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Automatic code-patching system corrects nearly twice as many errors as its predecessors.
Computer vision and machine learning expert Antonio Torralba to lead new artificial intelligence research lab.
New research describes a price-optimization method to increase online retailers’ revenue, market share, and profit.
In this work we propose a method for learning wavelet filters directly fromdata. We accomplish this by framing the discrete wavelet transform as amodified convolutional neural network. We introduce an autoencoder wavelettransform network that is trained using gradient descent. We show that themodel...
General-purpose technique sheds light on inner workings of neural nets trained to process language.
IBM and MIT to pursue joint research in artificial intelligence, establish new MIT–IBM Watson AI Lab
IBM plans to make a 10-year, $240 million investment in new lab with MIT to advance AI hardware, software, and algorithms.
Lab seeks to expand the boundaries of research on artificial intelligence.
Research in Sports Sciences is supported often by inferences based on thedeclaration of the value of the statistic statistically significant ornonsignificant on the bases of a P value derived from a null-hypothesis test.Taking into account that studies are manly conducted in sample, the use of...
ComText, from the Computer Science and Artificial Intelligence Laboratory, allows robots to understand contextual commands.
System can apply a range of styles in real-time, so that the viewfinder displays the enhanced image.
A generalized additive model (GAM, Hastie and Tibshirani (1987)) is anonparametric model by the sum of univariate functions with respect to eachexplanatory variable, i.e., $f({\mathbf x}) = \sum f_j(x_j)$, where$x_j\in\mathbb{R}$ is $j$-th component of a sample ${\mathbf x}\in\mathbb{R}^p$. In this...
MIT Office of Sustainability announces awards to multi-departmental projects that test management, design, and operations solutions on campus.
Given a still image of a dish filled with food, CSAIL team's deep-learning algorithm recommends ingredients and recipes.
Commercial prototypes of the system will be available to the self-driving vehicle industry.
Mixture models are a popular tool in model-based clustering. Such a model isoften fitted by a procedure that maximizes the likelihood, such as the EMalgorithm. At convergence, the maximum likelihood parameter estimates aretypically reported, but in most cases little emphasis is placed on...
Method for modeling neural networks’ power consumption could help make the systems portable.
Method for designing efficient computer chips may get miniature smart drones off the ground.
In this paper we consider variational regularization methods for inverseproblems with large noise that is in general unbounded in the image space ofthe forward operator. We introduce a Banach space setting that allows to definea reasonable notion of solutions for more general noise in a larger...
Density of highly educated residents, rather than income or housing costs, predicts revitalization.
Machine learning approach could aid the design of industrial processes for drug manufacturing.
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