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-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-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-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…

TS-073358 — Reliable positioning, navigation, and timing (PNT) in GNSS‑denied or disrupted environments remains a critical challenge for defense, transportation, and autonomous systems. While low Earth orbit (LEO) communications satellites offer powerful signals and rapid geometry changes, they are typicall…

TS-073339 — Positioning, navigation, and timing (PNT) resilience is increasingly critical as GNSS vulnerabilities become more apparent in contested, denied, or degraded environments. Low Earth orbit (LEO) communication satellites offer a promising alternative PNT source, but their utility is limited by poorly…

TS-073212 — Reliable positioning, navigation, and timing (PNT) increasingly depends on access to resilient, high‑integrity signals. Traditional GNSS systems face vulnerabilities, including signal blockage, jamming, spoofing, and limited geometric diversity. Meanwhile, emerging low Earth orbit (LEO) megacons…