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DTSTART;TZID=America/New_York:20240226T180000
DTEND;TZID=America/New_York:20240226T190000
DTSTAMP:20260404T120855
CREATED:20240223T205636Z
LAST-MODIFIED:20240223T205636Z
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SUMMARY:PRECISE Seminar: Image Curation for AI in Ophthalmology
DESCRIPTION:This presentation will explore the critical process of curating medical imaging data for AI algorithm development in ophthalmology\, highlighting the challenges and current limitations in data curation. It will discuss benchmark datasets\, reference standards for FDA validation\, and innovative strategies to enhance data availability. Attendees will gain insights into best practices and future directions in image curation for advancing AI applications in eye care.
URL:https://seasevents.nmsdev7.com/event/precise-seminar-image-curation-for-ai-in-ophthalmology/
LOCATION:https://upenn.zoom.us/j/93008201901
ORGANIZER;CN="PRECISE":MAILTO:wng@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240227T100000
DTEND;TZID=America/New_York:20240227T103000
DTSTAMP:20260404T120855
CREATED:20240219T135815Z
LAST-MODIFIED:20240219T135815Z
UID:10007864-1709028000-1709029800@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Harnessing Mechanobiology for Therapeutic Innovations: From Brain Tumors to Kidney Tissues"
DESCRIPTION:Engineered\, personalized tissues are transforming healthcare by accelerating clinical testing and serving as cell-based therapies. The emergence of induced pluripotent stem cells coupled with innovations in biomanufacturing and cellular engineering have rapidly advanced engineered tissue cellular and structural complexity. However\, generating functional\, mature tissues remains an enormous challenge. Control over biophysical forces governing development and disease is ultimately required to build functional tissue\, and engineered tissues can simultaneously illuminate opportunities to therapeutically modulate mechanical cues. In the first part of my talk\, I will explain how I leveraged hydrogel-based models to investigate cell-matrix interactions driving brain tumor cell invasion. While studies have traditionally focused on integrin-driven invasion\, this work elucidated how the transmembrane receptor CD44 directly contributes to cell motility in the brain and may represent an important therapeutic target. In the second part of my talk\, I will describe the biofabrication of a stem cell-derived kidney collecting duct on-chip. Collecting ducts are a major site for kidney disease and dysfunction\, and this on-chip model could serve as a platform to study flow-dependent function in patient-derived cells. Moreover\, I demonstrate that scalable organoid culture methods combined with bioprinting offers a promising approach to integrating these collecting ducts with biomanufactured kidney tissues. Moving forward\, the combination of stem-cell derived tissues and organoids with the ability to control mechanical cues establish a paradigm for investigating the mechanobiology of the urogenital tract\, with potential applications in kidney and reproductive health.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-harnessing-mechanobiology-for-therapeutic-innovations-from-brain-tumors-to-kidney-tissues/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240227T110000
DTEND;TZID=America/New_York:20240227T120000
DTSTAMP:20260404T120855
CREATED:20240201T135754Z
LAST-MODIFIED:20240201T135754Z
UID:10007840-1709031600-1709035200@seasevents.nmsdev7.com
SUMMARY:ESE & CIS Spring Seminar - "Towards Transparent Representation Learning"
DESCRIPTION:Machine learning models trained on vast amounts of data have achieved remarkable success across various applications. However\, they also pose new challenges and risks for deployment in real-world high-stakes domains. Decisions made by deep learning models are often difficult to interpret\, and the underlying mechanisms remain poorly understood. Given that deep learning models operate as black-boxes\, it is challenging to understand\, much less resolve\, various types of failures in current machine learning systems. \nIn this talk\, I will describe our work towards building transparent machine learning systems through the lens of representation learning. First\, I will present a white-box approach to understanding transformer models. I will show how to derive a family of mathematically interpretable transformer-like deep network architectures by maximizing the information gain of the learned representations. Furthermore\, I will demonstrate that the proposed interpretable transformer achieves competitive empirical performance on large-scale real-world datasets\, while learning more interpretable and structured representations than black-box transformers. Next\, I will present our work on training the first set of vision and vision-language foundation models with rigorous differential privacy guarantees\, and demonstrate the promise of high-utility differentially private representation learning. To conclude\, I will discuss future directions towards transparent and safe AI systems we can understand and trust.
