TS-075918 — Rare earth elements (REEs) are essential for advanced manufacturing, energy technologies, electronics, and defense applications, yet their separation remains one of the most challenging and costly steps in the supply chain. Conventional separation methods often require extensive processing, hazard…

TS-074925 — There is a growing demand for non-invasive, scalable solutions to improve mental well-being, reduce stress, and enhance productivity across diverse environments such as homes, workplaces, healthcare settings, and education. Existing approaches operate largely in isolation and fail to dynamically r…

TS-074767 — Chronic and complex wounds remain a major clinical and economic burden, with high infection rates, slow healing trajectories, and limited real-time monitoring capabilities. Conventional dressings are largely passive and do not adapt to dynamic wound environments, while existing advanced therapies …

TS-074669 — Current cardiac MRI workflows rely heavily on breath-holds, ECG gating, and retrospective binning, which break down in patients with arrhythmias, irregular breathing, or limited ability to cooperate. Existing 3D approaches often average away beat-to-beat variability or suffer from motion artifacts…

TS-074599 — Discovering molecules that simultaneously satisfy multiple competing design criteria is a resource-intensive challenge across the pharmaceutical, energy, and materials industries. The enormity of chemical space makes exhaustive screening impractical, while existing AI-guided methods either restric…

TS-074268 — Real-time and free-breathing MRI applications, particularly in cardiovascular imaging, require high temporal resolution to capture rapid physiological dynamics. However, optimal temporal resolution is often patient- and application-specific and may not be known before the scan. Existing Cartesian …

TS-073818 — Autonomous vehicles and advanced driver-assistance systems require extensive testing across rare, hazardous, and edge-case scenarios to ensure safety and regulatory readiness. Existing approaches (pure simulation, hardware-in-the-loop, proving grounds, or public-road testing) each suffer from trad…

TS-073717 — Spiking Neural Networks (SNNs) promise ultra-low-power, low-latency AI for edge and neuromorphic computing, but their adoption is constrained by fundamental training challenges. SNN performance is highly sensitive to how training data are collected (e.g., lighting, sensor settings, noise), leading…

TS-073587 — Magnetic nanoparticles are widely used in applications such as magnetic hyperthermia, catalysis, sensing, and data storage, yet their performance is often limited by poor control over key magnetic properties. Existing materials typically rely on size or shape control alone, which provides limited …

TS-071747 — High-accuracy 3D depth perception is critical for autonomous systems, but current stereo camera methods falter in complex outdoor environments. While LiDAR can improve accuracy, its effectiveness plummets when using sparse data from affordable, lower-beam sensors, making high performance prohibiti…