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We discuss the Gaussian graphical model (GGM; an undirected network ofpartial correlation coefficients) and detail its utility as an exploratory dataanalysis tool. The GGM shows which variables predict one-another, allows forsparse modeling of covariance structures, and may highlight potential...
A technique developed in the Cziczo Lab may be the most accurate way of identifying biological aerosols from mineral dust in the atmosphere and analyzing their contribution to cloud formation and climate change.
Conference convened by the White House Office of American Innovation includes leading corporate CEOs and other technology leaders.
Technique that reduces video files to one-tenth their initial size enables speedy analysis of laparoscopic procedures.
GelSight technology lets robots gauge objects’ hardness and manipulate small tools.
Initially turned down by nearly every college he applied to, the computer scientist cleared his own path to MIT.
CSAIL approach allows robots to learn a wider range of tasks using some basic knowledge and a single demo.
Viewing a data set such as the clouds of Jupiter, coherence is readilyapparent to human observers, especially the Great Red Spot, but also othergreat storms and persistent structures. There are now many differentdefinitions and perspectives mathematically describing coherent structures, butwe will...
Machine learning is one of the hottest subjects on campus.
Leader in machine learning and natural language processing takes on professorship established by veteran software entrepreneur Thomas Siebel.
Although support vector machines (SVMs) are theoretically well understood,their underlying optimization problem becomes very expensive, if, for example,hundreds of thousands of samples and a non-linear kernel are considered.Several approaches have been proposed in the past to address this...
Ballyhooed artificial-intelligence technique known as “deep learning” revives 70-year-old idea.
We present ten different strength-based statistical models that we use tomodel soccer match outcomes. The models are of three main types: Bradley-Terry,Independent Poisson and Bivariate Poisson, and their common aspect is that theparameters are estimated via weighted maximum likelihood, the weights...
Amnon Shashua PhD ’93, co-founder of Mobileye, discusses challenges associated with autonomous vehicles in MIT visit.
With support from the Toyota Research Institute, MIT faculty will focus on next-generation energy storage.
Drew Houston ’05 chatted with student innovators and shared his latest projects.
Computer scientist Regina Barzilay empowers cancer treatment with machine learning.
How useful can machine learning be in a quantum laboratory? Here we raise thequestion of the potential of intelligent machines in the context of scientificresearch. A major motivation for the present work is the unknown reachabilityof various entanglement classes in quantum experiments. We...
Low-power special-purpose chip could make speech recognition ubiquitous in electronics.
The consistency of a bootstrap or resampling scheme is classically validatedby weak convergence of conditional laws. However, when working with stochasticprocesses in the space of bounded functions and their weak convergence in theHoffmann-J{\o}rgensen sense, an obstacle occurs: due to possiblenon...
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