URL:https://seasevents.nmsdev7.com/event/ese-spring-seminar-tbd-4/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240227T153000
DTEND;TZID=America/New_York:20240227T163000
DTSTAMP:20260404T120855
CREATED:20240214T151249Z
LAST-MODIFIED:20240214T151249Z
UID:10007858-1709047800-1709051400@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Decision Making with Internet-Scale Knowledge"
DESCRIPTION:Machine learning models pretrained on internet data have acquired broad knowledge about the world but struggle to solve complex tasks that require extended reasoning and planning. Sequential decision making\, on the other hand\, has empowered AlphaGo’s superhuman performance\, but lacks visual\, language\, and physical knowledge about the world. In this talk\, I will present my research towards enabling decision making with internet-scale knowledge. First\, I will illustrate how language models and video generation are unified interfaces that can integrate internet knowledge and represent diverse tasks\, enabling the creation of a generative simulator to support real-world decision-making. Second\, I will discuss my work on designing decision making algorithms that are compatible with generative language and video models as agents and environments. Combining pretrained language and video models with decision making algorithms can effectively solve a wide range of tasks such as developing chatbots\, learning robot policies\, and discovering novel materials
URL:https://seasevents.nmsdev7.com/event/cis-seminar-decision-making-with-internet-scale-knowledge/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240228T120000
DTEND;TZID=America/New_York:20240228T131500
DTSTAMP:20260404T120855
CREATED:20230928T142435Z
LAST-MODIFIED:20230928T142435Z
UID:10007714-1709121600-1709126100@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: "Large Language Models in Medicine: Opportunities and Challenges" (Mark Dredze\, Johns Hopkins University)
DESCRIPTION:ABSTRACT: \nThe rapid advance of AI driven by Large Language Models (LLMs)\, like ChatGPT\, has led to impressive results across a range of different use cases. This has included several models developed for the medical domain which have exhibited surprising behaviors\, such as answering medical questions and performing well on medical licensing exams. These results have demonstrated the coming transformation of medicine by AI. In this talk\, I will provide an overview of some of the recent advances in this area\, and discuss challenges and opportunities for the use of these models in medicine. \n  \nZOOM LINK (if unable to attend in-person): https://upenn.zoom.us/j/99469144782 \n 
URL:https://seasevents.nmsdev7.com/event/asset-seminar-mark-dredze-johns-hopkins-university/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240228T150000
DTEND;TZID=America/New_York:20240228T160000
DTSTAMP:20260404T120855
CREATED:20240219T220421Z
LAST-MODIFIED:20240219T220421Z
UID:10007866-1709132400-1709136000@seasevents.nmsdev7.com
SUMMARY:Spring 2024 GRASP SFI: Spring Berman\, Arizona State University\, "Scalable Control of Distributed Robotic Systems for Environmental Sensing and Interaction"
DESCRIPTION:This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. This week’s speaker will be virtual. \nABSTRACT\nVarious applications for autonomous multi-robot systems\, such as disaster response\, infrastructure repair\, agricultural operations\, contaminant cleanup\, and wildfire suppression\, will require these systems to act as distributed sensors\, sources\, and manipulators in uncertain environments\, often without global localization or extensive inter-robot communication. This talk will present dynamical model-based approaches to controlling mobile robot collectives and soft modular robots that operate under such constraints using local sensing and local or no communication. By applying feedback control and optimization techniques to models that describe the dynamics of a continuous abstraction of the system and its individually controllable components\, including their stochastic behaviors\, scalable control strategies can be designed for a variety of objectives. This talk will discuss strategies for the particular objectives of mapping and control of scalar environmental fields by robotic swarms\, cooperative object transport by groups of mobile robots\, and reconfiguration of multi-segment continuum robots. The control strategies are illustrated in numerical and physics-based simulations and in experiments with robotic hardware.
URL:https://seasevents.nmsdev7.com/event/spring-2024-grasp-sfi-spring-berman/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240228T153000
DTEND;TZID=America/New_York:20240228T163000
DTSTAMP:20260404T120855
CREATED:20240116T181347Z
LAST-MODIFIED:20240116T181347Z
UID:10007809-1709134200-1709137800@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "Deep Learning-Enabled Design of Functional DNA-Binding Properties" (Cameron Glasscock\, University of Washington)
DESCRIPTION:Abstract\nDNA-binding proteins (DBPs) play critical roles in biology and biotechnology\, and there has been considerable interest in the engineering of DBPs with new functions or altered specificities. While there has been success in reprogramming and the specificity of naturally occurring DBPs using selection methods\, the computational design of new DBPs that engage with DNA remains an outstanding challenge. Addressing this challenge would lead to new solutions for programmable recognition and manipulation of DNA sequence and structure; and ultimately enable new possibilities for synthetic gene regulation\, DNA-modifying enzymes\, and many other applications. In this talk\, I will describe the development and experimental validation of a computational method for the design of small DBPs that recognize specific target sequences through interactions with bases in the major groove. I will then describe progress towards a generalizable framework for deep-learning enabled design of custom DNA-binding proteins. I will conclude by summarizing my view of the future prospects for this new framework.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-deep-learning-enabled-design-of-functional-dna-binding-properties-cameron-glasscock-university-of-washington/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240229T103000
DTEND;TZID=America/New_York:20240229T120000
DTSTAMP:20260404T120855
CREATED:20240214T182354Z
LAST-MODIFIED:20240214T182354Z
UID:10007859-1709202600-1709208000@seasevents.nmsdev7.com
SUMMARY:MSE SEMINAR "Scalable Classical and Quantum Light Sources"
DESCRIPTION:Classical and quantum light sources play a fundamental role in science and technology from quantum computing\, to communications\, manufacturing\, defense\, sensing\, medicine\, or imaging. However\, scaling the power of lasers has always come at the cost of single mode operation\, a scaling question that has been investigated\, without success\, since the invention of lasers in 1958. In the first part of the talk\, I will propose a solution to this question and discuss a “scale-invariant” laser that remains single mode irrespective of its cavity size. I will show that the discovered strategy\, named Berkeley Surface Emitting Laser (BerkSEL)\, goes beyond the Schawlow-Townes two-mirror strategy that is used by all existing lasers. I will conclude that mirrors are bad for the scaling of lasers [1]. I will also briefly discuss topological lasers that my group pioneered [2-4]. In the second part of the talk\, I will discuss a scalable quantum optics platform fully based on silicon with potential applications in future quantum networks [5]. \nReferences.\n1- R. Contractor\, W. Noh\, W. Redjem\, W. Qarony\, E. Martin\, S. Dhuey\, A. Schwartzberg\, and B. Kanté\, “Scalable single-mode\nsurface emitting laser via open-Dirac singularities\,” Nature 608\, 692–698 (2022).\n2- B. Bahari\, A. Ndao\, F. Vallini\, A. El Amili\, Y. Fainman\, B. Kanté\, “Nonreciprocal lasing in topological cavities of arbitrary\ngeometries\,” Science 358\, 636-640 (2017).\n3- B. Bahari\, L. Hsu\, S. H. Pan\, D. Preece\, A. Ndao\, A. El Amili\, Y. Fainman\, and B. Kanté\, “Photonic quantum Hall effect and\nmultiplexed light sources of large orbital angular momenta\,” Nature Physics 17\, 700–703 (2021).\n4- A. Kodigala\, T. Lepetit\, Q. Gu\, B. Bahari\, Y. Fainman\, and B. Kanté\, “Lasing Action from Photonic Bound States in\nContinuum\,” Nature 541\, 196 – 199 (2017).\n5- W. Redjem\, Y. Zhiyenbayev\, W. Qarony\, V. Ivanov\, C. Papapanos\, W. Liu\, J. Jhuria\, Z. Y. Al Balushi\, S. Dhuey\, A.\nSchwartzberg\, L. Z. Tan\, T. Schenkel\, and B. Kanté\, “All-silicon quantum light source by embedding an atomic emissive center\nin a nanophotonic cavity\,” Nature Communications 14\, 3321 (2023).
