Zoom link: https://upenn.zoom.us/j/98220304722 Over the last two decades we have developed good understanding how to quantify the impact of strategic user behavior on outcomes in many games (including traffic routing […]
Monitoring of oxygen concentration in biological tissues is essential for understanding cellular metabolism, mitochondrial function, and tissue regeneration. Mitochondrial dysfunction is linked to a wide range of metabolic and degenerative […]
This event will be in-person ONLY in Wu and Chen Auditorium. ABSTRACT The quest for intelligent robots capable of learning complex behaviors from limited data hinges critically on the design […]
Many materials we eat, spread, squeeze, or 3D print are gels, soft amorphous solids whose solid component comprises self-assembled networks of particles, fibers, or agglomerates of proteins, polymers, and colloids. […]
MRI remains the gold standard in neuroimaging, but its high costs, large footprint, and infrastructure requirements limit deployment in many settings—including intensive care units (ICUs), emergency vehicles, and neonatal intensive […]
Despite decades of research, we still do not know how the brain integrates the many features of an object into a coherent whole, or whether artificial systems perform similar binding. […]
As a major powerhorse for generative AI, diffusion models have demonstrated great successes in Euclidean spaces, such as for generating images and videos. This talk, on the other hand, will […]
The mechanical behavior of fiber network materials is characterized by large deformations before failure and a strain-stiffening stress-strain response. In this thesis, this is investigated using discrete simulations at the […]
Many of the robustness properties that are required for real-world applications of AI would be realized by a model that has understood the world. But it is unclear how to […]
This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom. ABSTRACT Marine robots have undergone significant growth, driven by recent advances in artificial intelligence, […]
Suspensions of filamentous materials, or filamentous suspensions, represent a unique class of complex fluids in which the interplay between particle anisotropy and filament interactions – both intra- and inter-filament associations –gives […]
The development of automated experimental facilities and the growing trend of experimental data digitization brought enormous opportunities for radically advancing laboratories. As many laboratory research tasks involve predicting and understanding […]