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DTSTART;TZID=America/New_York:20190917T103000
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DTSTAMP:20260408T151805
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UID:10006277-1568716200-1568721600@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Engineering Microdevices Using Atomic Layer Deposition and Electrowetting"
DESCRIPTION:This talk will cover 1) devices created one atomic layer at a time and 2) electrowetting optical elements. Atomic layer deposition (ALD) and Atomic Layer Etching (ALE) are self-limiting processes that enable accurate atomic-scale thickness control either through deposition or etching of various materials. We are developing novel manufacturing processes that study how ALD materials can be used to create nano-scale transducers. Example applications include thin film coatings for MEMS\, materials with tunable properties\, nano-scale sensors and actuators. We are also developing liquid optical components based on the electrowetting effect\, where the contact angle of a liquid on a dielectric substrate changes due to applied voltage. Optical lenses and prisms can be fabricated as individual components or as arrays and are electrically addressed by transparent electrodes. By applying a voltage between the liquid and the substrate\, the droplet changes curvature and the liquid interface acts as a variable focus lens or using multiple drive electrodes as a prism. This phenomenon can be used for wavefront compensation in adaptive optics\, communications\, beam steering\, optical switching and microscopy.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-multi-disciplinary-engineering-microsystems-group/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190917T110000
DTEND;TZID=America/New_York:20190917T120000
DTSTAMP:20260408T151805
CREATED:20190806T151855Z
LAST-MODIFIED:20190806T151855Z
UID:10006257-1568718000-1568721600@seasevents.nmsdev7.com
SUMMARY:ESE & Statistics Seminar: "Large Neural Networks: Insights from Linearized Models"
DESCRIPTION:Abstract: Modern machine learning models\, and in particular multilayer neural networks\, exhibit a broad range of puzzling phenomena. Their training requires to minimize a highly non-convex high-dimensional cost function\, and yet it is efficiently addressed using simple gradient descent (GD) or stochastic gradient descent (SGD) algorithms. This model contains more parameters than the number of samples\, and indeed they often are able to achieve zero training error\, i.e. to perfectly interpolate or classify the training data. In fact\, they can achieve zero training error even if the true labels are replaced by random ones.  Despite this fact\, they can generalize well beyond the training set. Finally\, far from being a nuisance or limitation\, this massive over parameterization appears to play an important role in explaining the power of these models. \nI will discuss these phenomena\, and how we can make sense of them by using some simple linear models. Finally\, I will discuss the limitations of these `linear explanations’\, and open challenges.\n[Based on joint work with: Behrooz Ghorbani\, Song Mei\, Theodor Misiakiewicz\, and with Ryan Tibshirani\, Saharon Rosset\, Trevor Hastie]
URL:https://seasevents.nmsdev7.com/event/ese-seminar-andrea-montanari/
LOCATION:PICS Conference Room 534 – A Wing \, 5th Floor\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190918T150000
DTEND;TZID=America/New_York:20190918T160000
DTSTAMP:20260408T151805
CREATED:20190806T153639Z
LAST-MODIFIED:20190806T153639Z
UID:10006256-1568818800-1568822400@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "Evolution of the Conformational-free Energy Landscapes of Proteins"
DESCRIPTION:Abstract: \nOne of the holy grails of drug-design is to obtain high-selectivity binding of a drug to the target protein\, an extremely challenging endeavor for proteins that share high sequence and structural similarity. We investigate several systems of high biological importance to elucidate how selectivity emerged during evolution and how it can inform the design of selective drugs. In particular\, we investigate three protein families\, i.e. human protein kinases\, receptors for plant hormone\, and strigolactone and SWEET transporters. These proteins show several orders of magnitude difference in their ligand affinity\, but share high sequence and structural similarity. This task involves understanding the structure-function relationship of proteins during evolution using advanced computational methods. We show how evolution-based methods such as the combination of reinforcement learning-based adaptive sampling and evolutionary couplings developed in our group could help simulate rare conformational change processes in proteins. In this talk\, we will not only demonstrate the utility of these new techniques to address a key challenge of understanding evolution of ligand perception\, but also the need\, feasibility and impact of computational evolutionary biophysics in understanding the fundamental questions in biology.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-evolution-of-the-conformational-free-energy-landscapes-of-proteins/
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:20190919T104500
DTEND;TZID=America/New_York:20190919T114500
DTSTAMP:20260408T151805
CREATED:20190823T164050Z
LAST-MODIFIED:20190823T164050Z
UID:10006269-1568889900-1568893500@seasevents.nmsdev7.com
SUMMARY:MSE Professional Development Seminar: "Interviewing with Confidence"
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/mse-professional-development-seminar/
LOCATION:Auditorium\, LRSM Building\, 3231 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190920T120000
DTEND;TZID=America/New_York:20190920T131500
DTSTAMP:20260408T151805
CREATED:20190909T160735Z
LAST-MODIFIED:20190909T160735Z
UID:10006281-1568980800-1568985300@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "What Society Must Require from AI"
DESCRIPTION:Abstract:  \nArtificial intelligence (AI) algorithms\, especially machine learning (ML) programs\, are now being employed or proposed for use in: \n\na) scanning résumés to weed out job applicants;\nb) evaluating risks children face in their families;\nc) informing judicial decisions about bail\, sentencing\, and parole;\nd) diagnosing medical conditions\, and not just classifying medical images;\ne) identifying faces in the crowd for the police;\nf) caring for seniors;\ng) driving autonomous vehicles; and\nh) guiding and directing drones in seeking to kill terrorists.\n\n  \nI will propose what society must require of algorithms that affect human welfare\, health\, life\, and death.  I shall discuss concepts including reliability\, openness\, transparency\, explainability\, trustworthiness\, responsibility\, accountability\, empathy\, compassion\, fairness\, and justice. \n  \nMy analysis will aid researchers in prioritizing problems for AI and HCI research.  It will also assist policy makers and citizens in determining when and how AI technology should be deployed.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-what-society-must-require-from-ai/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
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