We transduce this process into mathematical computing formulas.
GOAL
Our goal is to provide the most advanced Artificial Intelligence solution, capable of learning, improve, and evolve over time.
We achieve this by developing intelligent systems that are based on a self-generative and self-improving algorithm. This allows for natural development and evolution of the systems.
See detailed information in the applications section.
LATEST DEVELOPMENTS
Professor Michael Lamport Commons continues to generate research that further supports the Model of Hierarchical Complexity upon which this applications is based.
Dr. S. Leite is currently working as a Research Associate at Dare association and CINTESIS developing new applications for the Health industry using the SSS.
Professor Antonio Ramos da Silva is working as a Research Associate at Dare association, Aveiro University and ISEP developing new applications for the robotics and automation industry using the SSS.
NEWS
Professor Michael Lamport Commons continues to generate research that further supports the Model of Hierarchical Complexity upon which this applications is based.
Dr. S. Leite is currently working as a Research Associate at Dare association and CINTESIS developing new applications for the Health industry using the SSS.
Professor Antonio Ramos da Silva is working as a Research Associate at Dare association, Aveiro University and ISEP developing new applications for the robotics industry using the SSS.