TS-075686 — The rapid growth of AI training and high-performance computing workloads is driving chip power densities beyond the capabilities of many conventional cooling approaches. Data center operators face a difficult tradeoff between supporting next-generation high-power processors and controlling the sub…

TS-075588 — As federated learning expands across IoT, industrial, automotive, and connected-device ecosystems, maintaining reliable model training on energy-constrained edge devices remains a major challenge. Many devices operate on limited batteries or intermittent harvested energy, making continuous partici…

TS-075198 — Enabling stronger, more reliable randomness for modern cybersecurity.

TS-074717 — Advanced RF and microwave devices increasingly operate under highly dynamic, pulsed, and modulated conditions that expose complex transient behavior. Existing nonlinear measurement tools are largely optimized for steady-state or strictly repetitive signals, limiting insight into how devices evolve…

TS-074364 — Senior executives struggle to understand and prioritize cybersecurity risk in business terms. Existing vulnerability scoring systems rely on opaque or arbitrary measures that fail to connect cybersecurity decisions to financial impact, staffing costs, or operational tradeoffs. As a result, organiz…

TS-073844 — Current communication systems often struggle with efficiency and reliability, especially in noisy environments and varying relay positions. Traditional methods focus on exact message reconstruction, which can be resource-intensive and less effective for real-time applications. There is a growing n…

TS-073842 — In the era of 6G and beyond, efficient and robust communication of multimodal messages (text and images) is critical, especially in resource-constrained environments. Current methods struggle with noise robustness and codeword length, leading to inefficiencies and increased error rates. There is a…

TS-073841 — Current federated learning (FL) systems face significant challenges in efficiently aggregating model updates over wireless networks, especially in environments with diverse data and varying channel conditions. There is a critical need for a solution that enhances bandwidth efficiency, personalizat…

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-073553 — Positioning, navigation, and timing (PNT) systems increasingly seek alternatives or complements to GNSS due to vulnerability to interference, jamming, and limited performance in challenged environments. While low Earth orbit (LEO) communication satellites offer strong signals and favorable geometr…