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13 Results | Page 1 | Last | Next
 

04.10.2019
20 mins
ILP Video

Implosion Fabrication

Daniel Oran
PhD Candidtate, Synthetic Neurobiology group
MIT Media Lab
Although a range of materials can now be fabricated using additive manufacturing techniques, these usually involve assembly of a series of stacked layers, which restricts three-dimensional (3D) geometry. Oran et al. developed a method to print a range of materials, including metals and semiconductors, inside a gel scaffold (see the Perspective by Long and Williams). When the hydrogels were dehydrated, they shrunk 10-fold, which pushed the feature sizes down to the nanoscale.

Lithographic nanofabrication is often limited to successive fabrication of two-dimensional (2D) layers. We present a strategy for the direct assembly of 3D nanomaterials consisting of metals, semiconductors, and biomolecules arranged in virtually any 3D geometry. We used hydrogels as scaffolds for volumetric deposition of materials at defined points in space. We then optically patterned these scaffolds in three dimensions, attached one or more functional materials, and then shrank and dehydrated them in a controlled way to achieve nanoscale feature sizes in a solid substrate. We demonstrate that our process, Implosion Fabrication (ImpFab), can directly write highly conductive, 3D silver nanostructures within an acrylic scaffold via volumetric silver deposition. Using ImpFab, we achieve resolutions in the tens of nanometers and complex, non–self-supporting 3D geometries of interest for optical metamaterials.
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04.10.2019
27 mins
ILP Video

Artie: An Artificial Heat Transfer Student

Anthony Patera
Ford Foundation Professor of Engineering
Co-Director, MIT Center for Computational Engineering
MIT Department of Mechanical Engineering
An undergraduate student in heat transfer (or similar engineering science continuum discipline) maps a non-prescriptive problem statement in natural language to a relatively simple mathematical model to a closed-form approximate solution. This classical approach remains relevant even today: to develop design tools which serve to narrow the parameter domain; to provide transparent reference solutions which serve to verify the results of simulation. "Artie" is software which replicates the undergraduate student procedure and further expands the analysis capability to incorporate numerical solution of partial differential equations. Artie may ultimately be capable of an A+ in an MIT heat transfer subject. The latter, in turn, has important implications for education and professional practice: we must adapt our undergraduate curriculum, and we must revisit the roles of engineers. However, many technical challenges remain, in particular related to geometry and image processing, natural language understanding, incorporation of (heat transfer) empirical data and correlations, and assessment of model and approximation error.
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04.10.2019
40 mins
ILP Video

Leading Digital Transformation: How You Can Make Your Company into a Digital Master

George Westerman
Principal Research Scientist
Initiative on the Digital Economy
MIT Sloan School of Management
Amidst the hype over digital transformation, there is an important truth: Some companies manage it better than others. In seven years of research with more than 400 organizations, the key capabilities of Digital Masters were identified. These large traditional companies, which exist in every industry, are better able to translate technology into transformation again and again. In this session, we will examine how Digital Masters are different from their peers, share numerous examples, and discuss how you can turn your company into a digital master.
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04.10.2019
35 mins
ILP Video

Discovering Your Way to Greatness: How the Most Successful Organizations Repeatedly Get to the Right Answers Fastest

Steven Spear
Senior Lecturer
Senior Fellow, Institute for Healthcare Improvement
MIT Sloan School of Management
Knowing how to manage complex undertakings?invention of new science, development of new products, stand up of new systems, operation of sprawling operations?such that new knowledge and skills are developed at incredible speed is a source of sustainable competitive advantage. But how does this advantage translate? We undertake projects, programs, and the like because there is a problem for which no solution exists. It has to be invented, and the faster and easier we discover our way to the right answers, the better for all of our stakeholders. Do that repeatedly and consistently, and competitors cannot keep up. Existing opportunities to build knowledge and skills will be identified during planning, practice, and performance with examples from drug development, software design, social services, and military applications.
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04.9.2019
32 mins
ILP Video

Introduction to Quantum Computing

William Oliver
Professor of the Practice of Physics
Lincoln Laboratory Fellow
Associate Director, Research Laboratory of Electronics (RLE)
In this talk, we will introduce quantum computing. Quantum computers are fundamentally different than conventional computers. They promise to solve important problems that are practically prohibitive and even impossible to implement using today?s supercomputers. The challenge is building one that is large enough to be useful. We will review the state-of-the-art today, discuss the path forward, and highlight the MIT Center for Quantum Engineering and the role it will play in helping to define the quantum future.
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04.9.2019
37 mins
ILP Video

