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Lithium metal battery systems (LMBs) are being sought as an ultimate replacement to LIBs, potentially increasing the cell energy by over fifty percent due to the high capacity and low voltage of the metal anode. Analogous improvement in energy is possible with sodium metal batteries (NMBs) and with potassium metal batteries (KMBs), where existing ion […] |
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The ever-growing world population demands material consumption and drives material discovery. The progress of modern society accompanies the advent of advanced materials to enable new performance and functionalities, as epitomized by the invention of two most representative man-made materials: steels (4000 years ago) and petroleum-derived plastics (~80 years ago). The widespread use of steels (and […] |
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Presentation Abstract: Machine learning provides us with an amazing set of tools to make predictions, but how much should we trust particular predictions? To answer this, we need a way of estimating the confidence we should have in particular predictions of black-box models. Standard tools for doing this give guarantees that are averages over predictions. […] |
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GRASP Lab faculty confirmed presentations (where appropriate their presenters)... *This is a HYBRID Event with in-person attendance in Wu & Chen Auditorium and virtual attendance via Zoom. Dr. Mark Yim (Welcome & Introduction) Dr. Pratik Chaudhari Dr. Kostas Daniilidis Dr. Eric Eaton Dr. Dinesh Jayaraman Dr. Michelle Johnson (presented by Francis Sowande) Dr. Michael Posa […] |
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Please join us on Tuesday, September 13 for a series of short research talks by MEAM faculty. Five MEAM faculty will give "flash talks" to introduce their research activities and recent work. This is an excellent opportunity for current graduate students to learn about ongoing research in the Department. |
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Presentation Abstract: Alice submits a number of papers to a machine learning conference and has knowledge of the quality of her papers. Given noisy grades provided by independent reviewers, can Bob obtain accurate estimates of the ground-truth quality of the papers by asking Alice a question about the ground truth? In this talk, we address […] |
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Fibrosis and remodeling of extracellular matrix are involved in many diseases, such as tumors, wound healing, and chronic inflammation. During fibrosis, tissues undergo changes in their viscoelastic properties, i.e., how they resist deformation like a solid and dissipate stress over time like a fluid. My research program determines the impact of viscoelasticity on inflammation in […]
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How did scientists make sense of data before statistics and computing? This talk will explore this question by focusing on the discovery of vitamins, which occurred in the early 20th century just before the advent of modern statistical methodology. I will describe the varied practices in experimentation and reporting and highlight the sorts of insights […]
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This is a hybrid seminar held in Glandt Forum (Singh Center) and via Zoom. Check email for the zoom link or contact cd0318@seas.upenn.edu. "Synthetic Embryology for Constructing Human Embryo and Organ Models" Early human development remains mysterious and difficult to study. Recent advances in developmental biology, stem cell biology, and bioengineering have contributed to a […] |
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GRASP Lab faculty confirmed presentations (where appropriate their presenters)... *This is a HYBRID Event with in-person attendance in Wu & Chen Auditorium and virtual attendance via Zoom. Dr. Ani Hsieh (Welcome and introductions) Dr. Nadia Figueroa Dr. Daniel Koditschek Dr. Vijay Kumar (presented by Kelsey Saulnier) Dr. Nik Matni (presented by Thomas Zhang) Dr. Marc […]
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Abstract: Dawid gives two conceptualizations for models of individual probabilities: “Group to Individual” and “Individual to Group”. A classical concern about the “Group to Individual” view of probability is the reference class problem: Given that we can empirically measure only averages over many individuals, which group or “reference class” do we choose to average over […] |
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Metamodels, or models of models, map defined model inputs to defined model outputs. When metamodels are constructed to be computationally cheap, they are an invaluable tool for applications ranging from topology optimization, to uncertainty quantification, to real-time prediction, to multi-scale simulation. In particular, for heterogeneous materials, metamodels are useful for exploring the influence of the […] |
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Presentation Abstract: There is a significant interest in developing ML algorithms whose final predictions can be explained in domain-specific terms that are understandable to a human. Providing such an “explanation” can be crucial for the adoption of ML algorithms in risk-sensitive domains such as healthcare. This has motivated a number of approaches that seek to […]
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*This will be a HYBRID Event with in-person attendance in Levine 307 and Virtual attendance via Zoom. In this talk, I will provide a brief introduction about our recent progress in applying optimal control and deep reinforcement learning (RL) on legged robots in the real world. I will then dive into our recent work to […]
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For functional materials that are in a nascent stage, such as the antiferromagnetic spintronics, quantum information storage, and new semiconducting compounds, it is not clear what will be the high-performance materials of tomorrow. There is a pressing need to examine the complex properties of these emerging materials, and growing single crystals is a crucial step […] |
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This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom. Dr. James Pikul Simon Kim, AIA (via Zoom) Dr. Rahul Mangharam Dr. Robert Stuart Smith (via Zoom) For more details, please check out the full speaker line-up here.
