UW-Madison researchers have created new learning-based compressive spatio-temporal histograms for high-resolution single-photon 3d cameras. They created a family of compressive representations for his...
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Low vision that cannot be corrected by eyeglasses or contact lenses affects over 7 million Americans, with significant impact on quality of life and ability to read. Current challenges in generic magn...
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UW-Madison researchers have developed a novel framework to continuously monitor the system to detect unforeseen scenarios using a gradient-based generalization metric called coherence. The proposed fr...
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UW-Madison researchers have created synchronization methods to reduce the impact of idling errors and enable lower logical error rates for Quantum Error Correction protocols. Using this method the syn...
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UW-Madison researchers have developed a new optical content addressable memory (CAM) array that can perform large parallel CAM operations. This photonic CAM provides advantages over conventional CAMs ...
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As circuit density increases, power efficiency has become a design priority for high-performance and low-power processors. Better energy efficiency means faster speeds and longer battery life.One tech...
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UW researchers have developed a novel technique that compensates for motion between high-noise frames using a recurrent convolutional neural network. Existing work uses convolutional neural networks (...
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UW-Madison researchers have created a fast storage innovation that can achieve good performance while enabling secure sharing of devices amongst applications. The design repurposes the existing hardwa...
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UW-Madison researchers have designed a non-traditional approach to memory address translation. PC-Indexed Data Address Translation (PCAX), assists with conventional data address translation which empl...
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UW-Madison researchers and collaborators have created a computational imaging framework called photon inhibition to make single-photon cameras (SPCs) energy efficient. Photon inhibition strategically ...
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UW-Madison researchers have created a method called predicate transfer, that optimizes join performance by pre-filtering tables to reduce the join input sizes. Predicate transfer generalizes Bloom joi...
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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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Researchers from UW Madison and UC San Diego have developed a biometric processing system for authentication. It combines multiple biometric signals using machine learning to map the different signals...
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UW-Madison researchers along with collaborators have designed a dynamic adaptive scheduling (DAS) framework that combines the benefits of a fast (low-overhead) scheduler and a slow (sophisticated, hig...
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The growth of digital transformation, with a focus on centralized automation and cloud services, has led to an increased demand for high-throughput and ultra-reliable low-latency network standards. Th...
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UW researchers created a computerized system for specializing programs based on a predefined set of desired program functions, thus reducing program bloat while ensuring the soundness of the resulting...
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UW-Madison researchers have devised a new computational finite element method to improve the accuracy of finite element analysis in the presence of concave, i.e., tangled, quadrilateral elements. The...
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A collaborative group of professors from several universities, including UW-Madison, have developed a molecular computer for solving a computational problem using an array of reaction sites. The compu...
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UW-Madison researchers have created an event neural network system and associated methods, comprising a family of neural networks in which neurons transmit (thereby triggering downstream computation) ...
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UW researchers have developed a system for high dynamic range imaging using single-photon and conventional image sensor data. This uses a learning-based, sensor-fusion approach to achieve the extreme ...
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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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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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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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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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