
Why Deep Networks and Brains Learn Similar Features with Sophia Sanborn - #644
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Geometric Insights in Machine Learning
This chapter explores the integration of geometric properties in biological systems with machine learning, emphasizing how these connections can enhance data analysis in fields like medical imaging. It also discusses the parallels between neuroscience and artificial neural networks, highlighting ongoing resources and workshops for further exploration in these dynamic fields.
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