URL:https://seasevents.nmsdev7.com/event/mse-seminar-scalable-classical-and-quantum-light-sources/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240229T110000
DTEND;TZID=America/New_York:20240229T120000
DTSTAMP:20260404T120855
CREATED:20240201T140107Z
LAST-MODIFIED:20240201T140107Z
UID:10007841-1709204400-1709208000@seasevents.nmsdev7.com
SUMMARY:ESE Spring Seminar - "Structuring light to reveal the invisible"
DESCRIPTION:From quantum physics to cosmology\, researchers aim to see things which are typically invisible – be it the entanglement of two particles or infrared signatures from space. In these and various other fields\, we are confronted by a common challenge: What we can see with our own eyes or observe using standard optical imaging systems is limited to a small fraction of the information that the detected light actually carries. Two-dimensional (2D)\, flat images\, such as a photo\, only reveal the intensity and visible color of the light coming to us from an optical scene. However\, light contains a wealth of information on the three-dimensional (3D) position\, angle of incidence\, spectral content\, amplitude\, phase\, polarization\, optical angular momenta\, and coherence\, amongst others. In fact\, if light interacts with media\, nature will give us structured light that is spatially varying in the named properties in a fashion that depends on the interaction. In this talk\, I will present how we can use these kinds of structured light fields to extract information from an optical scene and\, vice versa\, how structured light can serve as an excitation or probing tool to gain access to usually invisible information. In this context\, we will explore “optical vortices” in phase and polarization\, their generation\, and application. Moreover\, we will gain insights into the nanoscale and quantum features of structured light and its leading role for next-generation imaging and sensing techniques.
URL:https://seasevents.nmsdev7.com/event/ese-spring-seminar-tbd-5/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240229T153000
DTEND;TZID=America/New_York:20240229T163000
DTSTAMP:20260404T120855
CREATED:20240108T171827Z
LAST-MODIFIED:20240108T171827Z
UID:10007795-1709220600-1709224200@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Systems Immunology Approaches for Tissue Repair and Regeneration" (Andres Munoz-Rojas\, Harvard)
DESCRIPTION:The immune system uses a complex network of interacting cells that work together to regulate tissue physiology\, homeostasis\, and repair. In muscle\, a tightly coordinated network of immunocytes and mesenchymal stromal cells (MSCs) is required for adequate skeletal muscle repair after acute injury or disease. Regulatory T cells (Tregs) are important players in regulating excessive inflammation and potentiating regeneration\, but the extent of intercellular communications underlying their functions remains poorly understood. In this seminar\, I will discuss my efforts in developing systems immunology approaches to dissect the dynamic communication networks between muscle Tregs and MSCs in a time-resolved study of skeletal muscle injury. Bringing together tools from single-cell and computational biology\, engineering\, and immunology\, we uncovered distinct communication pathways important for the recruitment and induction of regenerative Tregs and the potentiation of muscle repair. This work identifies novel regulatory pathways that can inform therapeutic approaches for muscle-related pathologies.
