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This paper discovers 'Authority Inversion' in LLM-mediated ubiquitous systems, where models favor natural-language user claims over numerical sensor data. It proposes geometric audit metrics (CIR, AAI) and an inference-time calibration method (GAC) to correct this bias, showing significant improvements in accuracy.
FusionSense introduces a tri-stage near-sensor learning framework for multimodal edge intelligence that jointly reduces compute and communication by using fusion-aware filtering, achieving up to 33× energy savings and significant data-reduction gains on RGB-Depth/LiDAR tasks.
Proposes PDRNN, a modular hybrid AI-assisted pedestrian dead reckoning system that combines a recurrent neural network with separate ML models for orientation, velocity, and distance estimation, with optional radio-based stabilization. Experiments on dynamic sports movement data show superior accuracy and precision compared to classic and ML-based methods.
A developer built a fully offline suitcase robot named Sparky using a Jetson Orin NX and Gemma 4 E4B model, achieving ~200ms cached TTFT and 14-15 tok/s with 30+ sensors feeding into the prompt as natural language, all without network connectivity.
A web-based guitar tuner that utilizes the phone's accelerometer to detect string vibrations and calculate pitch.