Our science and research archive is a growing list of ideas, work, and experimentation reflective of our thinking. We are actively working to publish and share new research and promote new findings in the machine learning at large.
-
Read More
Academic Literature Relating To Gamalon Platform
We have noticed the emergence of several core architectural principles or axioms that seem necessary for machine learning systems to progress: Models Are Programs, and […]
-
Read More
Ben Vigoda MIT Media Lab
Ben Vigoda, Gamalon CEO, speaks at MIT Media Lab about Gamalon and how Gamalon helps you understand your customers.
-
Read More
Recognizing Drawings: Deep Learning Versus Idea Learning
In this video, we compare Gamalon’s new Idea Learning technology versus state-of-the-art deep learning while playing Pictionary: we draw something, and the system must guess what […]
-
Read More
TEDx Boston: When Machines Have Ideas
Our CEO, Ben Vigoda, gave a talk at TEDx Boston 2016 called “When Machines Have Ideas” that describes why building “stories” (i.e. Bayesian generative models) […]
-
Read More
Talking Machines Interview with Ben Vigoda
Listen to Katherine Gorman interview our CEO, Ben Vigoda, on Talking Machines.