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Workshops: Tuesday, October 22

Jon Tadiello

by Emily Pereira

Sept. 3, 2019

Tuesday
October 22, 2019
3:30pm - 5:00pm

Fall 2019 Member Meeting
Workshops: Tuesday, October 22

The MIT Media Lab fall 2019 member meeting is an invitation-only event. 

Meet with Media Lab startups

Habib Haddad and Calvin Chin  |   E14-244 

A chance to meet with Media Lab startups and explore areas of collaboration. The following startups will be at this workshop: Wise SystemsDalangFIGUR8Labby, DeepCureOverjet BRELYONOPT Industries, CLIPKiwi TechnologiesSpatial, Volta, and Biobot

A future for digital medicine and digital health

Fadel Adib, Unsoo Ha, Mohamed Abdehamid, Mergen Nachin   |   E14-240

This workshop will focus on three problems: 

1) Designing in-vivo digital micro-sensors for drug delivery, physiological monitoring, or tumor tracking

2) Building AIs for detecting product/medicine counterfeiting and contamination using RFIDs

3) Developing solutions for medicine inventory (at hospitals, pharmacies, homes, etc.) and tracking items for medical adherence

If you are interested in attending, please send an email to: digital-medicine@media.mit.edu

Programmable money for beginners

Robleh Ali   |   E14-393

This session will give non-programmers a technical introduction to programmable money/cryptocurrencies; it is appropriate for complete beginners. If you want to participate interactively in the session, all you need is a laptop or an open browser.

AI and Siloed Private Data

Ramesh Raskar and Praneeth Vepakomma  |   E14- 6th Floor Lecture Hall

Emerging technologies in domains such as bio-medicine, health, surveillance, and finance benefit from distributed AI methods that can allow multiple entities to perform data analysis and modeling without requiring data sharing or resource aggregation at one single place. In particular, we are interested in efficient distributed AI approaches that bridge the gap between analyzing data from distributed entities under the constraint of no raw data sharing. In addition to a reduced leakage of critical patterns in the raw data while maintaining a high utility of the distributed approach, we are also interested in methods that need low communication bandwidth and computational resources. Some topics of interest include: distributed machine learning, federated learning, split learning, secure enclaves, differential privacy, homomorphic encryption, multi-party computation, self-sovereign identity, smart contracts, digital wallets, and blockchain.