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April 30, 2020 MIT News

Q&A: Gregory Rutledge on initial testing of KN95 respirators for public health officials
April 30, 2020 MIT News

A foolproof way to shrink deep learning models
April 30, 2020 MIT News

Life and learning find a way during a pandemic
April 2020

ILP Research Survey

Volume 4: COVID-19 Weekly Summary

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May 1, 2020 MIT News

Weekly calls keep students connected to the Institute during a pandemic
May 1, 2020 MIT News

Professor Wayne O’Neil, linguist and advocate for linguistics in education, dies at 88

2020 Digital Transformation - Jeanne Ross

April 27, 2020Conference Video Duration: 56:7

For almost twenty years, digital technologies like social, mobile, AI, cloud, internet of things (SMACIT) have been changing what businesses can do for their customers. But digital transformations of established companies have proceeded in fits and starts. As social distancing forces companies to become more digital, leaders can seize opportunities to radically rethink how they serve customers and apply the skills and creativity of their people. It’s not easy—or fast! In this webinar, we will share findings from five years of research on digital transformations, highlighting five building blocks that are essential to sustained business success.

2020 Digital Transformation - Kalyan Veeramachaneni

April 27, 2020Conference Video Duration: 61:14

When my entire team transitioned to working from home for the first time, we were able to figure out most things — like how to hold virtual meetings and get people the technical resources they needed — fairly quickly. But one thing was more difficult: maintaining access to data. For privacy reasons, much of the data we use lives in a secure machine. We can’t put it on the cloud or distribute it publicly. What happens if this machine crashes, and we’re not on campus to fix it? Although this particular situation is unique, it highlights something we’ve been thinking about for years: the importance of synthetic data. Synthetic data is generated from a statistical model in such a way as to emulate important properties of the real data. Over the past 5 years, our group has been working on creating synthetic data generators. In this webinar, we will present our current progress in this regard, explore some use cases in which synthetic data is helpful, and explain how you can use synthetic data to scale your digital operations.

May 1, 2020 MIT News

Gabriela Schlau-Cohen wins Camille Dreyfus Teacher-Scholar Award
May 1, 2020 MIT News

MIT IDEAS celebrates social innovation at the Institute

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