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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 ...
A hybrid approach towards on-chip visible lasers
(Massachusetts Institute of Technology, 2020)
In recent years, the world of nanostructured optically active materials has expanded to include organic molecules; colloidal nanocrystals such as quantum dots, quantum rods, and quantum wells or nanoplatelets; perovskite ...
Relationships between functionality, security, and privacy for multiparty computation, hashing, and encryption
(Massachusetts Institute of Technology, 2020)
One of the fundamental goals of cryptography is to be able to offer security and privacy without sacrificing functionality. Cryptographers have been able to achieve the best of all three by exploiting the assumed hardness ...
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 ...
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 ...
Solving for syntax
(Massachusetts Institute of Technology, 2021)
Among the key questions that have guided research into the nature of human language for the past sixty years, two have been particularly salient: (1) What constitutes knowledge of language? and (2) How is that knowledge ...
Programmable interfaces for biomedical and neuroscience applications
(Massachusetts Institute of Technology, 2021)
The rapidly changing fields of biomedical sciences and neuroscience increasingly adopt scientific and technological innovations to advance the diagnosis and treatment of disease. With the emergence of miniaturized and ...
Analytics for accelerating biomedical innovation
(Massachusetts Institute of Technology, 2021)
Despite the many breakthroughs in biomedical research and the increasing demand for new drugs to treat unmet medical needs, the productivity of research and development in the pharmaceutical industry has been steadily ...
Energy efficient SAR ADC with resolution enhancement for sensor signals
(Massachusetts Institute of Technology, 2021)
Many signals from sensors are low activity signals that spend most of its time around middle of the full scale with occasional large activity. A/D conversion of such signals using a conventional ADC with a constant resolution ...
Exhaustive search and hardness proofs for games
(Massachusetts Institute of Technology, 2020)
This thesis explores several games from two perspectives: exhaustive search and hardness proofs. First, we present an exhaustive search for hardness proofs: a system for finding motion planning simulations. Second, we prove ...