Robust Evaluation Framework for AI Alignment
Developing standardized methodologies to evaluate AI systems for alignment, robustness, and value consistency. This framework is now adopted by several leading research institutions.
Advancing AI through interdisciplinary research and collaborative innovation.
Developing standardized methodologies to evaluate AI systems for alignment, robustness, and value consistency. This framework is now adopted by several leading research institutions.
Collaborating with regional hospitals to deploy AI-driven medical imaging analysis tools that improve diagnostic accuracy and reduce time-to-diagnosis, especially in resource-constrained settings.
Exploring novel neural architecture search and quantization techniques to deploy high-performance AI models on devices like smartphones, drones, and IoT sensors.
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