Jamie Simon
Research Fellow @ Imbue (formerly Generally Intelligent)
About Jamie Simon
Jamie Simon is a Research Fellow from UC Berkeley, featured on a podcast episode discussing theoretical principles of neural network learning and generalization.
Known information
Jamie Simon holds the position of Research Fellow at UC Berkeley, where they engage in advanced studies and research. Simon gained wider recognition after being featured on a podcast episode titled ‘On theoretical principles for how neural networks learn and generalize.’ This appearance highlights their expertise and contributions to the field of neural network research, focusing on the theoretical underpinnings that help explain how these systems learn and generalize information.
About Imbue (formerly Generally Intelligent)
Imbue, previously known as Generally Intelligent, is a San Francisco-based company focused on developing AI systems that can reason and code, specifically targeting the B2B engineering, product, and design sectors.