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Kresge Auditorium
Building W16 on the MIT Campus
77 Massachusetts Avenue
Cambridge, MA


October 5-8, 2015

MIT will convene technologists, philanthropists, business leaders, policymakers, and social-change agents Oct. 5-8, 2015, for the launch of ?Solve,? an effort to galvanize these leaders to drive progress on complex, important global challenges that MIT has singled out as urgent and ripe for progress. Curated by distinguished members of the MIT community, this highly collaborative event will take place at Kresge Auditorium and at various labs, classrooms, and facilities across the MIT campus.

MIT general map location link

Of Trees of Gold and Banana Blues

October 5, 2015, 4-5 PM

Bernhard Kraeutler
University of Innsbruck

MIT general map location link

When Politics and Architecture Collide

October 5, 2015, 6-7:30 PM

Hisham Munir
Architect & Planner
Hisham Munir & Associates

MIT general map location link

New to US hot, hip, micro hotel product

October 6, 2015, 5:30-6:30 PM

Jason Brown
Chief Development Officer

Building 32 Map

Articulated SLAM

October 6, 2015, 11 AM - 12 PM

Matt Klingensmith

Host: Russ Tedrake

Uncertainty is a central problem in robotics. In order to understand and interact with the world, robots need to interpret signals from noisy sensors to reconstruct clear models not only of the world around them, but also their own internal state. For example, a mobile robot navigating an unknown space must simultaneously reconstruct a model of the world around it, and localize itself against that model using noisy sensor data from wheel odometry, lasers, cameras, or other sensors. This problem (called the SLAM problem) is very well-studied in the domain of mobile robots. Less well-studied is the equivalent problem for robot manipulators. That is, given a multi-jointed robot arm with a noisy hand-mounted sensor, how can the robot simultaneously estimate its state and generate a coherent 3D model of the world? We call this the articulated SLAM problem.

Given actuator uncertainty and sensor uncertainty, what is the correct way of simultaneously constructing a model of the world and estimating the robot's state? In this work, we show that certain contemporary visual SLAM techniques can be mapped to the articulated SLAM problem by using the robot's joint configuration space as the state space for localization, rather than the typical SE(3). We map one kind of visual SLAMt technique, Kinect Fusion, to the robot's configuration space, and show how the robot's joint encoders can be used appropriately to inform the pose of the camera. The idea that the configuration of the robot is not merely a sensor which informs the pose of the camera, but rather it is the underlying latent state of the system is critical to our analysis. Tracking the configuration of the robot directly allows us to build algorithms on top of the SLAM system which depend on knowledge of the joint angles (such as motion planners and control systems).

Matt Klingensmith is a final-year PhD candidate at the Robotics Institute at Carnegie Mellon. He is co-advised by Sidd Sirinivasa and Michael Kaess. Matt previously earned his BS in Computer Science and MS in Robotics at Carnegie Mellon University. Matt was a core member of CMU's DARPA Autonomous Robotic Manipulation Software team at the National Robotics Engineering Center. He has also interned at Willow Garage, RE2, and was a visiting researcher at Google's Project Tango.

As part of CMU's Personal Robotics Lab, Matt's current research involves state estimation and SLAM for robotic manipulation, and the intersection of 3D sensing and robot manipulators.

MIT general map location link

Heavenly (and Earthly) Rotational Spectroscopy of Transient Molecules from Microwave to THz Regimes

October 6, 2015, 12-1 PM

Lucy Ziurys
University of Arizona

Sponsored by the MIT Laser Biomedical Research Center, the Department of Electrical Engineering and Computer Science, the Department of Chemistry, and the School of Science, MIT.

Tackling the Challenges of Big Data

October 6 - November 17, 2015

Course Description

This Digital Programs course will survey state-of-the-art topics in Big Data, looking at data collection (smartphones, sensors, the Web), data storage and processing (scalable relational databases, Hadoop, Spark, etc.), extracting structured data from unstructured data, systems issues (exploiting multicore, security), analytics (machine learning, data compression, efficient algorithms), visualization, and a range of applications.

Each module will introduce broad concepts as well as provide the most recent developments in research.
The course is taught by a team of world experts in each of these areas from MIT and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL).

CSAIL is the largest research laboratory at MIT and one of the world’s most important centers of information technology research. CSAIL and its members have played a key role in the computer revolution. The lab’s researchers have been key movers in developments like time-sharing, massively parallel computers, public key encryption, the mass commercialization of robots, and much of the technology underlying the ARPANet, Internet, and the World Wide Web.

CSAIL members (former and current) have launched more than 100 companies, including RSA Data Security, Akamai, iRobot, Meraki, ITA Software, and Vertica. The Lab is home to the World Wide Web Consortium (W3C).

With backgrounds in data, programming, finance, multicore technology, database systems, robotics, transportation, hardware, and operating systems, each MIT Tackling the Challenges of Big Data professor brings their own unique experience and expertise to the course.

The course is held over six weeks and will provide the following:

* Five modules covering 18 topic areas: with 20 hours of video

* Five assessments to reinforce key learning concepts of each module

* Case studies

* Discussion forums for participants to discuss thought provoking questions in medicine, social media, finance, and transportation posed by the MIT faculty teaching the course; share, engage, and ideate with other participants

* Community Wiki for sharing additional resources, suggested readings, and related links

* Participants will also take away:

Participants will take away program materials:

* PDFs of faculty PowerPoint presentations, and resources presented in the course wiki.

* 90 day access to the archived course (includes videos, discussion boards, content, and Wiki)

Cambridge, MA

Understanding the Transformation and Globalization of Monetary Policy

October 7-8, 2015

This program will examine the transformation of monetary policy since the global financial crisis and its effects on countries and companies around the world. Specifically, participants will be presented with:

  • How monetary policy has traditionally been set
  • Why and how monetary policy has changed so dramatically since 2008
  • How major central banks are making decisions regarding monetary policy today
  • Implications of the expected tightening of U.S. monetary policy on emerging markets and the likely effects and responses in these markets
  • The different ways in which companies can prepare for and respond to these changes

"The evolution of monetary policy requires top executives to have a new perspective and understanding on how the actions of central banks across the globe can impact their business strategy. This course helps them develop the skills and capabilities to navigate the new landscape of global monetary policy." ~Kristin Forbes, Faculty Director

The program will include presentations on how central banks make monetary policy decisions and on the policy implications for major emerging markets, such as China, India, Brazil, and Turkey; a mix of case studies and exercises that will be worked through and discussed in class; and several group projects applying key concepts to decisions that central banks and governments around the world are facing today. Participants will:

  • Discuss how companies should be preparing for upcoming monetary policy moves
  • Work on projects evaluating the decisions and next steps for major central banks (the U.S. Federal Reserve, the Bank of England, the European Central Bank, and the Bank of Japan)
  • Evaluate how forthcoming decisions by major central banks would be expected to affect emerging markets?including a discussion on the role of contagion and the global financial cycle
  • Propose potential responses by major emerging markets and evaluate how companies operating in these markets should be preparing for and responding to these changes

The class will conclude with a discussion on the overall outlook for the global economy and key markets in the context of globalized monetary policies and other trends.

The class will be taught at a level that assumes that students have had some background in international macroeconomics.

Please bring a laptop computer with Excel to use for the exercises.