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Abstract: In a combinatorial auction there are m items, and each of n players has a valuation function v_i which maps sets of items to non-negative reals. A designer wishes to partition the items into S_1,…,S_n to maximize the welfare (\sum_i v_i(S_i) ), perhaps assuming that all v_i lie in some class V (such as […]
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Effective control of epidemics, individualized medicine, and new drugs with virologic response-dependent dose and timing require, among other things, simple, inexpensive, multiplexed molecular detection platforms suitable for point of care and for home use. Conventional molecular detection methods such as PCR tests, require bulky and expensive equipment, trained personnel, and specialized laboratories, limiting their use […] |
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Fall 2022 Hybrid-Seminar Series Mondays 1.00-2.00 pm (EST) Towne 225 / Raisler Lounge For Zoom link, please contact <manu@seas.upenn.edu |
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The study of the early universe requires deep high-resolution maps of the sky at millimeter and submillimeter. This requires the development of state-of-the-art cryogenic receivers and custom built telescopes. These instruments operate in extreme locations including from NASA launched high-altitude balloons over Antarctica and high (5,200m/17,000ft) mountain tops in Northern Chile adding a level of […] |
3 events,
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ABSTRACT Traditional convolutional networks exhibit unprecedented robustness to intraclass nuisances when trained on big data. Generalization with respect to geometric transformations has been achieved via expensive data augmentation. It has been shown recently that data augmentation can be avoided if networks are structured such that feature representations are transformed the same way as the input, a desirable property called equivariance. In […]
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Nanolattices exhibit attractive mechanical, energy conversion, and optical properties, but it is challenging to fabricate nanolattices in large scale while maintaining the dense hierarchical nanometer features that enable their properties. Current advanced fabrication methods, like 3D printing or self-assembly, are significantly limited by their scalability or the cracking problem in the assembled templates. This work […]
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*This will be a HYBRID Event with in-person attendance in Levine 307 and Virtual attendance via Zoom here… ABSTRACT With the maturing of AI and multiagent systems research, we have a tremendous opportunity to direct these advances towards addressing complex societal problems. I will focus on domains of public health and conservation, and address one key cross-cutting challenge: how to effectively deploy our […] |
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*This is a HYBRID Event with in-person attendance in Levine 307 and virtual attendance via Zoom. ABSTRACT Event cameras are novel vision sensors that mimic functions from the human retina and offer potential advantages over traditional cameras (low latency, high speed, high dynamic range, etc.). They acquire visual information in the form of pixel-wise brightness […]
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Different from neuron-based computational intelligence through the brain, physical intelligence leverages structural designs and smart materials to physically encode sensing, actuation, control, adaption, and decision-making into the body of an agent. The stimuli-responsive body materials can enable autonomous sensory, actuation, powering, and other physical intelligence functions. The structural designs of soft body can simplify the […] |
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This seminar is for internal Penn students and faculty only. ABSTRACT An overview of Intellectual Property and a discussion on best practices for protecting your creations and ideas in light of employment obligations.
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Abstract Sensing and actuation systems are entrusted with increasing intelligence to perceive the environment and react to it. Their reliability often relies on the trustworthiness of sensors. As process automation and robotics keep evolving, sensing methods such as pressure/temperature/motion sensing are extensively used in conventional systems and rapidly emerging applications. This talk aims to investigate […] |
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