Search
Now showing items 21-30 of 119
Robot learning with strong priors
(Massachusetts Institute of Technology, 2020)
Embedding learning ability in robotic systems is one of the long sought-after objectives of artificial intelligence research. Despite the recent advancements in hardware, large-scale machine learning algorithms and theoretical ...
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, ...
Defining scalable high performance programming with DEF
(Massachusetts Institute of Technology, 2020)
Performance engineering is performed in languages that are close to the machine, especially C and C++, but these languages have little native support for concurrency. We're deep into the multicore era of computer hardware, ...
Towards lightweight high-voltage power conversion
(Massachusetts Institute of Technology, 2020)
An emerging application, electroaerodynamic (EAD) propulsion, has stimulated the needs for light-weight high voltage dc-dc and dc-ac power converters. Weight reduction of these converters in the operating range of interest ...
Distributed computation and inference
(Massachusetts Institute of Technology, 2020)
In this thesis, we explore questions in algorithms and inference on distributed data. On the algorithmic side, we give a computationally efficient algorithm that allows parties to execute distributed computations in the ...
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 ...
Structure as simplification : transportation tools for understanding data
(Massachusetts Institute of Technology, 2020)
The typical machine learning algorithms looks for a pattern in data, and makes an assumption that the signal to noise ratio of the pattern is high. This approach depends strongly on the quality of the datasets these ...
Solid-state spin-integrated circuits for quantum sensing and control
(Massachusetts Institute of Technology, 2020)
Spin systems are an increasingly important quantum-sensing platform. In particular, atomic defect centers in diamond called nitrogen-vacancy (NV) centers offer impressive room temperature imaging capabilities for both ...
Secure analog-to-digital conversion against power side-channel attack
(Massachusetts Institute of Technology, 2020)
At the interface between analog circuits and a digital processor, an ADC can create a critical hardware security loophole. By exploiting the power side-channel leakage of the ADC, an attacker can expose the private signal ...
Low power circuits with integrated magnetics for sensors and energy harvesting systems
(Massachusetts Institute of Technology, 2020)
The continued expansion of Internet of Things has led to a proliferation of wireless sensors and systems across the globe. The application space for sensors is wide-ranging: from industries, to serve the upcoming era of ...