URL:https://seasevents.nmsdev7.com/event/be-seminar-andres-munoz-rojas-harvard/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240229T153000
DTEND;TZID=America/New_York:20240229T163000
DTSTAMP:20260404T120855
CREATED:20240209T134617Z
LAST-MODIFIED:20240209T134617Z
UID:10007854-1709220600-1709224200@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: " Secure systems from insecure components"
DESCRIPTION:In many computer systems today\, an attacker that breaks one system component can steal data from millions of users. In this talk\, I will present three systems that can withstand component compromise. I will describe (1) a single sign-on system that protects user security and privacy from a compromised single sign-on server\, (2) a secure-hardware-based backup service that protects user backups from compromised secure hardware devices\, and (3) a web search engine that protects user queries from a compromised search engine. These systems provide strong security and privacy properties while taking into account practical constraints such as compatibility requirements\, hardware limitations\, and user expectations. Each splits user secrets across different system components\, using new cryptographic tools to provide necessary functionality while protecting user data.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-secure-systems-from-insecure-components/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240301T103000
DTEND;TZID=America/New_York:20240301T114500
DTSTAMP:20260404T120855
CREATED:20240103T193132Z
LAST-MODIFIED:20240103T193132Z
UID:10007785-1709289000-1709293500@seasevents.nmsdev7.com
SUMMARY:Spring 2024 GRASP on Robotics: Leonidas Guibas\, Stanford University\, “Compositional Modeling of 3D Objects and Scenes”
DESCRIPTION:This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance on Zoom. This seminar will NOT be recorded. \nABSTRACT\nModeling 3D objects and scenes creates many challenges\, both on the analysis and the synthesis sides. The focus of this talk is the compositional structure of objects (into parts) and of scenes (into objects) — and how such structure informs the modeling of 3D geometry\, affordances\, and functionality. We discuss a number of neural representations for 3D objects and scenes that are\, or can be made to be\, structure aware\, enabling more efficient reconstruction as well as the creation of variations\, both discrete and continuous. The talk will cover recent historical developments of modeling ideas through works that address how to leverage 2D and 3D sensor data (static or dynamic)\, direct human annotations on 2D images or 3D models\, free-form language utterances\, and finally physical simulation\, all towards learning and exploiting this compositional structure for applications ranging from 3D content creation to robotic manipulation.
URL:https://seasevents.nmsdev7.com/event/spring-2024-grasp-on-robotics-leonidas-guibas-stanford-university-compositional-modeling-of-3d-objects-and-scenes/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240301T160000
DTEND;TZID=America/New_York:20240301T173000
DTSTAMP:20260404T120855
CREATED:20240216T194446Z
LAST-MODIFIED:20240216T194446Z
UID:10007863-1709308800-1709314200@seasevents.nmsdev7.com
SUMMARY:Research Impact Seminar - Bring Your Research Out of the Lab (Penn Engineering Entrepreneurship)
DESCRIPTION:Learn how to commercialize your research and navigate Penn’s innovation ecosystem with Penn Engineering: Entrepreneurship. This is the first part of a series from Penn Engineering’s Entrepreneurship group. \nFeaturing: \nAndrew Tsourkas\, Professor of Bioengineering\, Co-Founder\, AlphaThera\, Inc\, Co-Founder\, StreamLaunch\, Llc \nand \nJeffrey Babin\, Professor of Practice and Associate Director of Entrepreneurship at Penn Engineering & Engineering Faculty Director for Venture Lab. \nRefreshments will be provided. \nWho: Faculty\, Post-Docs\, and PhD students\nWhere: Towne 327 \nWhen: 4-5:30 pm\, Friday March 1\, 2024 \nAdd to calendar: Apple | Google | Office 365 | Outlook | Outlook.com | Yahoo \nRSVP here (not required) \nThis session provides an introduction to the innovation and entrepreneurship process. In addition to reviewing key considerations for exploring opportunities for research beyond publication\, we will discuss alternative approaches to increasing the impact and value of research. Faculty and practitioners will review commercialization\, licensing\, and venture creation based on technological innovation.
URL:https://seasevents.nmsdev7.com/event/penn-engineering-entrepreneurship-panel/
LOCATION:Towne 327
CATEGORIES:Seminar,Faculty,Doctoral,Graduate,Student,Panel Discussion,Postdoctoral
ORGANIZER;CN="Penn Engineering Entrepreneurship":MAILTO:sevile@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240305T100000
DTEND;TZID=America/New_York:20240305T113000
DTSTAMP:20260404T120855
CREATED:20240228T223203Z
LAST-MODIFIED:20240228T223203Z
UID:10007879-1709632800-1709638200@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Dexterous Decision-Making for Real-World Robotic Manipulation"
DESCRIPTION:For a robot to prepare a meal or clean a room\, it must make a large array of decisions\, such as what objects to clean first\, where to grasp each ingredient and tool\, how to open a heavy\, overstuffed cabinet\, and so on. To enable robots to tackle these tasks\, I decompose the problem into two interdependent layers: generating a series of subgoals (i.e.\, a strategy) and solving for the robot behavior that achieves each of these subgoals. Critically\, to accomplish a rich set of manipulation tasks\, these subgoal solvers must account for force\, motion\, deformation\, contact\, uncertainty and partial observability. \nMy research contributes models and algorithms that enable robots to reason over both the geometry and physics of the world in order to solve long-horizon manipulation tasks. In this talk\, I will first discuss how this approach has enabled robots to perform tasks that require reasoning over and exerting force\, like opening a childproof medicine bottle with a single arm. Next\, I will present an abstraction for the complex physics of frictional pushing and demonstrate its application within the context of in-hand manipulation. Finally\, I will illustrate how robots can make robust choices in the face of uncertainty. For example\, this empowers robots to reliably chop up fruit of unknown ripeness!