How to Survive and Thrive in the Third Digital Revolution

Neil Gershenfeld
Director, Center for Bits and Atoms
MIT Center for Bits and Atoms
The first digital revolution was in communication, the second in computation. The third digital revolution, in fabrication, is now completing the first two by bringing the programmability of the digital world out into the physical world. I will survey opportunities for aligning the representations of hardware and software, and explore the implications of exponential scaling in going from bits to atoms (and back).
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04.9.2019
38 mins
ILP Video

Cyber Security of IoT

John Williams
Professor of Information Engineering, Civil and Environmental Engineering and Engineering Systems
Director, MIT Geospatial Data Center
MIT Department of Civil and Environmental Engineering
How can you protect yourself against threats you don?t know about? What measures can you take to assess your risk before a breach? How can you protect yourself against an attack that originates in an innocuous object like a toaster? Professor John Williams will discuss how organizations can prepare themselves to defend against cybersecurity threats to protect their enterprises. He will discussrisk a modeling and data analytics tool (Saffron), that helps to identify risk tolerance and strategies for assessing, responding to, and monitoring cyber security risks.
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04.9.2019
37 mins
ILP Video

Situational Awareness Tool for Cyber Security Event Prediction and Quantification (SAFFRON)

Abel Sanchez
Director, Geospatial Data Center (GDC)
Research Scientist
MIT Department of Civil and Environmental Engineering
SAFFRON is a risk modeling and data analytics tool that allows energy delivery OT operators to better understand the risks associated with cyber threats. At present they do not have the capability to fully understand the risks associated with the cyber threats of today and tomorrow ? risks that will continue to grow as Information Technology (IT) and Operations Technology (OT) networks increasingly integrate. It is important to have a better understanding of these risks, costs, and potential consequences. This aggregation of risk data will inform EDS OT operators in understanding how risk changes as the software deployed changes, and support actions (i.e., identify corrective actions that reduce the risk.) Similarly, risk computation will support operators in equipment replacement and procurement by quantifying device risk and impact on the network. SAFFRON has developed a risk model and data analytics tool, along with the necessary algorithms that identify risk tolerance and strategy for assessing, responding to, and monitoring cyber security risks. Foundational validated research is presingly neededed to develop risk models and visual analytics that are understandable to OT operators and leads to or even suggests corrective action. The tool uses a simulation model of the physical/IT system and acts as a proxy for the physical infrastructure.
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04.9.2019
38 mins
ILP Video

The Network in Network Coding

Muriel Médard
Cecil H. Green Professor of Electrical Engineering
MIT Department of Electrical Engineering and Computer Scienc
In this talk, we overview the application of random linear network coding (RLNC) in a variety of layers of the network, ranging from right above the physical layer to the application layer. We show that coding can be included in a flexible fashion at multiple layers, without the need for selecting a single layer. We provide a few use cases.
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04.9.2019
32 mins
ILP Video

Computational Design and Manufacturing

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
Over the next few decades, we are going to transition to a new economy where highly complex, customizable products are manufactured on demand by flexible robotic systems. This change is already underway in a number of fields. For example, additive manufacturing is revolutionizing production of parts in consumer, aerospace, automotive, and medical industries. Overall, these new machines enable batch-one manufacturing of products that have unprecedented complexity. In this talk, I will present a new computational design and manufacturing workflow that draws inspiration from computer architectures, programing languages, and program synthesis. I will describe how designs can be synthesized from their functional specifications to the corresponding low-level instructions that are executed on intelligent manufacturing hardware.
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04.9.2019
36 mins
ILP Video

Creating the Next Generation Enterprise

Stephanie Woerner
Research Scientist
Center for Information Systems Research (CISR)
MIT Sloan School of Management
How will your company compete in the digital economy? Based on her book What?s Your Digital Business Model? (Harvard Business School Press, 2018), co-authored with Peter Weill and cited by Forbes as one of the top ten business books in 2018, Stephanie L. Woerner presents six questions for business leaders to answer in order to navigate their digital transformation journeys. Stephanie will describe the future business model framework, based on two dimensions of major change enabled by digitization ? getting closer to end consumers and moving from value chains to ecosystems?and show the financial performance of firms pursuing each model with examples drawn from a variety of industries. She will discuss what it takes to succeed in each model and the key capabilities each company must build.
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04.9.2019

ILP Video

MIT TRUST: Data Consortium

Alex Pentland
Toshiba Professor of Media Arts and Sciences
Head, Human Dynamics Group
Director, Media Lab Entrepreneurship Program
MIT Media Laboratory
Developing privacy-preserving identity systems and safe distributed computation, enabling an Internet of Trusted Data. The Trust::Data Consortium addresses the growing tension between societal data proliferation and data security by developing specifications, software, tools and documentation that help organizations adopt a holistic approach to cyber protection. Trust::Data is building new models for digital identity, data provenance, universal access, and secure privacy-preserving transactions to harness the future potential of global data sharing.
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