Niels Leadholm on Hierarchical Feature Binding and Robust Machine Vision - September 16th, 2020

Niels Leadholm, a visiting researcher, discusses his (recently de-anonymized) PhD research on hierarchical feature binding and robust machine vision. He first explores the issue of robust machine vision and his motivation in developing a deep-learning neural network architecture using a biologically-inspired approach. Many AI systems nowadays are vulnerable to adversarial examples. Niels explains how the characteristics of “feature binding,” which happens in a primate’s brain, can be implemented in machine learning systems to enhance robustness.

If you want to follow Niels’ work, you can follow him on Twitter (@neuro_AI).

Interested in being a visiting researcher at Numenta? Apply to our Visiting Scholar Program here: https://numenta.com/company/careers-a...
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