URL:https://seasevents.nmsdev7.com/event/meam-seminar-dexterous-decision-making-for-real-world-robotic-manipulation/
LOCATION:Towne 337
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240307T100000
DTEND;TZID=America/New_York:20240307T113000
DTSTAMP:20260404T120855
CREATED:20240229T202200Z
LAST-MODIFIED:20240229T202200Z
UID:10007881-1709805600-1709811000@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Active Materials and Devices for Biomedical Applications"
DESCRIPTION:In this talk\, I will discuss our recent work in materials fabrication\, manipulation\, assembly\, and manufacturing tailored towards biomedical and environmental applications. The focus is on active materials and devices enabled by materials control across a wide range of length scales. At the nanoscale\, I will discuss 3D electrokinetic tweezers\, an ultra-precision tool developed in my lab\, which can be used to manipulate nanowires in room-temperature aqueous solutions. With this technique\, designed nanostructures are maneuvered as untethered robotic tools for probing single biological cells; the precision reaches 20 nm in position and 0.5° in orientation in water solution with a standard microscope. At a slightly larger\, chip-scale\, I will describe a recent innovation that permits the light-controlled patterning of soft actuators made of microbubbles\, which assemble large arrays of nanoparticles in parallel. The co-assembly of nanosensor-cell hybrids can be further achieved that detect metabolites of bacterial cells. Finally\, I will present a rational scheme for developing large-scale\, hierarchically porous superstructures for applications in monitoring human health and public-health relevant water treatment.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-active-materials-and-devices-for-biomedical-applications/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240307T153000
DTEND;TZID=America/New_York:20240307T163000
DTSTAMP:20260404T120855
CREATED:20240108T172031Z
LAST-MODIFIED:20240108T172031Z
UID:10007796-1709825400-1709829000@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Charting the future of RNA and protein sequence-structure exploration" (Kalli Kappel\, MIT/Harvard)
DESCRIPTION:RNA and protein sequences dictate their structures\, spanning multiple length scales\, from molecular conformations to patterns of subcellular localization. In turn\, these structures govern biological function. Characterizing sequence-structure relationships is critical for gaining mechanistic understanding\, but conventional techniques can be slow and low-throughput. We have developed integrated computational and experimental methods to overcome these limitations and have applied them to resolve the three-dimensional structures of a wide range of RNA molecules and RNA-protein complexes\, and to systematically reveal the protein sequence features that drive condensate formation in cells. This work paves the way for the development of transformative predictive models of RNA and protein sequence-structure relationships.
URL:https://seasevents.nmsdev7.com/event/be-seminar-kalli-kappel-mit-harvard/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240308T140000
DTEND;TZID=America/New_York:20240308T150000
DTSTAMP:20260404T120855
CREATED:20240301T205716Z
LAST-MODIFIED:20240301T205716Z
UID:10007883-1709906400-1709910000@seasevents.nmsdev7.com
SUMMARY:Spring 2024 GRASP Seminar: Yutong Bai\, Johns Hopkins University\, "Listening to the Data: Visual Learning from the Bottom Up"
DESCRIPTION:*This seminar will be held in-person in Levine 307 with virtual attendance via Zoom.  \nABSTRACT\nWe introduce a novel sequential modeling approach which enables learning a Large Vision Model (LVM) without making use of any linguistic data. To do this\, we define a common format\, “visual sentences”\, in which we can represent raw images and videos as well as annotated data sources such as semantic segmentations and depth reconstructions without needing any meta-knowledge beyond the pixels. Once this wide variety of visual data (comprising 420 billion tokens) is represented as sequences\, the model can be trained to minimize a cross-entropy loss for next token prediction. By training across various scales of model architecture and data diversity\, we provide empirical evidence that our models scale effectively. Many different vision tasks can be solved by designing suitable visual prompts at test time.
URL:https://seasevents.nmsdev7.com/event/spring-2024-grasp-seminar-yutong-bai-johns-hopkins-university-listening-to-the-data-visual-learning-from-the-bottom-up/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240311T120000
DTEND;TZID=America/New_York:20240311T140000
DTSTAMP:20260404T120855
CREATED:20240220T145752Z
LAST-MODIFIED:20240220T145752Z
UID:10007867-1710158400-1710165600@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Engineering hydrogel microstructure to promote meniscus repair" (Karen Xu)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania along with Drs. Jason Burdick and Rob Mauck proudly announce the Doctoral Dissertation Defense of Karen Xu. \nTitle: Engineering hydrogel microstructure to promote meniscus repair \nDate: March 11\, 2024 \nTime: 12:00pm \nLocation: Reunion Auditorium in John Morgan Building \nIf you would like a zoom link\, please email:  karen.xu@pennmedicine.upenn.edu \nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-engineering-hydrogel-microstructure-to-promote-meniscus-repair-karen-xu/
LOCATION:JMB Reunion Auditorium\, 3620 Hamilton Walk\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Graduate,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240311T143000
DTEND;TZID=America/New_York:20240311T153000
DTSTAMP:20260404T120855
CREATED:20240305T144130Z
LAST-MODIFIED:20240305T144130Z
UID:10007887-1710167400-1710171000@seasevents.nmsdev7.com
SUMMARY:Spring 2024 GRASP Seminar: Saurabh Gupta\, University of Illinois at Urbana-Champaign\, "Robot Learning by Understanding Egocentric Videos"
DESCRIPTION:*This seminar will be held in-person in Raisler Lounge (Towne 225) with virtual attendance via Zoom.  \nABSTRACT\nTrue gains of machine learning in AI sub-fields such as computer vision and natural language processing have come about from the use of large-scale diverse datasets for learning. In this talk\, I will discuss how we can leverage large-scale diverse data in the form of egocentric videos (first-person videos of humans conducting different tasks) to similarly scale up policy learning for robots. A central challenge is the gap in embodiment and intentions. I will describe how we can leverage video data in spite of this gap by learning at different levels of abstraction. I will demonstrate applications of this principle for a) acquiring low-level visuomotor subroutines and high-level value functions for navigation\, and b) building an interactive understanding of objects\, through observation of human hands\, for manipulation.
