TS-077316 — Fatigue qualification of metal components can require lengthy, expensive cyclic testing, particularly when component geometry, manufacturing history, and material gradients make coupon-level data insufficient. Thermal assessment offers a faster alternative, but conventional approaches rely on full…

TS-077314 — Security teams increasingly need to identify related or vulnerable code across large collections of compiled software and firmware. This is difficult because compilation strips away source-level information, while different compilers, optimization settings, and processor architectures can make fun…

TS-077279 — AI data centers are being built faster than the grid can keep up. In some regions, electricity demands are projected to grow from about 3 GW to 100 GW within a few years. New generation and transmission take much longer to plan, permit and build. AI training loads also ramp steeply and are sensiti…

TS-077096 — Urban traffic accidents are difficult to predict because risk changes rapidly with traffic conditions, weather, human activity, road characteristics, and events occurring elsewhere in a city. Existing prediction approaches often rely on fixed historical windows or isolated data sources, limiting t…

TS-077042 — Multirotor drones increasingly need to execute precise, dynamic trajectories while operating under strict computational, actuator, and safety constraints. Nonlinear model predictive control can provide strong tracking performance but often requires substantial onboard computation, creating challen…

TS-076995 — Manufacturers of advanced products such as nuclear fuels, specialty chemicals, energy materials, and semiconductor coatings increasingly rely on complex processes where chemical reactions and physical system behavior are tightly coupled. Existing system-level failure analysis tools are effective a…

TS-076904 — Federated learning enables collaborative AI training without sharing sensitive data, making it attractive for healthcare, finance, edge computing, and enterprise applications. However, widespread deployment remains limited by the enormous communication burden associated with repeatedly transferrin…

TS-076584 — A drone-enabled technology for auditing irrigation performance across golf courses, athletic fields, agricultural land, parks, and other managed landscapes. The system combines aerial sensor data with geospatial mapping and intelligent analysis to generate visual irrigation-audit maps and indicators of water-distribution uniformity and system efficiency. This approach may reduce the time and field labor required for conventional irrigation audits while helping users identify uneven watering and irrigation components that may need attention.

TS-075489 — Organizations across healthcare, government, finance, market intelligence, and regulatory sectors routinely generate large collections of reports containing valuable tabular data. While these reports often follow consistent formats, extracting, comparing, and analyzing information across multiple …

TS-075450 — Safety-critical systems in industries such as energy, aerospace, industrial automation, and advanced manufacturing are becoming increasingly complex, integrating hardware, software, controls, sensors, and communication networks. Existing fault analysis methods are often domain-specific and require…