Trenton Bricken

AI Researcher & PhD Student
Trenton Bricken is an AI researcher and PhD student in Systems, Synthetic, and Quantitative Biology, advised by Dr. Gabriel Kreiman. His research interests lie at the intersection of machine learning and neuroscience, focusing specifically on associative memory and vector symbolic architectures. Bricken's work contributes to understanding the biological foundations of intelligence and applying this knowledge to improve artificial intelligence systems. He is affiliated with Harvard University and has expressed interest in exploring questions around machine learning, neuroscience, and the implications...

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Exploring AI Model Behaviors and Features

1. Interpreting AI Models
2. Deciphering AI Behaviors
3. Complexity in AI Models
4. Principles of Model Features