UCLA (or affiliated) researchers have filed an application describing a method and system for enhancing the reliability and efficiency of [hardware/software/data] system operation via dynamic adaptation, error detection, or environmental/context-aware control. It aims to improve system robustness and performance under varying conditions through autonomous or semi-autonomous mechanisms.
Modern hardware/software/data systems (e.g. distributed computing, embedded systems, IoT, sensor networks) are expected to operate reliably under a variety of unpredictable circumstances (temperature, power fluctuations, workload changes, faults). Traditional designs often include significant over-provisioning, manual monitoring, or periodic maintenance, which are costly, inefficient, and slow. In particular, achieving real-time adaptation or correction in response to environmental or internal anomalies remains a challenge, especially for systems with tight resource, energy, or latency constraints.
This patent application proposes a system that monitors operational parameters (e.g. performance metrics, error signals, environmental inputs) dynamically, detects anomalies or conditions that deviate from expected ranges, and adjusts operation (e.g. changing operating mode, invoking correction protocols, adapting workload or power) in response. The methods may include predictive modeling or thresholds, feedback control, or fault detection components embedded in the system. The system is designed to operate with minimal human intervention, improving reliability while maintaining efficiency.
Improved reliability: the system can detect and respond to faults or performance degradation.
More efficient operation: adapts to conditions (environmental or workload) to optimize power, performance, or energy use.
Reduced downtime and maintenance overhead.
Potential for longer hardware lifetime and better quality of service.
Autonomous or semi-autonomous operation reduces operator burden.
IoT devices and sensor networks with constrained power or maintenance access.
Embedded control systems in automotive, aerospace, or edge computing.
Data centers or cloud infrastructure where performance consistency is important.
Wearable devices or medical hardware needing reliability in varied environments.
Consumer electronics where user experience depends on system robustness.
US 2025/0274279 A1 — Adaptively secure streaming functional encryption system and method US20250274279A1