The impending success of AV technology will create vehicles that collect sensor data at a high rate.
Technology for visual Impairments Rehabilitation on Early-life through Social Information Augmentation
We develop novel algorithms for neuroimage segmentation, registration, generative modeling, and joint modeling of brain structure with clinical and genetic data.
The START Natural Language System understands and generates language and answers questions that are posed to it in natural language.
To further parallelize co-prime sampling based sparse sensing, we introduce Diophantine Equation in different algebraic structures to build generalized lattice arrays.
With strong relationship to generalized Chinese Remainder Theorem, the geometry properties in the remainder code space, a special lattice space, are explored.
To enable privacy preservation in decentralized optimization, differential privacy is the most commonly used approach. However, under such scenario, the trade-off between accuracy (even efficiency) and privacy is inevitable. In this project, distributed numerical optimization scheme incorporated with lightweight cryptographic information sharing are explored. The affect on the convergence rate from network topology is considered.
We are designing new parallel algorithms and frameworks for financial computations.
We develop image analysis algorithms for whole-heart cardiac MRI in patients with severe congenital heart disease.
MIT App Inventor is an intuitive, visual programming environment that allows everyone – even children – to build fully functional apps for smartphones and tablets.
Building models that learn spoken language by seeing and hearing