Futuristic AI-Based Computing Devices: Physicists Simulate Artificial Brain Networks With New Quantum Materials

Complex Emergent Behaviors

Like biologically based systems (left), complex emergent behaviors—which arise when separate components are merged together in a coordinated system—also result from neuromorphic networks made up of quantum-materials-based devices (right). Credit: UCSD

Pandemic lockdown forces a new perspective on designs for futuristic AI-based computing devices.

Isaac Newton’s groundbreaking scientific productivity while isolated from the spread of bubonic plague is legendary. University of California San Diego physicists can now claim a stake in the annals of pandemic-driven science.

A team of UC San Diego researchers and colleagues at Purdue University have now simulated the foundation of new types of artificial intelligence computing devices that mimic brain functions, an achievement that resulted from the DOI: 10.1073/pnas.2103934118

The authors of the paper include: Uday Goteti, Ivan Zaluzhnyy, Shriram Ramanathan, Robert Dynes and Alex Frañó.

The research was supported through Q-MEEN-C, which is funded by the U.S. Department of Energy, Office of Science, Basic Energy Sciences (DE-SC0019273).