Abstract As mixed reality systems become popular, new threats to their security and privacy arise, and it is important to understand these emerging threat models and their possible defenses. In this talk, I will discuss recent and ongoing work on mixed reality security and streaming, focusing on three aspects. First, I will discuss system-level attacks […]
Society for Women in Science: Women in the History of Quantum Physics Physics building Room 130 October 16, 3:30 pm - 4:30 pm Speaker(s): Daniela Monaldi The book Women in the History of Quantum Physics: Beyond Knabenphysik is the result of an international, interdisciplinary project initiated as part of the broader effort to celebrate the […]
Abstract Recent advances in heterogeneous integration and advanced packaging technology have enabled the combination of multiple functionalities into a single system. Among various, remote epitaxy techniques, which we have pioneered since 2017, has shown great potential for producing single-crystalline compound materials, such as III-V, III-N, and complex oxides on 2D materials. The slippery surface of […]
Abstract: As the energy demands of computing escalate, especially with the growing prevalence of AI, there is a critical need to enhance both the efficiency and sustainability of computing systems. This talk will first present strategies for designing energy- and temperature-aware systems using advanced design and packaging techniques, including 3D integration, on-chip photonics, and optically […]
While there have been huge advances in Machine Learning in recent years, many of the successes have relied on immense amounts of training data. Especially for sequential-decision-making tasks (the realm of reinforcement learning), obtaining such data from online experience can take a very long time. On the other hand, learning can often be dramatically accelerated […]
Rydberg atoms in fundamental physics and quantum-technology applications Georg Raithel, Professor of Physics, University of Michigan Rydberg atoms, which are atoms with a tenuously bound valence electron, are highly sensitive to external electromagnetic fields and to other atoms. Fundamental work on cold Rydberg atoms and ions includes the study of molecular bonding based on low-energy […]
Research in stroke risk prediction and prevention is enhanced by the inclusion of a broad range of data from different patient cohorts. Integrating and harmonizing multiple data sources increases generalizability, sample size, and representation of understudied populations-strengthening the evidence for the scientific questions being addressed. In an AI Health Virtual Seminar presented earlier this year, […]
Abstract The talk will be self-contained and no background on conformal prediction is required. Conformal prediction is a mathematical framework for uncertainty quantification of machine learning models. Originated from Statistics, this framework is now considered as one of the main tools for constructing uncertainty sets around the predictions obtained by modern machine learning models such […]
This workshop engages students in an exciting, interactive scavenger hunt and rescue mission, using coding and robotics to simulate a real-world challenge. It fosters teamwork, critical thinking, and hands-on learning with the Sphero RVR+ robot, enhancing students' understanding of sensors, programming, and robotics applications.
