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.
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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 […]
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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 […]
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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) […]
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Talking Machines Interview with Ben Vigoda
Listen to Katherine Gorman interview our CEO, Ben Vigoda, on Talking Machines.