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October 24, 2014Night pic of MIT dome.


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Semiorthogonal decompositions of W-equivariant sheaves from Springer correspondence

October 24, 2014, 3-5 PM

This is a report on a joint work in progress with Michel Van den Bergh. We use the sheaf-theoretic framework of the Springer correspondence to construct a semiorthogonal decomposition of the derived category of W-equivariant coherent sheaves on the Cartan subalgebra of a complex simple Lie algebra. In the case of algebras of types A_n, B_n, C_n, G_2 and F_4, the pieces of the decomposition are numbered by the conjugacy classes in the Weyl group W and are given by derived categories of sheaves on some affine spaces. For types D_n and E_n the decomposition contains some "noncommutative" pieces. We also construct global analogs of some of these decompositions for equivariant sheaves on the powers of smooth algebraic curves.

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Human-Centered Computing: Using Speech to Understand Behavior

October 24, 2014, 2:30-3:30 PM

Emily Mower
University of Michigan

Hosts: Jim Glass and Najim Dehak, MIT CSAIL

Emotion has intrigued researchers for generations. This fascination has permeated the engineering community, motivating the development of affective computational models for classification. However, human emotion remains notoriously difficult to interpret in part due to the presence of complex emotions, emotions that contain shades of multiple affective classes. Proper representations of emotion would ameliorate this problem by introducing multidimensional characterizations of the data that permit the quantification and description of the varied affective components of each utterance. In this talk I will discuss methods to characterize emotion, focusing on quantifying the presence of multiple shades of affect and avoiding the need for hard-labeled assignments. This set of techniques can be used to determine a most likely assignment for an utterance, to map out the evolution of the emotional tenor of an interaction, or to interpret utterances that have multiple affective components. I will demonstrate how these representation techniques can be used as a component of classification and how they provide insight into the temporal flow of emotion in speech.

I will touch on our work on emotion perception, describing our new stimuli and showing how they can be used to gain insight into the emotion perception process. This area has applications in the design of affective avatars, the development of novel machine learning algorithms, and in furthering our scientific understanding of human emotion perception. Finally, I will discuss our ongoing speech-based assistive technology research, highlighting our work estimating speech quality for individuals with aphasia and mood for individuals with bipolar disorder.

Emily Mower Provost received her B.S. in Electrical Engineering (summa cum laude and with thesis honors) from Tufts University, Boston, MA in 2004 and her M.S. and Ph.D. in Electrical Engineering from the University of Southern California (USC), Los Angeles, CA in 2007 and 2010, respectively.

Emily is a member of Tau-Beta-Pi, Eta-Kappa-Nu, and a member of IEEE and ISCA. She has been awarded the National Science Foundation Graduate Research Fellowship (2004-2007), the Herbert Kunzel Engineering Fellowship from USC (2007-2008, 2010-2011), the Intel Research Fellowship (2008-2010), and the Achievement Rewards For College Scientists (ARCS) Award (2009 -- 2010). Her research interests are in human-centered speech and video processing, multimodal interfaces design, and speech-based assistive technology. The goals of her research are motivated by the complexities of human emotion generation and perception.

Understanding Global Markets: Macroeconomics for Executives (extended)

October 27-29, 2014

This program is an extended version of our popular two-day session Understanding Global Markets: Macroeconomics for Executives which has been offered since 2010. In response to participant interest in additional content on the economic policies and choices of Europe and Asia and the relative success compared to the rest of the world, we are introducing this three-day session. The extra day will allow participants to gain a more thorough understanding of the dynamics of comparative advantage, sources of international conflict and the varied responses of economies to crisis.

Building E14

Industrial Urbanism Symposium

October 27, 2014, 4-7 PM

In a time of dramatic shifts in the manufacturing sector -- from large industrial-scale production and design to small-scale distributed systems; from polluting and consumptive production to a clean and sustainable process; from a demand of unskilled labor to a growing need for a more educated and specialized workforce--cities will see new investment and increased employment opportunities. Yet, to reap these benefits will require a shift in our thinking about city physical planning and its design and development.

