TS-072329 — The Need The rapid growth of artificial intelligence and neural networks is driving unprecedented demand for energy-efficient, scalable hardware. Conventional memristors require rare earths and complex fabrication, contributing to electronic waste and limiting accessibility. There is a critical need…

TS-072328 — The Need Current firefighting methods often rely on water, toxic foams, or pre-installed systems, which can strain resources, pose environmental hazards, and limit portability. There is a growing demand for safer, non-toxic, and portable fire suppression solutions that can be rapidly deployed in div…

TS-072052 — The Need Current wearable sensors for muscle health are limited in their ability to track real-time geometric changes in muscle size and shape, especially outside controlled laboratory environments. Existing solutions, such as force myography and ultrasound, either lack direct geometric insight or a…

TS-071961 — The Need Despite near-perfect external quantum efficiency in blue InGaN LEDs, devices emitting green, amber, and longer visible wavelengths remain inefficient. This is due to internal electric fields and charge separation in conventional quantum wells, which worsen with higher indium content and wid…

TS-071747 — The Need 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 …

TS-071744 — The Need Current inkjet printing technologies are limited by the need for inks with specific viscosity and ejection properties, which restricts the range of printable materials and compromises print resolution due to droplet splashing. There is a significant need for a printing method that enables…

TS-070520 — The Need Accurate, real-time mapping of shear forces in fluid environments remains a challenge, particularly in applications requiring passive, non-invasive, and long-term monitoring. Existing technologies often rely on active sensors that require power, are difficult to integrate into sensitive sys…

TS-070304 — The Need Current clinical methods for assessing tremor severity in patients with Parkinson’s disease and other movement disorders rely heavily on subjective, qualitative observations, such as evaluating hand-drawn spirals or observing motor tasks. These approaches lack precision, are difficult…

TS-070302 — The Need Current quantum computing technologies face significant challenges in scalability, error correction, and computational efficiency. There is a critical need for a robust, scalable quantum processor that can perform complex computations with high fidelity and low error rates, enabling advance…

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…