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16 Results | Prev | 1 | Last Page

58 mins
ILP Video

From Person-and-Machine to Environment-and-Ecosystem (Japanese)

Kai Thomenius
Research Scientist
MIT Institute for Medical Engineering and Science
In June of this year, MIT will complete the construction of the MIT.nano, an 18,000 sq.m. facility in the middle of the campus for MIT?s nanotechnology-related activities. This facility is, in effect, an acknowledgement of the nanotech?s importance today. Within MIT.nano, SENSE.nano is its first Center of Excellence. The impetus for SENSE.nano is the recognition that novel sensors and sensing systems are bound to provide previously unimaginable insight into the condition of individuals, as well as the built and natural world, to positively impact people, machines, and environment. Advances in nano-sciences and nano-technologies, pursued by many researchers at MIT, now offer unprecedented opportunities to realize designs for, and at-scale manufacturing of, unique sensors and sensing systems, while leveraging data-science and IoT infrastructure.
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41 mins
ILP Video

Collective Behavior in Complex Social and Engineering Systems (Japanese)

Ali Jadbabaie
JR East Adjunct Professor of Engineering
Associate Director, Institute for Data, Systems, and Society (IDSS)
Director, Sociotechnical Systems Research Center (SSRC)
MIT Sociotechnical Systems Research Center
In this talk, I will present an overview of my research in the past decade on large scale optimization for machine learning and collective behavior in networked,natural, engineering, and social systems. These collective phenomena include social aggregation phenomena as well as emergence of consensus, swarming, and synchronization in complex network of interacting dynamic systems such as mobile robots and sensors. A common underlying theme in this line of study is to understand how a desired global behavior can emerge from purely local interactions. The evolution of these ideas into social systems has lead to development of a new theory of collective decision making among people and organizations. Examples include participation decisions in uprisings, social cascades, investment decisions in public goods, and decision making in large organizations. I will investigate distributed strategies for information aggregation, social learning and detection problems in networked systems where heterogeneous agents with different observations (with varying quality and precision) coordinate to learn a true state (e.g., finding aggregate statistics or detecting faults and failure modes in spatially distributed wireless sensor networks, or deciding suitability of a political candidate, quality of a product, and forming opinions on social issues of the day in social networks) using a stream of private observations and interaction with neighboring agents. I will end the talk with a a new vision for research and graduate education at the interface of information and decision systems, data science and social sciences.
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32 mins
ILP Video

Engineering Ceramic and Glass-Materials for Energy Storage, Sensing and Computing (Japanese)

Jennifer Rupp
Thomas Lord Assistant Professor of Materials Science and Engineering
MIT Department of Materials Science and Engineering
The next generation of energy storage, sensors and neuromorphic computer logics in electronics rely largely on solving fundamental questions of mass and charge transport of ionic carriers and defects in materials and their structures. Here, understanding the defect kinetics in the solid state material building blocks and their interfaces with respect to lattice, charge carrier types and interfacial strains are the prerequisite to design novel energy storage, sensing and computing functions. Through this presentation basic theory and model experiments for solid state oxides their impedances and memristance, electro-chemo-mechanics and lattice strain modulations is being discussed as a new route for engineering material and properties on the examples of solid state batteries, environmental CO2 sensors and memristors for memory and neuromorphic computing chips. Central are the making of new oxide film materials components, and manipulation of the charge carrier transfer and defect chemistry (based on ionic and electronic carriers), which alter directly the device performances and new operation metrics.
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45 mins
ILP Video

Accelerating Innovation in the Energy Sector: Science-Based, Industry-Ready Solutions (Japanese)

Michael Short
Norman Rasmussen Assistant Professor of Nuclear Science and Engineering
MIT Department of Nuclear Science & Engineering
The impact of energy production in our lives stands in stark contrast to the speed, or lack thereof, in solving the most expensive and pervasive issues in energy production. Examples range from the continuing prevalence of fouling, which drains 0.25% of the GDP of developed countries, to the lack of ways to quantify damage to materials. The Mesoscale Nuclear Materials group at MIT (MIT-MNM) focuses on science-based solutions to these "dirty issues," combining branches of physics and engineering to produce industry-ready solutions in years, not decades. We will focus on three issues facing the nuclear industry as well as others: (1) The formation and prevention of CRUD in reactors, (2) rapid qualification of new materials during irradiation, and (3) the stored energy fingerprints of radiation damage as a new way to quantify damage to materials.
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