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.
Work for a Member company and need a Member Portal account? Register here with your company email address.
Tuesday
October 22, 2019
3:30pm - 5:00pm
The MIT Media Lab fall 2019 member meeting is an invitation-only event.
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 Systems, Dalang, FIGUR8, Labby, DeepCure, Overjet BRELYON, OPT Industries, CLIP, Kiwi Technologies, Spatial, Volta, and Biobot
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
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.
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.