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 generalized event cameras that use event streams to inherently preserve scene intensity without added hardware complexity. These generalized event cameras use an in...
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UW-Madison researchers have created a spiral inductor for on chip electromagnetic signal conversion. The spiral inductors include an electrically conductive spiral coil and a nitrogen vacancy (NV) dia...
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UW-Madison researchers developed a broadband, electronically reconfigurable lens-array antenna with high-power handling capability and multi-state quantization. The device offers an electronically swi...
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UW-Madison researchers have created a method capable of estimating extreme scene motion under challenging conditions, such as low light or high dynamic range, from a sequence of high-speed image frame...
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UW researchers have a new ultra-wideband, electronically reconfigurable reflectarray antenna design with 1-bit phase quantization. One of the innovative features of this design is that it achieves ele...
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UW-Madison researchers have developed a photon processing method that enables reliable scene property estimation over a wide range of operating conditions while requiring no training and remaining agn...
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UW-Madison researchers have created new innovations to improve neutral atom-based quantum processing. First, new optical intensity masks for trapping two-dimensional arrays of neutral atoms of two spe...
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The range of passive RFID tags is constrained by three factors. The first is that the reflected energy to the reader rapidly decreases with distance between the reader and the RFID tag both with respe...
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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 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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