Skule Lunch & Learn Presents: An Experimentalist’s View on Trusting AI and Its BFF (Data)

Artificial Intelligence (A.I.) is now a part of the standard physical scientist’s tool kit, and it is regularly used to discover exciting new materials and processes. But A.I.'s are famously fickle, susceptible to data set bias and imbalance, subject to information leakage during training, and reliant on its human to evaluate its performance.

Join us on April 13th as Professor Jason Hattrick-Simpers (MSE) discusses best practices for the implementation of A.I. techniques in the field of materials science, the challenges and successes of his research, and why he believes that robots can help us learn to better trust A.I.

Click HERE to view Professor Hattrick-Simpers bio.