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[P] On the embedding of narratives, and how it pertains to computational neuroscience.

Hi!

I guess I’m kinda becoming a regular here ;P The feedback has honestly been astonishing so far guys! I absolutely love all the arguments/debates I have gotten from reddit.

I posted this a few weeks ago https://www.reddit.com/r/MachineLearning/comments/edrnin/project_topological_analysis_of_narratives/

The recent work on single neuron XOR made me want to create a post that gives a use case of studying biological neural coding so we can reapply it to deep learning.

I have a follow up on modern approaches to embedding narratives, where I evaluate a current WIP approach from a set of authors that for the time being have chosen to remain anonymous. (They will be named at a later date). I have posted it here: https://www.louiscastricato.com/post/on-the-embedding-of-narratives-and-how-it-pertains-to-computational-neuroscience

As before, rebuttals are more than welcome! The next follow up will be on reinforcement learning applied to comp narratology hopefully. Either that or I will discuss more about the scientific computing research behind topological data analysis. Perhaps give some tidbits about doing GPU accelerated TDA. (This is an ongoing project, I can’t share full details yet)

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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.