Understanding a microprocessor and the evolution of hardware

This week we are joined by Julius Adebayo. Julius is a CS PhD student at MIT, interested in safe deployment of ML based systems as it relates to privacy/security, interpretability, fairness and robustness.

He is motivated by the need to ensure that ML based systems demonstrate safe behaviour when deployed.

On this weeks episode we discuss how the evolution of hardware has progressed overtime and what that means for deep learning research. We also analyse how microprocessors can aid developments in neuroscience understanding.

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Julius Adebayo Twitter: https://twitter.com/julius_adebayo

Please let us know who you thought presented the most underrated paper in the form below: https://forms.gle/97MgHvTkXgdB41TC8

Links to the papers:

"Could a Neuroscientist Understand a Microprocessor?" [paper]

"When will computer hardware match the human brain?" - [paper]