AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Vision-based tactile sensors provide high-resolution contact information for robotic perception and contact-rich manipulation, advancing embodied intelligence through more reliable physical interaction. However, device-specific sensing mechanisms cause tactile foundation models to degrade on unfamiliar hardware. Existi...
Test-Time Memory Calibration (TTMC), a novel gradient-free analytic framework that introduces a transductive calibration mechanism that seamlessly fuses the second-order statistics of the unlabelled test stream into the accumulated long-term memory via a closed-form solution, allowing for real-time alignment with the t...
Existing Online Continual Learning (OCL) methods, particularly those based on Parameter-Efficient Fine-Tuning (PEFT), predominantly operate under a Static Inference Assumption, which means freezing model parameters immediately after training. This paradigm ignores the inevitable covariate shift in non-stationary test s...
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