URL:https://seasevents.nmsdev7.com/event/spring-2024-grasp-seminar-saurabh-gupta-university-of-illinois-at-urbana-champaign-robot-learning-by-understanding-egocentric-videos/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240312T100000
DTEND;TZID=America/New_York:20240312T113000
DTSTAMP:20260404T120855
CREATED:20240229T220457Z
LAST-MODIFIED:20240229T220457Z
UID:10007882-1710237600-1710243000@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Lymphocyte Mechano-regulation for Immunotherapies"
DESCRIPTION:In the dynamic field of biomedical engineering and immunotherapy\, my recent research unveils the intricate relationship between mechanical forces and immune cell activation\, bridging the realms of biology and immunotherapy. This study aims to unearth innovative pathways for adoptive immunotherapies\, emphasizing the role of biomedical and mechanobiological insights in broadening our understanding. \nThe core focus lies in decoding the mechanobiological pathways governing T cell and B cell activation. It explores the interplay between external mechanical cues and the immune cell activation process\, with a nod to biomedical concepts for fresh perspectives. In my presentation I will focus on links between mechanical cues\, gene expression profiles\, and the spatial organization of genomic loci and transcripts within immune cells. Combining optical super-resolution imaging\, traction force and molecular force microscopy with functional read-outs – such as single cell transcriptomics and mitochondrial activity – opens possibilities for quality control in chimeric antigen receptor T (CAR-T) cell therapy\, with potential applications in clinical contexts. \nThis interdisciplinary approach holds the potential to revolutionize adoptive immunotherapies\, incorporating insights from biomedical and life sciences.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-lymphocyte-mechano-regulation-for-immunotherapies/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240312T110000
DTEND;TZID=America/New_York:20240312T120000
DTSTAMP:20260404T120855
CREATED:20240201T140242Z
LAST-MODIFIED:20240201T140242Z
UID:10007842-1710241200-1710244800@seasevents.nmsdev7.com
SUMMARY:ESE Spring Seminar - "Learning and controlling noisy quantum systems"
DESCRIPTION:Two of the main challenges in scaling up quantum systems are noise and control\, arising from the systems’ sensitivity to the environment and its exponential complexity. The first step in resolving these challenges is characterizing and learning the noisy dynamics. In this talk\, I’ll discuss how the very quantum features that contribute to this complexity\, such as entanglement\, can actually enhance our ability to learn quantum processes. I’ll then show how\, by using information about noise and its interactions with controls\, we can efficiently suppress noise processes on a large scale when executing quantum programs. Additionally\, I’ll highlight the advantages of newly developed adaptive control techniques with dynamic circuits for performing long-range entangling operations faster and with greater fidelity than non-adaptive circuits. Finally\, I’ll discuss future directions and open questions in understanding noisy quantum systems.
URL:https://seasevents.nmsdev7.com/event/ese-spring-seminar-tbd-6/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240312T153000
DTEND;TZID=America/New_York:20240312T163000
DTSTAMP:20260404T120855
CREATED:20240209T135327Z
LAST-MODIFIED:20240209T135327Z
UID:10007855-1710257400-1710261000@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Modern Clouds: Side-Channel Attacks and Defenses"
DESCRIPTION:Cloud computing\, which has seen significant growth over the past decade\, fundamentally relies on the sharing of hardware resources among users. This approach enhances resource utilization and reduces operational costs. However\, it also enables unintended information leakage through hardware side channels. Despite the threat of side-channel attacks\, cloud vendors remain skeptical about the practicality of these attacks in production cloud environments\, leading to inadequate side-channel mitigations.\n\nMy PhD research focuses on exploring side-channel attacks in realistic cloud settings and developing comprehensive defenses across the computing stack. In this talk\, I will first introduce a series of novel attack techniques that address practical challenges in conducting side-channel attacks in clouds. Using these techniques\, I demonstrated an end-to-end\, cross-tenant side-channel attack on Google Cloud. This demonstration was subsequently recognized by Google as a critical-level bug\, prompting a review by their product team. In the second part of this talk\, I will introduce Untangle\, a novel framework for side-channel defense. Untangle is designed to quantify and reduce information leakage in defense schemes based on dynamic resource-partitioning. Untangle opens up a new defense paradigm that allows a controlled amount of information leakage in exchange for improved performance. To conclude\, I will outline future research directions aimed at developing secure and efficient cloud systems resistant to side-channel attacks.
