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Featured Videos

RECENT VIDEOS

11 Results | Last Page
 

03.28.2019
39 mins
ILP Video

Designing Memristor Materials and Functions for Neuromorphic Computing and Memories

Jennifer Rupp
Thomas Lord Assistant Professor of Materials Science and Engineering
MIT Department of Materials Science and Engineering
Memristors are nano-devices that remember information permanently, switch in nanoseconds, are super dense, and power efficient. That makes memresistors potential replacements for good old transistors operated in DRAM, flash, and disk. What material architectures are used for memristor designs? How can we engineer their floor print and energy consumption? What if you can put huge amounts of storage near the processor and have enough bandwidth to exchange huge amounts of data? All at low power? Memristors are not just stuck in the past, they don't just remember, they can perform logic. And, the properties of the memristor apparently mimic neurons and can learn without supervision. The characteristics of memristors are such that you have to rethink the whole compute and storage paradigm.
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03.28.2019
48 mins
ILP Video

Big and Streaming Data in the Smart Factory

Brian Anthony
Director, Programs and Outreach, MIT.nano
Principal Research Scientist
Department of Mechanical Engineering
Institute for Medical Engineering and Science
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03.28.2019
49 mins
ILP Video

Fake News: The End of Reality

Sinan Aral
MIT Sloan School of Management
David Austin Professor of Management
False news is big news. Barely a day goes by without a new development about the veracity of social media, foreign meddling in U.S. elections, or questionable science. Conducted with Soroush Vosoughi and Deb Roy of the MIT Media Lab, "The Spread of True and False News Online" investigates the differential diffusion of all the verified, true and false news stories distributed on Twitter from 2006 to 2017. The data comprise approximately 126,000 stories tweeted by about 3 million people over 4.5 million times. Until this study, few large-scale empirical investigations of the diffusion of false news or its social origins had existed. Their conclusions are both surprising and alarming.
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03.28.2019
50 mins
ILP Video

Panel Discussion with Sinan Aral

Sinan Aral
Margaret Childs
Frank Schweitzer
Shermin Voshmgir
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03.27.2019
49 mins
ILP Video

What's the European Pathway to Govern AI?

Charlotte Stix
Research Associate/Policy Officer
Leverhulme Centre for the Future of Intelligence
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03.27.2019
47 mins
ILP Video

Creating the Next Generation Enterprise

Stephanie Woerner
Research Scientist
Center for Information Systems Research
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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03.27.2019
49 mins
ILP Video

How Do We Create a Market for Data?

Munther Dahleh
Director, IDSS
William A. Coolidge Professor, Electrical Engineering and Computer Science
MIT Institute for Data, Systems, and Society
Data is recognized as a business asset, but we lack efficient ways to price it, says MIT professor Munther Dahleh. He proposes a marketplace that bases the cost of data on the financial value it generates. Data is an important asset across many domains, including business, but Dahleh, who is also the William A. Coolidge Professor for Electrical Engineering and Computer Science at MIT, argues that we’re lacking sound ways to verify data’s value. He says the technology for a better data marketplace is already under development. The MIT Institute for Data, Systems, and Society (IDSS) is creating a cloud-based “Data Lab” that will store data sets securely and offer data processing services to individuals who want to make use of those data sets. This same Data Lab architecture can be used for future commercial data marketplaces.

Dahleh will discuss why current data marketplaces fall short, how a more efficient one would work, why businesses may overestimate the value of their big-data caches, and how the financial value of specific business insights will determine what a collection of data is really worth.
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03.27.2019
45 mins
ILP Video

The End of Trust

Ethan Zuckerman
Associate Professor of the Practice in Media Arts and Sciences
Director, Center for Civic Media
MIT Media Lab
Mistrust in social and political institutions is at an all-time high, in the US and many advanced democracies. That mistrust is both changing how people make political change and participate in social movements, and changing our relationships with new technologies. As technology becomes a space for activism with movements like ?Tech Won't Build It?, and debates about the social impact of technologies underlies our political conversations, how do we build a future responsibly?
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03.27.2019
40 mins
ILP Video

Improving Supervised Learning with Unsupervised Deep Learning

Eric Steinberger
Computer Science Student at University of Cambridge
AI Research & Engineering Consultant
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03.27.2019
55 mins
ILP Video

The Truth Machine: The Blockchain and the Future of Everything

Michael Casey
Senior Advisor for Blockchain Opportunities, Digital Currency Initiative (DCI)
MIT Media Laboratory
As once-trusted institutions are ever more brazenly compromised, Casey lays out a case for blockchain, citing its potential to restore control over data, assets, and personal identities; disrupt industries from finance and tech to legal and shipping; and grant billions of people access to the global economy.
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03.27.2019
45 mins
ILP Video

Startup Showcase

CATALOG - Hyunjun Park
Interpretable AI - Daisy Zhuo
Osaro
CATALOG
The world will generate 160 zettabytes of data in 2025. That’s more bytes than there are stars in the observable universe. Conventional storage media like flash-drives and hard-drives do not have the longevity, data density, or cost efficiency to meet the global demand. CATALOG is building the world’s first DNA-based platform for massive digital data storage.

Interpretable AI
The company is bringing interpretability to machine learning and artificial intelligence and was co-founded by Professor Dimitris Bertsimas of MIT Sloan School of Management’s Operations Research Center (ORC).

Osaro
Advanced imaging AI for robotics that can identify objects others cannot
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