TS-073173 — Modern navigation systems increasingly rely on signals of opportunity such as 5G and LEO satellite downlinks, but these signals often lack public reference‑signal specifications, may be dynamic or on‑demand, and can suffer from severe Doppler effects. Conventional receivers cannot reliably acq…

TS-072827 — The Need Current navigation systems, such as GNSS, face limitations in urban canyons, indoor environments, and areas with signal jamming or spoofing. The rapid proliferation of LEO satellite constellations presents an untapped opportunity for resilient, accurate positioning. However, leveraging thes…

TS-071414 — The Need Current neurochemical monitoring technologies are limited by bulky form factors, complex fabrication, and invasiveness, which restrict their clinical and research utility. Existing sensors often cause tissue damage, lack real-time resolution, and are costly to manufacture, impeding widespre…

TS-071389 — The Need As data rates and storage densities continue to increase across communication and storage systems, the demand for fast, power-efficient error correction becomes more critical. Traditional Chien search architectures, used in Reed-Solomon decoders, are often computationally intensive and inef…

TS-071385 — The Need Open source software is foundational to modern development, yet it introduces significant security risks due to outdated dependencies and inaccurate vulnerability advisories. Public databases often fail to identify all affected versions of software, leaving organizations exposed. With vulne…

TS-070631 — The Need Ultra-wideband communication systems, including mmWave and optical wireless networks, demand highly accurate and low-latency channel estimation to maintain throughput and reliability. Existing methods, such as hybrid correlation and least squares estimators, suffer from high computational c…

TS-069654 — Technology bundle containing T2025-148 and T2024-150.

TS-069653 — Technology Bundle: T2025-053, T2025-055, T2025-056

TS-068477 — The Need Autonomous Mobile Robots (AMRs) are critical to modern, highly automated environments, operating 24/7 to optimize tasks, increase throughput, and meet demanding operational requirements. However, most task allocation and charging solutions focus solely on maximizing performance metrics like…

TS-068476 — The Need Modern wireless networks, including 5G and future 6G systems, rely heavily on accurate channel prediction to ensure efficient and reliable communication. Frequency Domain Duplexing (FDD) systems face challenges in accurately predicting downlink channels from uplink channels, particularly in…