UW Madison researchers have developed a method that tracks and models low vision users’ gazes via eye tracking data, recognizes their intent, and generates multi-modal augmentations (e.g., visual, a...
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UW-Madison researchers developed a novel Time of Flight (ToF) imaging method for dynamic scenes, with the goal of simultaneously estimating 3D geometry, intensity, and 3D motion using a single indirec...
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UW-Madison researchers have created methods and structures for high temperature SRAM memory using compound semiconductors (like GaN). These high temperature transistors are used to create new forms of...
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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 researchers have developed a novel mechanism that intelligently tracks the implicit synchronization at phase boundaries in heterogeneous systems, enabling it to be performed reactively (only when n...
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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-Madison researchers have created computationally light-weight phase-based techniques for low-level vision tasks such as edge detection and motion estimation, which extract scene information directl...
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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 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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