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Product
Gigala leverages AI and numerical methods for engineering analysis and simulation.
At present, Gigala software consists of two moduli: topology optimization and offshore pipelay dynamics (now separated into Ocean Intella software). It uses artificial intelligence to assist an engineer in her design. You can use it as research or engineering analysis tool to design different mechanical elements and components.
Mission
Unlocking the fabric of reality.
Technological explosion, meaning an exponential growth in the rate of scientific discoveries, will happen when everyone gets access to powerful algorithms which are hard to realise these days. At Gigala, I am on the quest to make this happen sooner by applying artificial intelligence driven generative design to provide solutions in science and engineering. Currently, I focus on the reinforcement learning guided design of structural and mechanical elements and components. But I am constantly expanding into the new ways that AI can be applied to STEM.
Resources
Access latest news and developments of the project.
Guides
Read documentation on using Gigala models.
FAQ
Find the answers for the most frequently asked questions below
How can I participate in the project?
You can contact me via the support link, ResearchGate or e-mail me at gigatskhondia@gmail.com to discuss potential collaborations.
What do I get as a sponsor?
You will get an ability to take active part in discussions about future features of the product, accounting for the best practices of open-source communities.
Who is an intended audience for your software?
Students, engineers, and researchers. People who want to learn more about new ways to combine AI and engineering analysis.
Is it more a research driven product or commercially oriented one?
It is kind of both. I believe that no modern product can be developed without a cutting edge research. But I do have intentions to commercialize it. Hence, I try to approach the development process as both industry and academic standards.
Does it have a GUI?
No. Currently, my software has basic visualization only but, in the future, I intend to add more visualization capablities.
How does your product differ from others?
It is an artificial intelligence driven product. I combine AI with classical engineering methods. For example, I include topology optimization by reinforcement learning and evolutionary algorithms in my software.
Selected Press
People
Giorgi Tskhondia (aka Giga; aka Georgy A. Tskhondiya): independent researcher, PhD in mathematical modeling, ex subsea pipelines installation engineer, data science professional.