CBE Seminar: “AI-Guided Closed-Loop Discovery of Photostable Light-Harvesting Molecules” (Charles Schroeder, UIUC)
Abstract: AI–guided closed-loop experimentation has recently emerged as a promising method to optimize functional properties in materials discovery. However, achieving the full potential of this approach in the chemical sciences […]
PICS Colloquium: Combining High-Throughput Workflows, Quantum Chemistry, and AI for the Discovery of Tunable Materials with Unprecedented Properties
The solutions to many of society’s most pressing problems rely on the discovery of materials with unprecedented physical and chemical properties that are tailored to an application of interest. Typically, […]
ASSET & Warren Center Research Mixer
The ASSET and Warren Center will be hosting a research mixer to welcome new PhD students and expose new and current students to the wide range of research in Penn […]
ASSET Seminar: “Towards Sustainable Artificial Intelligence and Datacenters”
Abstract: As the impact of artificial intelligence (AI) continues to proliferate, computer architects must assess and mitigate its environmental impact. This talk will survey strategies for reducing the carbon footprint […]
ASSET Seminar: “Machine Learning and Brain Imaging: Contributions to Diagnostics, Prognostication, and Treatment Guidance”
Abstract: Neuroimaging has significantly expanded our understanding of brain changes in neuropsychiatric disorders as well as in aging and neurodegenerative diseases. However, it wasn’t until the advent of machine learning […]
ASSET Seminar: “Multi-Omic Approaches for Deciphering Cellular Heterogeneity and Plasticity in Cancer”
Abstract: Tumors are complex and heterogeneous systems, which challenge their classification and treatment. The Silverbush lab decodes tumor heterogeneity and plasticity to understand how cancer cells transform to become more […]
ASSET Seminar: “Control with Coarse Measurements: Perception Contracts and Indistinguishable Sets”
Abstract: Performance of control systems depend on the nature of available measurements. Perception of edges, keypoints, landmarks and other natural semantic features make certain coarse measurements available to control systems operating in […]
ASSET Seminar: “Some Displaced Vignettes on Generalized Notions of Equivariance”
Abstract: The explicit incorporation of task-specific inductive biases through symmetry has emerged as a crucial design precept in the development of high-performance machine learning models. Symmetry-aware neural networks, such as […]
ASSET Seminar: “What’s In my Network? On Learned Proximals and Testing for Explanations”
Abstract: Modern machine learning methods are revolutionizing what we can do with data, from tiktok video recommendations to biomarkers discovery in cancer research. Yet, the complexity of these deep models […]
ASSET Seminar: “Advancing Diffusion Models for Text Generation”
Abstract: Transformer-based language models have undoubtedly become the dominant and favorite architecture for language generation of our time. However, although they provide impressive text quality, they tend to be hard […]