What might the future relationships between city and industry look like? What are the spatial needs of contemporary manufacturing? Should contemporary manufacturing be subject to the same rules and zoning regulations as its predecessors? What could be the benefits of pursuing, retaining, attracting, and increasing manufacturing activity? Is there a way to design an industrial city while also maintaining livability and the quality of life of its inhabitants?

The aim of this symposium is to explore the future relationships between city and industry along three themes with a focus on their spatial implications:

Changes in technology are reshaping manufacturing. And manufacturing's physical footprints are changing both place and the daily life of the worker. How might changes in technology affect manufacturing space, distribution, access to transportation, and preferred geographical location? Does contemporary manufacturing have the potential to integrate within dense urban areas?

Marty Schmidt/, Provost MIT
Sanjay Sarma, Director of Digital Learning, MIT
Calestous Juma, Harvard Kennedy School

Moderator/ Respondent:
Tim Love, Founding Principal, Utile
Changing Technologies

Changes in manufacturing are reshaping not just the single factory but also areas and regions. How will this dynamic influence urban development patterns? And vice versa, how might manufacturing spatial design be influenced by development patterns?

Fiona Murray, Associate Dean of Innovation, Sloan School of Management, MIT
Ted Acworth, Founder & CEO, Artaic
Alex Klatskin, General Partner, Forsgate Industrial Partners

Moderator/ respondent:
Alexander D’Hooghe, Director, Center for Advanced Urbanism, MIT

The detachment of cities from the physicality of industry is becoming less and less sustainable. In the coming decades the question will not be whether growth in manufacturing is going to occur, but where. What physical planning and design strategies should cities pursue to support manufacturing? Will the general public embrace the return of industry and manufacturing to the core of its cities? What are some state-of-the-art new designs/examples?

Amy Glasmeier, DUSP MIT
Neil McCullagh, Executive Director, The American City Coalition
Elisabeth Reynolds, Executive Director, MIT Industrial Performance Center

Moderator/ respondent: Dennis Frenchman, DUSP MIT

Prospects and Future Directions
Tali Hatuka, Head of the Laboratory of contemporary Urban Design, Tel Aviv University
Eran Ben-Joseph, Department Head, DUSP MIT

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Spin wave imaging in atomically designed nanomagnets

October 27, 2014, 12-1 PM

Sander Otte
Delft University
The Netherlands

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Structure, Function, and Inhibition of Bacterial Cell Walls and Biofilms: Lessons from Small Molecules and a Big Magnet

October 27, 2014, 4-5 PM

Lynnette Cegelski
Stanford University

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Natural Systems: the Next Front in Protecting Global Health

October 27, 2014, 4:30-6 PM

Samuel Myers

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Learning to Move: Machine Learning for Robotics and Animation

October 27, 2014, 3 PM

Sergey Levine
U.C. Berkeley

Being able to acquire new motion skills autonomously could help robots build rich motion repertoires suitable for tackling complex, varied environments. I will discuss my work on motion skill learning for robotics, including methods for learning from demonstration and reinforcement learning. In particular, I will describe a class of "guided" policy search algorithms, which combine reinforcement learning and learning from demonstration to acquire multiple simple, trajectory-centric policies, with a supervised learning phase to obtain a single complex, high-dimensional policy that can then generalize to new situations. I will show applications of this method to simulated bipedal locomotion, as well as a range of robotic manipulation tasks, including putting together two parts of a plastic toy and screwing bottle caps onto bottles. I will also discuss how such techniques can be applied to character animation in computer graphics, and how this field can inform research!
in robotics.

Sergey Levine is a post-doctoral researcher in the Department of Electrical Engineering and Computer Sciences at UC Berkeley, working with Pieter Abbeel. He completed his Ph.D. at the Department of Computer Science at Stanford University, where he was advised by Vladlen Koltun. His research focuses on the intersection between optimal control and machine learning, with the aim of developing algorithms and techniques that can endow machines with the ability to autonomously acquire the skills for executing complex tasks. In particular, he is interested in how learning can be used to acquire behavioral skills for robots and virtual characters, in order to enable greater autonomy, intelligence, and visual realism.