Join us for a seminar from Francesca Tavazza from the National Institute of Standards and Technology (NIST). Her talk, “Autonomous Experimentation in Materials Science,” will occur in Maryland Hall room 110 at 3pm on Wednesday, November 19.
Abstract: Autonomous Experimentation in Materials Science
While Artificial Intelligence (AI) applications in everyday life are now very common, AI for science is still in early stages because of its intrinsic difficulties. Among those, the fact that scientific data are scarce, expensive to generate, and the investigated phenomena are complex and multi-faceted. Nevertheless, the potential of AI to revolutionize research is enormous, including the ability to conduct Autonomous Experimentation. Autonomous Experimentation (AE) uses automation (e.g., robots) for physical task and decision algorithms (or AI) to perform data analysis and select the next best experiment. AE eliminates much of the slow, tedious, and error-prone human labor that characterizes traditional experimental work, removing human bias and yielding greater experimental repeatability, all the while generating more knowledge from fewer experiments. In this talk we discuss a few examples of successful application of autonomous experimentation as well as its currents drawbacks and possible solutions. Among those, the need for standards/protocols to reduce the cost of autonomous platforms.
Bio: Francesca Tavazza
Coming soon!