Cofounder RESEARCH

Building Cognitive A.I.

In Cofounder ai, Frank Frisby is working on an AI Project. Because the world is changing too fast for people to keep up.

Because tech is moving faster everyday, if we build a technology that can personally help people leap frog, they can continue to give their best.

He is researching possible ways to extract the cognitive features from the mind and employ these ideas as an architecture in machines.

Also, Frisby is working on systems that help deliver tangible advice to people so users are able to plan their life and activities. In essence, he is building an AI that can help through any issue.

There is a lot of mathematics and organization that goes into working on Artificial Intelligence (A.I). and Artificial General Intelligence (AGI).

For more details, reach out to Frank Frisby.

https://www.franktfrisby.com/

Frank Frisby built an autonmous A.I. Software that is still in R&D

Theoretical Ideas

Understanding human behavior from a mathematical standpoint helps with coming up with general yet simple algorithms that could resemble the mind.

Frisby has been working on different mathematical models that explore both breadth vs depth to help understand how the mind functions top down and bottom up.

There is on going research about how to expand compute as knowledge expands.

Link to the article shown to the right:

https://www.linkedin.com/pulse/optimizing-outcomes-peoples-lives-mathematical-approach-frank-frisby/

Also, Frank Frisby came up with models to reflect cognition and how it changes with age. visit the video in the research section.

https://www.youtube.com/watch?v=XV2NfPzK4WA

Frank Frisby wrote an article on how mathematics and A.I. can potentially help people if the A.I. understands how the world works.

Research & Development

Research has been the focus in the AI field trying to figure out models that could learn on their own. Many research institutions are working on ways to come up with an AI that acts as an agent and derive understanding.

Frisby has been working on a learning algorithm. He has been experimenting with different learning processes that could help the system learn and use a lot of meta data to draw conclusions.

Frank is inspired by the General Intelligence community such as Andrew Ng, Elon Musk, Demis Hassabis, Sam Altman, Yoshua Bengio, Joscha Bach, Ben Goertzel and Lex Fridman,

Hopefully I am able to catch up with this group of individuals working on AGI.

Frank Frisby talks about how different ML models could structurally be designed to build AGI.

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