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  • Healthcare Technologies of the Future
    09.27.18
  • 2018 MIT Startup Workshop - AgTech
    09.26.18
  • 2018 Startup Ecosystem Conference
    05.15.18
  • 2018 ICT Conference
    04.11.18
  • 2018 Systems that Learn Conference in London
    02.27.18
  • 2018 MIT Japan Conference
    01.26.18

Featured Videos

RECENT VIDEOS

16 Results | Page 1 | Last | Next
 

01.26.2018
42 mins
ILP Video

Transforming Healthcare Using Machine Learning (English)

John Guttag
Dugald C Jackson Professor of Computer Science and Engineering
MIT Department of Electrical Engineering and Computer Science
Many poor healthcare outcomes and the majority of wasted healthcare spending can be attributed to bad decision making. It is widely accepted that decision support systems are needed to address this issue, and that machine learning has a key role to play in constructing such systems. However, learning to predict the impact of care decisions is made challenging by the need to scale out to complex populations being managed for complex diseases across complex care networks. We will present some recent work that addresses these challenges.
Read More

01.26.2018
40 mins
ILP Video

Computational Manufacturing (English)

Wojciech Matusik
Esther and Harold E Edgerton Career Development Associate Professor of Electrical Engineering and Computer Science
MIT Department of Electrical Engineering and Computer Science
We are in the process of transitioning to a new economy where highly complex, custom products are manufactured on demand by automated manufacturing systems. For example, 3D printers are revolutionizing production of metal parts in aerospace, automotive, and medical industries. Manufacturing electronics on flexible substrates opens the door to a whole new range of products for consumer electronics and medical diagnostics. In this talk, I will show that computation is an integral component of modern design and manufacturing. I will demonstrate how computational tools allow creating digital materials with precisely controlled physical properties and how these digital materials are used to automatically synthesize product designs with desired specifications. I will also show how computational tools enable real-time, closed-feedback loop in additive manufacturing systems to improve their reliability and to fabricate complex products with integrated electronics.
Read More

01.26.2018
43 mins
ILP Video

MIT Startup Introductions (English)

Jonah Myerberg, Desktop Metal
David Odell, Netvirta
Matteo Lai, Empatica
Cory Kidd, Catalia Health
John Polo, Top Flight
Rony Kubat, Tulip Interfaces
Tom Okada, WiTricity
Kit McDonnell, Ginkgo Bioworks
MIT Startup Exchange actively promotes collaboration and partnerships between MIT-connected startups and industry. Qualified startups are those founded and/or led by MIT faculty, staff, or alumni, or are based on MIT-licensed technology. Industry participants are principally members of MIT’s Industrial Liaison Program (ILP).

MIT Startup Exchange maintains a propriety database of over 1,500 MIT-connected startups with roots across MIT departments, labs and centers; it hosts a robust schedule of startup workshops and showcases, and facilitates networking and introductions between startups and corporate executives.

STEX25 is a startup accelerator within MIT Startup Exchange, featuring 25 “industry ready” startups that have proven to be exceptional with early use cases, clients, demos, or partnerships, and are poised for significant growth. STEX25 startups receive promotion, travel, and advisory support, and are prioritized for meetings with ILP’s 230 member companies.

MIT Startup Exchange and ILP are integrated programs of MIT Corporate Relations.
Read More

01.26.2018
45 mins
ILP Video

Carbon Nanotube Based Chemical Sensors (English)

Timothy Swager
John D. MacArthur Professor of Chemistry
MIT Department of Chemistry
This lecture will detail the creation of ultrasensitive sensors based on electronically active conjugated polymers (CPs) and carbon nanotubes (CNTs). Conceptually a single nano- or molecular-wire spanning between two electrodes would create an exceptional sensor if binding of a molecule of interest to it would block all electronic transport. Nanowire networks of CNTs modified chemically or in composites with polymers provide for a practical approximation to the single nanowire scheme. Creating chemiresistive and FET based sensors that have selectivity and accuracy requires the development of new methods. I will discuss covalent and non-covalent medication of CNTs with groups that impart selectivity for target analytes. This can involve reactions at the CNT sidewalls and rapping of the CNTs with CPs. Highly specific chemical processes orthogonal responses can be produced for mixtures of analytes through careful integration of chemical functionality. A prevailing problem in all chemiresistive schemes, which is seldom highlighted by researchers, is drift. This is intrinsic for systems that need to interface with their surroundings and changes in the position of ions of small changes in the organization of the CNTs relative to each other, the electrodes, or their surroundings can change the base resistance. I will detail different methods designed to lock the CNT networks in place. These novel compositions are also designed to accommodate functionality and I will demonstrate how we can use a diversity of transition metals to create selective responses to gases. We will also show that this scheme creates CNT networks that are robust enough for solution sensing and demonstrate chemiresistive based glucose sensing. I will also briefly discuss the successful use of CNT based gas sensors for the detection of ethylene and other gases relevant to agricultural and food production/storage/transportation and integrated systems that increase production, manage inventories, and minimize losses.
Read More

