Quantum matter for artificial intelligence and brain sciences

Invited

Abstract

Intelligence in the animal kingdom spans primitive capabilities concerning survival to advanced collective behavior involving co-operation. These field observations serve as inspiration to understand the fundamental mechanisms governing adaptive behavior in nature and further ponder how they may be adapted into the physical world. I will present some biology literature examples of intelligence in non-neural and neural organisms and the underlying features of biological plasticity. I will then discuss mechanisms and realization of electronic plasticity in strongly correlated quantum matter that enable mimicry of several fundamental features of living beings. These properties naturally are suited to implement in machine learning. I will give an example of our recent collaborative study concerning memory loss in electron-doped quantum perovskites and how this property can mimic lifelong learning.

Presenters

  • Shriram Ramanathan

    Purdue Univ, Materials Engineering, Purdue University, School of Materials Engineering, Purdue University

Authors

  • Shriram Ramanathan

    Purdue Univ, Materials Engineering, Purdue University, School of Materials Engineering, Purdue University