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Human–AI Interaction Research Platform
TS-074578 — Opportunity Overview This technology is a web‑based, multi‑user platform designed to rigorously study how people interact with AI systems in real time. Unlike traditional survey tools or product A/B testing environments, the platform supports live human–AI collaboration while capturing …
  • College: College of Arts & Sciences
  • Inventors: Meng, Jingbo
  • Licensing Officer: Panic, Ana

HyperXtract: Rapid, Memory-Efficient Data Extraction for Nanopore Data
TS-070331 — Accelerate discovery and streamline workflows with a next-generation platform for high-throughput nanopore data extraction.
The Need Nanopore sensing is revolutionizing genomics, proteomics, and diagnostics, but the explosive growth in data volume has outpaced the capabilities of current analysis tools. Researchers often face bottlenecks due to slow processing speeds, memory limitations, and the need for specialized har…
  • College: College of Arts & Sciences
  • Inventors: Bandara, Nuwan
  • Licensing Officer: Panic, Ana

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