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1351 Results | Prev | 1 | 2 | 3 | .. | 269 | 270 | Page 271

51 mins
ILP Video

Smart Green Buildings: HKUST-MIT Research Alliance Consortium

Jung-Hoon Chun
Professor of Mechanical Engineering
Director, Laboratory for Manufacturing and Productivity (LMP)
Director, MISTI's MIT-Korea Program
MIT Laboratory for Manufacturing and Productivity
In a time of mounting concern for the environment and rapid population growth in regions of high economic development, there is a need to re-think the existing modes of human habitation. It is projected that within our generation, 70 % of the population will be living in urban environments. Megacities are a reality in many countries in Asia, and the expectations of quality and quantity of living space will lead to a doubling of buildings on the planet. This urbanization places an unprecedented burden on resources – water, energy, materials, and how they are processed to support habitation. The anticipated strain on planetary resources merits research into intelligent new modes of environmentally sustainable living space.

A Smart Green Building wherein human habitation is elegantly supported, should address Efficiency and user Experience. Efficiency could be achieved by revolutionary use of intelligent systems in building’s material, energy and water infrastructure with conscious avoidance of negative environmental impact associated with building use. A Smart Green Building should strive to harmonize form and function, promote health, comfort and security while allowing individual expression of elegance through customization. This merits an open-minded reflection on alternative modes of building praxis and life-styles that require minimal deployment of resources to offer maximum wellbeing and shelter.

In this talk, I will provide examples of potential technologies and developments that can be scaled up for the design and production of such building materials for sustainable development. I will also introduce a research consortium recently formed to realize this vision.
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57 mins
ILP Video

Goal-directed Collaborative Systems: From Human-Robot Coordination to Sustainable Energy

Brian Williams
Professor of Aeronautics and Astronautics
Undergraduate Officer (Aero-Astro)
MIT Department of Aeronautics and Astronautics
Decades of research in artificial intelligence are enabling the creation of every day systems that interact at a cognitive level. These cognitive systems communicate at the level of goals, such as “repair the strut” or “stop at a fine restaurant on the way to my flight.” They leverage the flexibility offered by this high-level guidance to achieve goals in a robust and energy efficient manner. They act safely by generating actions that are guaranteed to operate within user specified risk bounds. Finally, these cognitive systems complement their human partners through collaboration and negotiation.

The model-based embedded and robotics systems (MERS) group is enabling the rapid development of cognitive systems with these attributes, through the concepts of model-based programming and execution. In this talk I will discuss four examples of cognitive systems, created by the MERS group, that are goal-directed, efficient, robust, risk-sensitive and collaborative. First, I will describe a collaborative travel advisor for reducing range anxiety in plug-in electric cars and personal air vehicles. Second, I will demonstrate a cognitive system that supports human-robot teamwork for manufacturing in semi-structured environments. Third, I will describe progress towards a bottom up micro-grid of sustainable homes. Finally, I will describe a system for coaching collections of information gathering “scout” vehicles in support of disaster relief.
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13 mins
ILP Video

Welcome and Introduction

Karl F. Koster
Executive Director
MIT Office of Corporate Relations/Industrial Liaison Program
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55 mins
ILP Video

Business Model Innovation in Highly Competitive Markets

Henry Birdseye Weil
Senior Lecturer
MIT Sloan School of Management
Business leaders face very challenging dynamics in markets that range from information and communication technology to financial services, retailing, media, transportation, and energy. These dynamics include the commoditization of basic services and infrastructure, proliferation of new competitors, increasing market transparency, deconstruction of integrated value chains, and the emergence of a new generation of customers with quite different values and behaviors. They put mounting pressure on companies to re-think their strategy and reinvent their business model. This session will focus on the objectives, character, and process of innovation in highly competitive markets. As markets mature the sources of competitive advantage become increasingly intangible, e.g., trusted brands, elegant design, superb customer experiences, effective use of information, and rapid learning. Use of information is the basis of many business model innovations. How do data and analytics enable innovations in marketing and service? How do innovative business models build value for both your customers and your company? How can you drive the dynamics of platform development and dominance? And how can you access the new capabilities required for successful business model innovation? These issues are fundamental to competitive strategy in many markets and industries. Examples from consumer electronics, financial services, retailing, media, and energy will be discussed.
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47 mins
ILP Video

Advanced Patient Monitoring -- Addressing Health Care Challenges through Data Integration

Thomas Heldt
Assistant Professor of Electrical Engineering and Computer Science
Hermann von Helmholtz Career Development Assistant Professor
MIT Department of Electrical Engineering and Computer Science
Aging populations throughout the developed and developing world are putting enormous pressures on the health-care delivery system to provide better care without increasing the workload on the health-care providers, whose numbers cannot expand in the same proportion to the number of the elderly. Likewise, improved medical technology allows us to treat increasingly sicker patients. Consequently, health care budgets grow to take up an increasing fraction of gross domestic product. A central challenge for health-care delivery systems across the world is therefore to increase efficiency and reducing cost while increasing the quality of care for the patients. This challenge can only be met through increased use of automation and through the collection and analysis of clinical data in ways much more systematic than the ways in which traditional health care has kept and leveraged patient data. This talk will highlight recent approaches to advanced patient monitoring through increased integration of physiologic data streams and their automated interpretation in the context of mathematical models of the underlying physiology. This approach is currently geared towards supporting clinical decision making in data-rich clinical environments, such as critical care units, but will also play an important role in interpreting data streams from wearable health monitors.
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