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Now showing items 41-50 of 677
Co-design of on-chip caches and networks for scalable shared-memory many-core CMPs
(Massachusetts Institute of Technology, 2018)
Chip Multi-Processors(CMPs) have become mainstream in recent years, providing increased parallelism as core counts scale. While a tiled CMP is widely accepted to be a scalable architecture for the many-core era, on-chip ...
Exploiting visual motion to understand our visual world
(Massachusetts Institute of Technology, 2017)
Motion is important for understanding our visual world. The human visual system relies heavily on motion perception to recognize the movement of objects, to infer the 3D geometry of a scene, and to perceive the emotions ...
Computational personal genomics : understanding the functional effects of sequence variation
(Massachusetts Institute of Technology, 2016)
Understanding how variation in genome sequence leads to differences in gene regulation is a longstanding challenge that is essential to explaining the many phenotypic differences and complex diseases that are observed in ...
Transfer learning for low-resource natural language analysis
(Massachusetts Institute of Technology, 2017)
Expressive machine learning models such as deep neural networks are highly effective when they can be trained with large amounts of in-domain labeled training data. While such annotations may not be readily available for ...
Accountable systems : enabling appropriate use of information on the Web
(Massachusetts Institute of Technology, 2014)
.The Web is plagued by problems of privacy and piracy. In each instance, outdated laws combined with current technology provides little reassurance to information providers, and may have damaging side effects. To meet this ...
Composition structures for system representation
(Massachusetts Institute of Technology, 2017)
This thesis discusses parameter estimation algorithms for a number of structures for system representation that can be interpreted as different types of composition. We refer to the term composition as the systematic ...
Fine-grained cryptography
(Massachusetts Institute of Technology, 2018)
Fine-grained cryptography is the study of cryptographic objects that are required to be secure only against adversaries that are moderately more powerful than the honest parties. This weakening in security requirements ...
Grounding natural language with autonomous interaction
(Massachusetts Institute of Technology, 2017)
The resurgence of deep neural networks has resulted in impressive advances in natural language processing (NLP). This success, however, is contingent on access to large amounts of structured supervision, often manually ...
Engineering at the limits of the nanoscale
(Massachusetts Institute of Technology, 2017)
At the nanoscale, unique properties and phenomena emerge that can lead to scientific and technological paradigms beyond those classically envisioned. Exploring these opportunities at the few-nanometer regime requires ...
Designing fast and programmable routers
(Massachusetts Institute of Technology, 2017)
Historically, the evolution of network routers was driven primarily by performance. Recently, owing to the need for better control over network operations and the constant demand for new features, programmability of routers ...