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PRESENTATION ABSTRACT: Neurosymbolic programming (NSP) is an emerging area of computing that bridges the fields of deep learning and program synthesis. Like in classical machine learning, the goal here is to learn functions from data. However, these functions are represented as programs that use neural network modules as well as symbolic primitives and are induced using […] |
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This talk will be held in person in Glandt Forum; snacks will be served. Regenerative medicine is an interdisciplinary field that has significant promise for treating compromised tissues and organs. In our laboratory, we use a number of tools including biomaterials, organoids, quantitative modeling, and animal models to gain new fundamental understandings and identify therapeutic […] |
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"On Being Curious" What is curiosity? Is it an emotion? A behavior? A cognitive process? Curiosity seems to be an abstract concept — like love, perhaps, or justice — far from the realm of those bits of nature that science can possibly address. However, contrary to intuition, leading theories of curiosity from history, philosophy, and […] |
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MSE David P. Pope Distinguished Lecture: “Intelligentsia of Nano-Architected Hierarchical Materials”
MSE David P. Pope Distinguished Lecture: “Intelligentsia of Nano-Architected Hierarchical Materials”
Creation of reconfigurable and multi-functional materials can be achieved by incorporating architecture into material design. In our research, we design and fabricate three-dimensional (3D) nano-architected materials that can exhibit superior and often tunable thermal, photonic, electrochemical, biochemical, and mechanical properties at extremely low mass densities (lighter than aerogels), which renders them useful and enabling […] |
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Imperfect but useful physical models play a crucial role in planning and controlling robot locomotion and manipulation. However, as the field shifts toward complex real-world applications, model accuracy requirements are increasing while calibration data is becoming scarcer. Consequently, model inaccuracy or the sim2real gap often hinders the development of performant robotics algorithms. Frictional contact, the […] |
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By mirroring the success of biological systems, legged robots have the potential to be successful in almost every terrestrial environment. While legged machines have made significant advancements in the past 20 years, there still exists a considerable gap between what they can achieve and the abilities of animals. In this talk I’ll discuss some of […] |
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