URL:https://seasevents.nmsdev7.com/event/10698/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240313T120000
DTEND;TZID=America/New_York:20240313T133000
DTSTAMP:20260404T120855
CREATED:20240125T213305Z
LAST-MODIFIED:20240125T213305Z
UID:10007829-1710331200-1710336600@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: "Making Machine Learning Predictably Reliable" (Andrew Ilyas\, Massachusetts Institute of Technology)
DESCRIPTION:ABSTRACT:  \nDespite ML models’ impressive performance\, training and deploying them is currently a somewhat messy endeavor. But does it have to be? In this talk\, I overview my work on making ML “predictably reliable”—enabling developers to know when their models will work\, when they will fail\, and why. \nTo begin\, we use a case study of adversarial inputs to show that human intuition can be a poor predictor of how ML models operate. Motivated by this\, we present a line of work that aims to develop a precise understanding of the ML pipeline\, combining statistical tools with large-scale experiments to characterize the role of each individual design choice: from how to collect data\, to what dataset to train on\, to what learning algorithm to use. \nZOOM LINK (if unable to attend in-person): https://upenn.zoom.us/j/98699592762
URL:https://seasevents.nmsdev7.com/event/asset-seminar-andrew-ilyas-massachusetts-institute-of-technology/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240313T150000
DTEND;TZID=America/New_York:20240313T160000
DTSTAMP:20260404T120855
CREATED:20240307T231327Z
LAST-MODIFIED:20240307T231327Z
UID:10007892-1710342000-1710345600@seasevents.nmsdev7.com
SUMMARY:Spring 2024 GRASP SFI: Joseph DelPreto\, Massachusetts Institute of Technology\, "Using Sensing and AI to Enrich Human Interactions with Machines and Nature"
DESCRIPTION:This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. \nABSTRACT\nCoupling advanced wearable and environmental sensors with dynamic AI frameworks has the potential to transform how we engage with machines and with the natural world.  By co-developing intelligent sensors and deployable machine learning pipelines\, we can unlock the power of data to address impactful challenges in fields ranging from human-robot collaboration to environmental science.  Realizing this vision will require a multifaceted approach including networks that extract insights from large streams of continuous data\, algorithms that adapt to new subjects or environments from limited examples\, unobtrusive sensing with embedded autonomy\, scalable multimodal dataset curation\, and paradigms for fluid human interactions with AI systems.  Moving towards these goals\, this talk will present approaches to creating more intelligent and fluid human-robot interactions by leveraging wearable sensors for brain\, muscle\, and motion activity combined with adaptive learning pipelines.  It will explore how these techniques can scale to curate multimodal datasets of human behavior that aim to support foundational models of physical intelligence.  To help improve sensing capabilities\, it will also discuss techniques for creating soft wearable sensors with embedded learning pipelines.  Finally\, recent results of using wearable and deployable sensors to study non-human species will be introduced; combining robust wearable sensor tags\, drones\, and new machine learning pipelines can reveal exciting insights into the language and culture of sperm whales.
URL:https://seasevents.nmsdev7.com/event/spring-2024-grasp-sfi-joseph-delpreto/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240313T150000
DTEND;TZID=America/New_York:20240313T170000
DTSTAMP:20260404T120855
CREATED:20240311T143630Z
LAST-MODIFIED:20240311T143630Z
UID:10007895-1710342000-1710349200@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Ionizable Lipid Nanoparticles for Solid Tumor Chimeric Antigen Receptor Immunotherapy" (Alvin Mukalel)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Michael J. Mitchell are pleased to announce the Doctoral Dissertation Defense of Alvin Mukalel.  \n \nTitle: Ionizable Lipid Nanoparticles for Solid Tumor Chimeric Antigen Receptor Immunotherapy\nDate: March 13\, 2024\nTime: 3:00 PM\nLocation: LRSM Auditorium\n \nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-ionizable-lipid-nanoparticles-for-solid-tumor-chimeric-antigen-receptor-immunotherapy-alvin-mukalel/
LOCATION:Auditorium\, LRSM Building\, 3231 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Graduate,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240313T153000
DTEND;TZID=America/New_York:20240313T163000
DTSTAMP:20260404T120855
CREATED:20240125T143814Z
LAST-MODIFIED:20240125T143814Z
UID:10007825-1710343800-1710347400@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "Carbon Capture and Utilization in Flowing Oceanwater: A New Frontier in Photocatalysis" (Shu Hu\, Yale)
DESCRIPTION:Abstract: \nCarbon capture\, utilization\, and storage (CCUS) are critical for managing anthropogenic carbon dioxide (CO2) emissions. Great strides have been made in electrification so far\, but there are a handful of scenarios that still require hydrocarbon fuels and chemicals\, such as aviation\, long-haul trucking\, and marine shipping. On the one hand\, atmospheric CO2 is only 420 ppm\, and using alkaline sorbents for direct air capture is energy intensive; and there are issues with carbon utilization during electrochemical CO2 reduction. On the other hand\, atmospheric CO2 exchanges with surface seawater constantly\, and the concentration of dissolved inorganic carbon (DIC) in the oceans is approximately 140 times higher in carbon molarity than atmospheric CO2. Thus\, capturing and converting DIC in seawater represents an alternative approach to CO2 direct air capture. For these new opportunities\, our group takes a multi-scale approach: i.e.\, combining light-driven photocatalysis with reactive transport using engineered photo-reactors\, such as utilizing the 2.3-millimolar dissolved bicarbonate in oceanwater under sunlight. Photocatalysis concerns multiple redox reactions located within nanoscale distances: I will first elucidate the chemical physics of coupled processes during photocatalysis essentially to achieve >85% quantum efficiency; and then\, I will describe the design and realization of 3D-printed reactors. A flow photoreactor enables realistic ocean operation. This new process achieves one-step conversion to syngas\, which directly enables on-site liquid fuel production. Thus\, it saves over 50% of the energy that is used for stepwise separation of the 420 ppm CO2 in the air.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-carbon-capture-and-utilization-in-flowing-oceanwater-a-new-frontier-in-photocatalysis-shu-hu-yale/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240314T090000
DTEND;TZID=America/New_York:20240314T100000
DTSTAMP:20260404T120855
CREATED:20240305T181615Z
LAST-MODIFIED:20240305T181615Z
UID:10007888-1710406800-1710410400@seasevents.nmsdev7.com
SUMMARY:Energy Week Lecture - "Towards Sustainable Artificial Intelligence and Datacenters"
DESCRIPTION: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 of AI computation and datacenter infrastructure\, drawing on data and experiences from industrial\, hyperscale systems. First\, we analyze the embodied and operational carbon implications of super-linear AI growth. Second\, we re-think datacenter infrastructure and define a solution space for carbon-free computation with renewable energy\, utility-scale batteries\, and job scheduling. Finally\, we develop strategies for datacenter demand response\, incentivizing both batch and real-time workloads to modulate power usage in ways that reflect their performance costs. In summary\, the talk provides a broad perspective on sustainable computing and outlines the many remaining directions for future work.
