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 …

TS-071946 — Powering faster, smarter decisions with real-time molecular insights for research and therapeutic development.

TS-067434 — The Need Spatial aggregation is crucial in numerous industries where data from low-level spatial units, such as census blocks, must be grouped into larger, meaningful regions. Traditional approaches often struggle with the computational complexity of these tasks and tend to focus on finding a singl…

TS-065436 — The Need: In an era dominated by digital transactions and sensitive data exchanges, ensuring robust cybersecurity measures is paramount for individuals and organizations alike. Traditional methods of securing data often fall short in the face of sophisticated cyber threats, necessitating innovative …

TS-065412 — The Need: In contemporary cybersecurity landscapes, the conventional methods of employing Physically Unclonable Functions (PUFs) necessitate maintaining a secure challenge-response database. However, this practice poses significant security risks as access to this database could lead to the comprom…

TS-051417 — Traditional regression analysis has been a staple in predicting cause-effect relationships. Counltess industries use these methods to predict rare events, from economic issues to cancer research, causality is often a desired result. Given the vast amount of potential variables it sometimes becomes…

TS-042266 — A monaural machine-learning algorithm for classifying time-frequency units in an unknown signal, which results in marked speech-intelligibly improvements in noisy signals.