UW-Madison researchers, along with collaborators at the University of Southern California, have developed a photonic analog-to-digital converter (pADC) architecture utilizing micro-ring resonators an...
Learn More

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...
Learn More

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...
Learn More

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...
Learn More

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...
Learn More

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 ...
Learn More

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...
Learn More

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 (...
Learn More

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...
Learn More

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...
Learn More

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 ...
Learn More

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...
Learn More

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...
Learn More

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...
Learn More

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...
Learn More

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...
Learn More

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...
Learn More

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...
Learn More

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...
Learn More

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) ...
Learn More

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 ...
Learn More

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...
Learn More

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...
Learn More

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...
Learn More

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 ...
Learn More