Browsing MIT Open Access Articles by Title
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Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense
(Elsevier BV, 2020)© 2020 THE AUTHORS Recent progress in deep learning is essentially based on a “big data for small tasks” paradigm, under which massive amounts of data are used to train a classifier for a single narrow task. In this paper, ... -
THE DARK-MATTER FRACTION IN THE ELLIPTICAL GALAXY LENSING THE QUASAR PG 1115+080
(American Astronomical Society, 2009-05)We determine the most likely dark-matter fraction in the elliptical galaxy quadruply lensing the quasar PG 1115+080 based on analyses of the X-ray fluxes of the individual images in 2000 and 2008. Between the two epochs, ... -
DARQ Matter Binds Everything: Performant and Composable Cloud Programming via Resilient Steps
(ACM, 2023-06-20)Providing strong fault-tolerant guarantees for the modern cloud is difficult, as application developers must coordinate between independent stateful services and ephemeral compute, and handle various failure-induced anomalies. ... -
Darsim: A Parallel Cycle-Level NoC Simulator
(2010)We present DARSIM, a parallel, highly configurable, cycle-level network-on-chip simulator based on an ingress-queued wormhole router architecture. The parallel simulation engine offers cycle-accurate as well as periodic ... -
The DarTG toxin-antitoxin system provides phage defence by ADP-ribosylating viral DNA
(Springer Science and Business Media LLC, 2022)Toxin-antitoxin (TA) systems are broadly distributed, yet poorly conserved, genetic elements whose biological functions are unclear and controversial. Some TA systems may provide bacteria with immunity to infection by their ... -
Darwinian selection of host and bacteria supports emergence of Lamarckian-like adaptation of the system as a whole
(Biomed Central Ltd, 2018-10)Background The relatively fast selection of symbiotic bacteria within hosts and the potential transmission of these bacteria across generations of hosts raise the question of whether interactions between ... -
Data analysis techniques, differential cross sections, and spin density matrix elements for the reaction γ p → ϕ p
(American Physical Society (APS), 2014)High-statistics measurements of differential cross sections and spin density matrix elements for the reaction γp→φp have been made using the CLAS detector at Jefferson Lab. We cover center-of-mass energies (s) from 1.97 ... -
Data analytics and pump control in a wastewater treatment plant
(Elsevier BV, 2021-10) -
Data analytics and pump control in a wastewater treatment plant
(Elsevier BV, 2021) -
Data Analytics in Operations Management: A Review
(Institute for Operations Research and the Management Sciences (INFORMS), 2020)© 2019 INFORMS Research in operations management has traditionally focused on models for understanding, mostly at a strategic level, how firms should operate. Spurred by the growing availability of data and recent advances ... -
Data Assimilation with Gaussian Mixture Models using the Dynamically Orthogonal Field Equations. Part I. Theory and Scheme
(American Meteorological Society, 2012)This work introduces and derives an efficient, data-driven assimilation scheme, focused on a time-dependent stochastic subspace, that respects nonlinear dynamics and captures non-Gaussian statistics as it occurs. The ... -
Data Assimilation with Gaussian Mixture Models using the Dynamically Orthogonal Field Equations. Part II. Applications
(American Meteorological Society, 2012)The properties and capabilities of the GMM-DO filter are assessed and exemplified by applications to two dynamical systems: (1) the Double Well Diffusion and (2) Sudden Expansion flows; both of which admit far-from-Gaussian ... -
Data Association for Semantic World Modeling from Partial Views
(Sage Publications, 2015-01-16)Autonomous mobile-manipulation robots need to sense and interact with objects to accomplish high-level tasks such as preparing meals and searching for objects. To achieve such tasks, robots need semantic world models, ... -
Data Augmentation and Pretraining for Template-Based Retrosynthetic Prediction in Computer-Aided Synthesis Planning
(American Chemical Society (ACS), 2020)Copyright © 2020 American Chemical Society. This work presents efforts to augment the performance of data-driven machine learning algorithms for reaction template recommendation used in computer-aided synthesis planning ... -
Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation
(Institute of Electrical and Electronics Engineers (IEEE), 2019-06)Image segmentation is an important task in many medical applications. Methods based on convolutional neural networks attain state-of-the-art accuracy; however, they typically rely on supervised training with large labeled ... -
Data Civilizer 2.0: a holistic framework for data preparation and analytics
(VLDB Endowment, 2019)© 2019 VLDB Endowment. Data scientists spend over 80% of their time (1) parameter-tuning machine learning models and (2) iterating between data cleaning and machine learning model execution. While there are existing efforts ... -
Data Civilizer 2.0: a holistic framework for data preparation and analytics
(VLDB Endowment, 2019)© 2019 VLDB Endowment. Data scientists spend over 80% of their time (1) parameter-tuning machine learning models and (2) iterating between data cleaning and machine learning model execution. While there are existing efforts ... -
Data compression techniques for urban traffic data
(Institute of Electrical and Electronics Engineers (IEEE), 2013-04)With the development of inexpensive sensors such as GPS probes, Data Driven Intelligent Transport Systems (D[superscript 2]ITS) can acquire traffic data with high spatial and temporal resolution. The large amount of collected ... -
Data decomposition of Monte Carlo particle transport simulations via tally servers
(Elsevier, 2013-06)An algorithm for decomposing large tally data in Monte Carlo particle transport simulations is developed, analyzed, and implemented in a continuous-energy Monte Carlo code, OpenMC. The algorithm is based on a non-overlapping ...
