Projects
Always Encrypted is a feature designed to protect sensitive data, such as credit card numbers or national identification numbers (e.g. U.S. social security numbers), stored in Azure SQL Database or SQL Server databases. Always Encrypted allows clients to encrypt sensitive…
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This project explores the impact of different forms of money and financial technologies on financial inclusion for low and variable income communities. It includes a number of interrelated initiatives from understanding the impact of digital money on auto-rickshaw drivers loan payments…
Project Rocket’s goal is to democratize video analytics: build a system for real-time, low-cost, accurate analysis of live videos. This system will work across a geo-distributed hierarchy of intelligent edges and large clouds, with the ultimate goal of making it…
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We present a health data record management application on a low-cost digital slate prototype (UX’12) built through iterative prototyping.
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VideoKheti is a multimodal video search system for low-literate farmers that combines local language speech, graphics and touch interaction to help find and watch agriculture extension videos (of digitalGreen), in the farmer’s own language and dialect.
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Angelic verification (AV) brings the benefits of static assertion checking to production software without inundating users with false alarms and not burdening them with upfront modeling. In other words, the goal of AV is to democratize static assertion checking for…
In the Harnessing AutoMobiles for Safety (HAMS) project, we use low-cost sensing devices to construct a virtual harness for vehicles. The goal is to monitor the state of the driver and how the vehicle is being driven in the context…
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99DOTS is a technology-enabled project focusing on medication adherence for anti-Tuberculosis drugs. Treatment programs wrap each anti-TB blister pack in a custom envelope, which hides phone numbers behind the medication. Patients can only see these hidden numbers after dispensing their…
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The goal of Project Mélange is to understand the uses of and build tools around code-mixing, analyze and understand code-switching behavior, and equip speech and language processing systems with the capabilities of processing, understanding and generating code-switched language.