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 have developed a system for pre-sending memory blocks to the higher levels of the memory hierarchy without the need for accurate and time-precise knowledge of processor micro-ar...
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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 growing demand for high-performance and energy-efficient processing in machine learning, image processing, and wireless communication has led to the rise of computer architectures combining genera...
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Quantum dot qubits in Si/SiGe quantum wells are an attractive platform for quantum computation due to their long coherence times, fast gate operations, nuclear-spin free isotopes, and compatibility wi...
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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 developed Qubit arrays having substrates that are engineered to suppress correlated dephasing errors, correlated relaxation errors, or both. The engineered substrates can b...
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Currently, the modulation of light used in telecom transmissions requires costly and relatively large electro-optic modulators (EOMs). These devices operate at high voltages and require special care t...
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UW Madison researchers have devised an optimization method to minimize quasi-particle (QP) induced errors in superconducting qubits. Their recent findings show that QPs are produced by resonant absor...
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UW researchers created a system comprised of single-photon detectors, such as single-photon avalanche diodes (SPADs), along with high-speed projectors that use digital micromirror devices (DMDs) for d...
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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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Silicon-Germanium (SiGe) heterostructures are used for many purposes in the modern electronics industry, forming the basis of devices such as SiGe heterojunction bipolar transistors and Si/SiGe modula...
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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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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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