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Now showing items 31-40 of 119
Graphene-metal interactions beyond Van der Waals forces
(Massachusetts Institute of Technology, 2021)
With extraordinary properties, graphene has been applied in various studies to explore new phenomena, new understandings, and new applications. With only one atomic layer thick and all its atoms are on the surface, graphene's ...
A small, bright silicon light-emitting diode directly integrated with microelectronics
(Massachusetts Institute of Technology, 2021)
Silicon technologies have been developed for both electronics and photonics. Future demands call for further innovation in each field separately, but also depend on our ability to bring the best of both worlds together ...
Representations for intelligent navigation in unfamiliar environments
(Massachusetts Institute of Technology, 2020)
The way an agent chooses to represent the world around it is fundamental to its ability to effectively interact with it. The work presented in this thesis is centered around the development of new representations that ...
Learning and optimization in the face of data perturbations
(Massachusetts Institute of Technology, 2020)
Many problems in the machine learning pipeline boil down to maximizing the expectation of a function over a distribution. This is the classic problem of stochastic optimization. There are two key challenges in solving such ...
Statistical metrology and process control of quantum devices
(Massachusetts Institute of Technology, 2020)
Quantum emitters, such as color centers (e.g., nitrogen-vacancy color centers in diamond), have a wide range of applications in quantum information processing, bioimaging, and quantum sensing. Such quantum emitters are ...
Large-area cell-tracking cytometry for biophysical measurements of single cells
(Massachusetts Institute of Technology, 2020)
Utility of single-cell biophysical markers is often limited due to the low-specificity nature of biophysical markers and lack of existing techniques which can test multiple biophysical characteristics for single cells. To ...
Speech processing with less supervision : learning from weak labels and multiple modalities
(Massachusetts Institute of Technology, 2020)
In recent years, supervised learning has achieved great success in speech processing with powerful neural network models and vast quantities of in-domain labeled data. However, collecting a labeled dataset covering all ...
Cyber-attack detection and resilient state estimation in power systems
(Massachusetts Institute of Technology, 2020)
Many critical infrastructures, such as transportation and electric energy networks, and health care, are now becoming highly integrated with information and communication technology, in order to be more efficient and ...
Balance control and locomotion planning for humanoid robots using nonlinear centroidal models
(Massachusetts Institute of Technology, 2020)
Balance control approaches for humanoid robots have traditionally relied on low-dimensional models for locomotion planning and reactive balance control. Results for the low-dimensional model are mapped to the full robot, ...
Learning to see the physical world
(Massachusetts Institute of Technology, 2020)
Human intelligence is beyond pattern recognition. From a single image, we are able to explain what we see, reconstruct the scene in 3D, predict what's going to happen, and plan our actions accordingly. Artificial intelligence, ...