URL:https://seasevents.nmsdev7.com/event/energy-week-lecture-towards-sustainable-artificial-intelligence-and-datacenters/
LOCATION:Towne 337
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240314T153000
DTEND;TZID=America/New_York:20240314T163000
DTSTAMP:20260404T120855
CREATED:20240227T172414Z
LAST-MODIFIED:20240227T172414Z
UID:10007877-1710430200-1710433800@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Frameworks for Efficient Algorithms for Learning: Robustness and Data Compression"
DESCRIPTION:Though modern machine learning has been highly successful\, as we move towards more critical applications\, many challenges towards building trustworthy systems\, such as ensuring robustness\, privacy\, and fairness\, arise. Ad hoc and empirical approaches have often led to unintended consequences for these objectives\, thus necessitating a principled approach. Traditional solutions often require redesigning entire pipelines or come with a significant loss in quality. In this talk\, we will look at principles towards incorporating important desiderata into existing pipelines without significant computational and statistical overhead. \nWe will see two vignettes of this line of research. First\, we introduce the smoothed adversary model for sequential decision making\, which serves as a general model for learning under distribution shifts. In this setting\, we will statistically and computationally efficient algorithms for decision making under uncertainty. Second\, we will see a nearly linear-time algorithm for distribution compression leading to improved computational efficiency in diverse downstream statistical tasks.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-frameworks-for-efficient-algorithms-for-learning-robustness-and-data-compression/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240315T100000
DTEND;TZID=America/New_York:20240315T110000
DTSTAMP:20260404T120855
CREATED:20240226T150956Z
LAST-MODIFIED:20240226T150956Z
UID:10007875-1710496800-1710500400@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Engineering Small Protein Based Inhibitors and Biodegraders for Cytosolic Delivery and Targeting of the Undruggable Proteome" (Alex Chan)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Andrew Tsourkas are pleased to announce the Doctoral Dissertation Defense of Alex Chan\n\nTitle: Engineering Small Protein Based Inhibitors and Biodegraders for Cytosolic Delivery and Targeting of the Undruggable Proteome\n\nDate: Friday\, March 15\nTime: 10:00-11:00 AM\nLocation: Smilow Translational Research Center SCTR 11-146AB\n\nZoom Link: https://upenn.zoom.us/j/94191357504\nMeeting ID: 941 9135 7504\n\nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-engineering-small-protein-based-inhibitors-and-biodegraders-for-cytosolic-delivery-and-targeting-of-the-undruggable-proteome-alex-chan/
LOCATION:Smilow Center for Translational Research in SCTR 11-146AB
CATEGORIES:Doctoral,Graduate,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240318T133000
DTEND;TZID=America/New_York:20240318T143000
DTSTAMP:20260404T120855
CREATED:20240207T191133Z
LAST-MODIFIED:20240207T191133Z
UID:10007849-1710768600-1710772200@seasevents.nmsdev7.com
SUMMARY:ESE Spring Seminar - "The Next Leap in Hardware Systems: Powered by Heterogenous Memory\, Logic\, and 3D Integration"
DESCRIPTION:Computing is at a critical juncture. Applications such as AI/ML demand much larger memory\, higher bandwidth\, and lower-energy compute compared to business as usual. New hardware systems\, powered by heterogenous memory\, logic\, and 3D integration\, are required for large energy efficiency\, throughput\, and scaleup benefits. I will present my contributions to three such heterogeneous systems: \n\nThe first edge AI/ML chips with full on-chip inference and training of CNNs and Transformers using foundry Resistive RAM (RRAM). The heterogeneous combination of RRAM and SRAM enables new circuit-architecture-algorithm interplay\, resulting in 9× or higher end-to-end Energy-Delay-Product (EDP) benefits versus traditional duty-cycled systems using SRAM\, DRAM\, or Flash.\nNew multi-chip Illusion systems for scaleup to 16× larger AI/ML models with 11× or higher EDP benefits versus traditional systems. Illusion minimizes inter-chip traffic by co-optimizing per-chip memory size\, heterogeneous inter- and intra-chip interconnects\, and idle power via fine-grained power management\, thus creating the illusion (within 10% EDP) of a Dream Chip with all resources on-chip.\nThe first foundry heterogeneous monolithic 3D hardware integrating silicon CMOS\, carbon nanotube field-effect transistors and RRAM\, demonstrating 4× memory bandwidth versus iso-footprint\, apples-to-apples conventional designs. Such benefits are only possible through new 3D architectures instead of 3D physical design alone.\n\nBigger benefits can be obtained for a wide set of applications by such hardware systems powered by a wider set of heterogeneous technologies. These also create exciting avenues for new courses.
URL:https://seasevents.nmsdev7.com/event/ese-spring-seminar-tbd-8/
LOCATION:Towne 337
CATEGORIES:Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
END:VCALENDAR