#29: Memory, Dynamics and AI Ethics with Leonard Bereska
Update: 2022-07-20
Description
In this episode, host Manuel Brenner is joined by Leonard Bereska.
Leonard Bereska is a PhD Candidate at University of Amsterdam, studying long term memory.
We discuss a dynamical systems perspective on neuroscience, how machine learning comes into play, and how this is connected to memory and models of memory in machine learning, AI ethics, consciousness, the role of noise, the connections between Bayesian models, ensemble methods and regularizations, companies and states as superhuman intelligences, dopamine, and many more topics.
Find Leonard's recent publications:
https://arxiv.org/abs/2206.13336
https://arxiv.org/abs/2207.02542
Stay tuned for more episodes:
https://mailchi.mp/0346443b6ddf/acit-global-signup
Leonard Bereska is a PhD Candidate at University of Amsterdam, studying long term memory.
We discuss a dynamical systems perspective on neuroscience, how machine learning comes into play, and how this is connected to memory and models of memory in machine learning, AI ethics, consciousness, the role of noise, the connections between Bayesian models, ensemble methods and regularizations, companies and states as superhuman intelligences, dopamine, and many more topics.
Find Leonard's recent publications:
https://arxiv.org/abs/2206.13336
https://arxiv.org/abs/2207.02542
Stay tuned for more episodes:
https://mailchi.mp/0346443b6ddf/acit-global-signup
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