UW-Madison researchers have developed a computational method for correcting the error estimate of a prediction. Implemented in computer software, the method leverages existing data sets to compute cur...
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UW-Madison researchers have developed a computer vision-based systems that leverages a deep neural network (DNN) for the automatic estimation of a load being lifted by an individual. The DNN was train...
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UW-Madison researchers have developed a method that dynamically changes exposure times on a per pixel basis in response to changes in the scene. The method relies on taking a series of images, then (o...
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UW–Madison researchers have combined the innate sensing capabilities of biological compounds with the power of electronics to create a hybrid “bio-electronic” network. This enables new biosensor...
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A computer architecture allows load instructions to fetch from cache memory "fat" loads having more data than necessary to satisfy execution of the load instruction, for example, loading a f...
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UW-Madison researchers and collaborators have developed a system that increases the security of trigger action platforms (TAP). TAPs link different computer services allowing them to work together. Th...
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UW-Madison researchers have a computer vision method utilizing spiking neural networks that provides accuracy but does not trade-off latency or power consumption. In recent years, improvements in comp...
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A network employing multiple redundancy-aware routers that can eliminate the transmission of redundant data is greatly improved by steering redundant data preferentially into common data paths possibl...
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A visual privacy system unilaterally blocks rolling shutter cameras by providing a periodically interrupted ambient light source imposing bright and dark bands on the image yet at a frequency impercep...
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A network monitor provides improved understanding of the type of data being transmitted by packets by capturing rendezvous packets, such as domain name server queries and responses, to extract text do...
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A method and an apparatus for providing a measurement of performance for a network are disclosed. For example, the method sends a plurality of multi-objective probes on a path, and receives one or mor...
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Systems and methods for determining genetic variations of an organism for performing a physiological function. The systems include a number of modules that can be integrated into existing metabolic en...
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A dataflow computer processor is teamed with a general computer processor so that program portions of an application program particularly suited to dataflow execution may be transferred to the dataflo...
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An associative memory that can be integrated with standard computer memory flexibly reduces its parallelism to match the memory bus speed thereby providing substantial increases in memory density poss...
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The amount of speed-up that can be obtained by optimizing the program to run on a different architecture is determined by static measurements of the program. Multiple such static measurements are proc...
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A GPU architecture employs a crossbar switch to preferentially store operand vectors in a compressed form allowing reduction in the number of memory circuits that must be activated during an operand f...
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Systems and methods for controlling support structures in manufacturing are provided. In particular, the present disclosure provides systems and methods for characterizing the support volume in the de...
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A wireless vibrometer employs an antenna array to significantly boost the signal-to-noise ratio of faint received signals twin small objects vibrating at acoustic frequencies. This technique may be us...
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A system for identifying the location of the mobile device uses standard fluorescent light fixtures commonly found in indoor environments and detects minor variations in the light output of those fixt...
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A computer architecture for graph-traversal provides a processor for bottom-up sequencing through the graph data according to vertex degree. This ordered sequencing reduces redundant edge checks. In o...
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A network anomaly detector evaluates two complementary measurements of network statistics, a time variation and correlation among those statistics, to provide an extremely robust detection of network ...
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A Lagrangian support vector machine solves problems having massive data sets (e.g., millions of sample points) by defining an input matrix representing a set of data having an input space with a dimen...
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Methods for adaptive data acquisition are disclosed herein. In one aspect, methods for adaptive data acquisition include performing a first sensing method on a signal having a plurality of components ...
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A cartridge for use by print-disabled users to play digital audio content and a player having a receptacle for receiving the cartridge are provided. The cartridge includes a random-access digital stor...
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A phase shifter includes a first dielectric layer, a switch mounted to the first dielectric layer, a conductive layer mounted to the first dielectric layer, a second dielectric layer mounted to the co...
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