01.26.2018
58 mins
ILP Video

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

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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01.26.2018
41 mins
ILP Video

Collective Behavior in Complex Social and Engineering Systems (English)

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.
Read More

01.26.2018
32 mins
ILP Video

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

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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01.26.2018
45 mins
ILP Video

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

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.
Read More

01.26.2018
42 mins
ILP Video

Transforming Healthcare Using Machine Learning (Japanese)

John Guttag
Dugald C Jackson Professor of Computer Science and Engineering
MIT Department of Electrical Engineering and Computer Science
Many poor healthcare outcomes and the majority of wasted healthcare spending can be attributed to bad decision making. It is widely accepted that decision support systems are needed to address this issue, and that machine learning has a key role to play in constructing such systems. However, learning to predict the impact of care decisions is made challenging by the need to scale out to complex populations being managed for complex diseases across complex care networks. We will present some recent work that addresses these challenges.
Read More

01.26.2018
40 mins
ILP Video

Computational Manufacturing (Japanese)

Wojciech Matusik
Esther and Harold E Edgerton Career Development Associate Professor of Electrical Engineering and Computer Science
MIT Department of Electrical Engineering and Computer Science
We are in the process of transitioning to a new economy where highly complex, custom products are manufactured on demand by automated manufacturing systems. For example, 3D printers are revolutionizing production of metal parts in aerospace, automotive, and medical industries. Manufacturing electronics on flexible substrates opens the door to a whole new range of products for consumer electronics and medical diagnostics. In this talk, I will show that computation is an integral component of modern design and manufacturing. I will demonstrate how computational tools allow creating digital materials with precisely controlled physical properties and how these digital materials are used to automatically synthesize product designs with desired specifications. I will also show how computational tools enable real-time, closed-feedback loop in additive manufacturing systems to improve their reliability and to fabricate complex products with integrated electronics.
Read More

01.26.2018
43 mins
ILP Video

MIT Startup Introductions (Japanese)

Jonah Myerberg, Desktop Metal
David Odell,, Netvirta
Matteo Lai, Empatica
Cory Kidd, Catalia Health
John Polo, Top Flight
Rony Kubat, Tulip Interfaces
Tom Okada, WiTricity
Kit McDonnell, Ginkgo Bioworks
MIT Startup Exchange actively promotes collaboration and partnerships between MIT-connected startups and industry. Qualified startups are those founded and/or led by MIT faculty, staff, or alumni, or are based on MIT-licensed technology. Industry participants are principally members of MIT’s Industrial Liaison Program (ILP).

MIT Startup Exchange maintains a propriety database of over 1,500 MIT-connected startups with roots across MIT departments, labs and centers; it hosts a robust schedule of startup workshops and showcases, and facilitates networking and introductions between startups and corporate executives.

STEX25 is a startup accelerator within MIT Startup Exchange, featuring 25 “industry ready” startups that have proven to be exceptional with early use cases, clients, demos, or partnerships, and are poised for significant growth. STEX25 startups receive promotion, travel, and advisory support, and are prioritized for meetings with ILP’s 230 member companies.

MIT Startup Exchange and ILP are integrated programs of MIT Corporate Relations.
Read More

01.26.2018
45 mins
ILP Video

Carbon Nanotube Based Chemical Sensors (Japanese)

Timothy Swager
John D. MacArthur Professor of Chemistry
MIT Department of Chemistry
This lecture will detail the creation of ultrasensitive sensors based on electronically active conjugated polymers (CPs) and carbon nanotubes (CNTs). Conceptually a single nano- or molecular-wire spanning between two electrodes would create an exceptional sensor if binding of a molecule of interest to it would block all electronic transport. Nanowire networks of CNTs modified chemically or in composites with polymers provide for a practical approximation to the single nanowire scheme. Creating chemiresistive and FET based sensors that have selectivity and accuracy requires the development of new methods. I will discuss covalent and non-covalent medication of CNTs with groups that impart selectivity for target analytes. This can involve reactions at the CNT sidewalls and rapping of the CNTs with CPs. Highly specific chemical processes orthogonal responses can be produced for mixtures of analytes through careful integration of chemical functionality. A prevailing problem in all chemiresistive schemes, which is seldom highlighted by researchers, is drift. This is intrinsic for systems that need to interface with their surroundings and changes in the position of ions of small changes in the organization of the CNTs relative to each other, the electrodes, or their surroundings can change the base resistance. I will detail different methods designed to lock the CNT networks in place. These novel compositions are also designed to accommodate functionality and I will demonstrate how we can use a diversity of transition metals to create selective responses to gases. We will also show that this scheme creates CNT networks that are robust enough for solution sensing and demonstrate chemiresistive based glucose sensing. I will also briefly discuss the successful use of CNT based gas sensors for the detection of ethylene and other gases relevant to agricultural and food production/storage/transportation and integrated systems that increase production, manage inventories, and minimize losses.
Read More

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