Search
Now showing items 71-80 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 ...
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, ...
Toward distributed control for autonomous electrical energy systems
(Massachusetts Institute of Technology, 2020)
In this thesis we study the problem of enabling autonomous electrical energy systems (AEESs) by means of distributed control. We first propose a modular modeling approach that represents a general electrical energy system ...
Hierarchical selective electrokinetic concentration : the universal next-generation biomolecule enrichment technique for molecular diagnostics
(Massachusetts Institute of Technology, 2020)
Rapid and reliable detection of ultralow-abundance nucleic acids and proteins in complex biological media may greatly advance clinical diagnostics and biotechnology development. Because of the slow mass transport and weak ...
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 ...
Energy efficient sub-terahertz electrical interconnect
(Massachusetts Institute of Technology, 2021)
With the end of Moore's Law and Dennard scaling in silicon platforms, coupled with the increase in computational demand across applications, the semiconductor industry has seen a move towards high-density compute leveraging ...
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 ...
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 ...
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 ...