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Now showing items 671-679 of 679
Characterization of phoneme rate as a vocal biomarker of depression
(Massachusetts Institute of Technology, 2017)
Quantitative approaches to psychiatric assessment beyond the qualitative descriptors in the Diagnostic and Statistical Manual of Mental Disorders could transform mental health care. However, objective neurocognitive state ...
A framework for proving the computational intractability of motion planning problems
(Massachusetts Institute of Technology, 2020)
This thesis develops a framework for proving computational complexity results about motion planning problems. The model captures reactive environments with local interaction. We introduce a motion planning problem involving ...
Expressive query construction through direct manipulation of nested relational results
(Massachusetts Institute of Technology, 2016)
Despite extensive research on visual query systems, the standard way to interact with relational databases remains to be through SQL queries and tailored form interfaces. This makes the power of relational databases largely ...
Redesigning the memory hierarchy to exploit static and dynamic application information
(Massachusetts Institute of Technology, 2019)
Memory hierarchies are crucial to performance and energy efficiency, but current systems adopt rigid, hardware-managed cache hierarchies that cause needless data movement. The root cause for the inefficiencies of cache ...
III-V waveguides and couplers for integrated optics
(Massachusetts Institute of Technology, 1987)
Two issues in public key cryptography : RSA bit security and a new knapsack type system
(Massachusetts Institute of Technology, 1985)
Enabling technologies for functional optical coherence tomography in retinal disease
(Massachusetts Institute of Technology, 2018)
Optical coherence tomography (OCT) imaging of retinal function has become increasingly important because alterations in the function may reflect earlier changes in ocular diseases than the alterations in the structure. ...
Hardware-aware efficient deep neural network design
(Massachusetts Institute of Technology, 2020)
Deep neural networks (DNNs) deliver best-in-class accuracy on various artificial intelligence applications. However, the high accuracy comes at the cost that the computational complexity of DNNs is much higher than that ...
Nanostructures for vacuum optoelectronic engineering
(Massachusetts Institute of Technology, 2019)
The interaction between free electrons and electromagnetic fields enables a wide range of scientific research and technological applications, ranging from electronic, optoelectronic, and microwave vacuum tubes, to electron ...