Soft robots have the potential to adapt their morphologies and behavioral control policies to changing tasks and environments. Inspired by the dynamic plasticity of living organisms and the general adaptability […]
Abstract: Neurological conditions are the leading cause of illness worldwide, though over 92% of clinically tested CNS drug candidates fail to become treatments. Contributing to this high failure rate is […]
Metals powders like aluminum and boron are attractive potential fuel additives for pyrotechnics, propellants and explosives due to their high energy release upon oxidation. However, they tend to agglomerate, have […]
Our exponential technologies for reading, writing genomes and epigenomes combined with AI-ML has enabled large libraries and selections for radical new functions — e.g. resistance to all viruses, novel delivery […]
This will be a hybrid event with in-person attendance in Wu and Chen and virtual attendance on Zoom. ABSTRACT Motivated by the ever-increasing success of machine learning in language and […]
Reliable forecasts of the Earth system are crucial for human progress and safety from natural disasters. Artificial intelligence offers substantial potential to improve prediction accuracy and computational efficiency in this […]
This will be a hybrid event with in-person attendance in Towne 100 Heilmeier Hall and virtual attendance on Zoom. ABSTRACT In this talk, I present an approach for interpreting the […]
Abstract: The discovery of functional molecules plays a fundamental role in advancing chemical science and engineering, yet it remains a costly and time-intensive process. Recent advances in computational methods, particularly […]
Zoom link: https://upenn.zoom.us/j/98843354016
