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    11.15.17
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    10.25.17
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RECENT VIDEOS

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11.16.2017
38 mins
ILP Video

Track 6: Bio-inspired metal-coordination crosslinking: easy access to broad dynamics for new engineering of polymer mechanics

Niels Holten-Andersen
Henry L Doherty Assistant Professor in Ocean Utilization
MIT Department of Materials Science and Engineering
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11.16.2017
30 mins
ILP Video

Track 6: Structural biopolymers - using Nature's building blocks as an inspiration for advanced manufacturing

Benedetto Marelli
Paul M Cook Career Development Assistant Professor of Civil and Environmental Engineering
MIT Department of Civil and Environmental Engineering
Structural biopolymers are materials engineered by Nature as building blocks of living matter. These materials have unique and compelling properties that allow for their assembly and degradation with minimal energy requirements as well as their performance at the biotic/abiotic interface. By combining basic material principles with advanced fabrication techniques, it is possible to define new strategies to drive the assembly of structural biopolymers in advanced materials with unconventional forms and functions such as edible coating for perishable food, inkjet prints of silk fibroin that change in color in the presence of bacteria, three dimensional monoliths that can be heated by exposure to infrared light and flexible keratin-made photonic crystals.
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11.16.2017
32 mins
ILP Video

Track 6: Build AI products faster, cheaper

Kalyan Veeramachaneni
Principal Research Scientist
MIT Laboratory for Information and Decision Systems
Artificial intelligence is being embedded into products to save people time and money. Experts in many domains have already begun to see the results of this, from medicine to education to navigation. But these products are built using an army of data scientists and machine learning experts, and the rate at which these human experts can deliver results is far lower than the current demand. My lab at MIT, called Data to AI, wanted to change this. Recognizing the human bottleneck in creating these systems, a few years ago we launched an ambitious project: we decided ?to teach a computer how to be a data scientist." Our goal was to create automated systems that can ask questions of data, come up with analytic queries that could answer those questions, and use machine learning to solve them?in other words, all the things that human data scientists do. After much research and experimentation, the systems we have developed now allow us to build end-to-end AI products that can solve a new problem in one day. In this talk, I will cover what these new technologies are, how we are using them to accelerate the design and development of AI products, and how you can take advantage of them to actually build AI products faster and cheaper.
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11.16.2017
27 mins
ILP Video

Track 7: Harnessing high temperature materials for extraction and processing

Antoine Allanore
Thomas B King Assistant Professor of Metallurgy
MIT Department of Materials Science and Engineering
The demand for materials, particularly minerals and metals, has experienced an exceptional growth in the last decades. In parallel, the costs of the corresponding processing technologies have reached levels that are unsustainable for most countries. Increasing access to cost effective and clean electricity sets the stage for novel processes that can match new expectations from society. In this context, recent research and development results pertinent to materials processing are presented, in particular for oxides and sulfides. In parallel, novel experimental methods and predictive capacity for high temperature systems are shown, paving the way to transformative processes and materials.
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11.16.2017
30 mins
ILP Video

Track 7: Germanium: Low Cost, High Performance Solar Cells and Photonics Devices

Jurgen Michel
Senior Research Scientist, Materials Research Laboratory
Senior Lecturer, MIT Department of Materials Science and Engineering
Device performance is in most cases connected to the materials quality. In many cases, high quality materials are available, but at a cost that is commercially not viable. We have been working on improving the quality of germanium for use as a virtual substrate for III-V semiconductor materials and for active silicon-based photonic devices. Germanium as a virtual substrate would enable low cost, high efficiency solar cells as will be presented in one example. An example for advanced germanium based devices are single photon detectors, operating at room temperature in the near infrared.
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