

How Memristors Will Help Machines Think at Different Timescales
Dec 12, 2023
Malika Pavant, Head of the Emergent Intelligence Substrates Lab in Zurich, delves into the fascinating world of memristors and their transformative potential for machines. She explains how these devices enhance neural systems' efficiency by mimicking biological features. The conversation covers the importance of adaptability in autonomous robots and discusses new strategies for neural networks to function across varying timescales. Pavant highlights the synergy of resistive memory technologies with traditional silicon, paving the way for more intelligent machines.
Chapters
Transcript
Episode notes
1 2 3 4 5 6
Intro
00:00 • 4min
Understanding Memristors and Their Computational Potential
04:04 • 2min
Exploring Structure-Function Relationships in Neural Systems
06:03 • 2min
Memristors in Neuromorphic Computing
08:10 • 24min
Exploring Adaptability in Autonomous Robots
32:00 • 3min
Insights from Neuromorphic Computing
35:17 • 13min