IEEE

Annular Prior Prompt Learning for Medical Images Segmentation

Abstract: Excellent performance has been achieved on medical image segmentation. Still, existing algorithms perform relatively poorly for annular objects with high intra-class variability and ...
IEEE

Adaptive Prescribed Performance Event-Triggered Optimal Control for MIMO Systems via Command Filtering and Reinforcement Learning

Abstract: This article investigates the optimal tracking control problem for uncertain multiple-input multiple-output (MIMO) nonlinear systems under constrained communication resources and prescribed ...
TechSpot

Students are learning to write for AI detectors, not for humans

Facepalm: AI writing detectors were supposed to identify machine-generated text; instead, they are quietly reshaping how students write and how they use AI in the first place. Across classrooms and ...
WPTZ

Voters select Tom Donahue as next mayor of Rutland through unusual write-in election

AFTER A SHORT CAMPAIGN PERIOD, VOTERS IN RUTLAND HAVE DECIDED WHO THEIR NEW MAYOR WILL BE... at least for the next year. THE áUNOFFICIAL RESULTS CAME IN LATE LAST NIGHT, through an announcement on ...
GitHub

GitHub - kossisoroyce/timber: Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code ...

Timber takes a trained ML model — XGBoost, LightGBM, scikit-learn, CatBoost, ONNX (tree ensembles, linear models, SVMs), or a URDF robot description — runs it through a multi-pass optimizing compiler, ...