WARF - Wisconsin Alumni Research Foundation

03/10/2026 | Press release | Distributed by Public on 03/10/2026 06:21

WARF Advances in Engineering and Computer Science | March 2026

WARF ADVANCES
Top licensing prospects from the University of Wisconsin-Madison

Smart Scheduling Over Composable GPUs
This system improves how computers manage powerful GPUs by dynamically sharing and scheduling resources as tasks change. It supports flexible, scalable computing for today's complex and fast-changing workloads.
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Photonic Content Addressable Memory
UW-Madison electrical and computer engineers have developed a new optical content addressable memory (CAM) array that can perform large parallel CAM operations.
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New Light-Extracting Structure Could Boost Quantum Device Performance
This simple, low-cost structure boosts light output from solid-state quantum materials like diamond without damaging their surface, a common issue with current light-extraction methods that reduces performance.
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Electrohydrodynamic Inkjet Printing
UW-Madison industrial engineers have developed a new EHD inkjet printing device with a groundless printhead. The system can be made modular such that the printhead can be used with existing printers.
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Computer Architecture Using Program Counter Indexed Data Address Translation
This non-traditional approach to memory address translation relies on using the identity of an instruction (the instruction PC), and not on the actual data address, to obtain a page table entry for the data address that is expected to be accessed by the instruction.
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Eulerian Single-Photon Computer Vision
These computationally light-weight phase-based techniques for low-level vision tasks such as edge detection and motion estimation extract scene information directly from binary quanta samples while avoiding the memory and compute-intensive intermediate step of image reconstruction.
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Read about more licensing prospects!

Featured UW-Madison Researcher

[Link] Xiangyao Yu, Professor of Computer Sciences

"Prof. Yu's innovations make data analysis more efficient, saving users both time and money, while helping them realize new insights from the growing amounts of data being produced. We look forward to seeing how Xiangyao's research advances database technology."

- Leah Haman, WARF Senior Intellectual Property Manager

In the News

WARF - Wisconsin Alumni Research Foundation published this content on March 10, 2026, and is solely responsible for the information contained herein. Distributed via Public Technologies (PUBT), unedited and unaltered, on March 10, 2026 at 12:21 UTC. If you believe the information included in the content is inaccurate or outdated and requires editing or removal, please contact us at [email protected]