TS-071915 — An ultra‑efficient probit‑space ensemble expansion approach triples the size of weather‑forecast ensembles by producing hundreds of realistic “virtual” members from existing runs using minimal compute time and expert statistical knowledge.

TS-070331 — Accelerate discovery and streamline workflows with a next-generation platform for high-throughput nanopore data extraction.

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-065449 — The Need: Modern computational tasks demand efficient and resource-effective solutions. Traditional methods often fall short due to their high resource consumption and power requirements. Reservoir computing, while promising, has faced limitations in optimizing network topologies efficiently, hinder…

TS-065446 — The Need: In today's fast-paced commercial landscape, there's an increasing demand for rapid processing of complex data sets. Traditional computing methods often struggle to keep pace with real-time requirements, leading to inefficiencies and missed opportunities. Addressing this need for sw…

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-062335 — The Need: In the field of ophthalmology and vision care, there is a critical need for accurate and comprehensive measurements of visual function over the entire visual field. Conditions such as glaucoma, age-related macular degeneration (AMD), diabetes, stroke, pituitary disease, brain tumors, and n…

TS-062332 — The Need: In the fast-paced and ever-evolving landscape of graduate education, universities and academic institutions face mounting challenges in efficiently managing their graduate students' academic journeys. With diverse departmental requirements, it becomes crucial to have a centralized solu…

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.