Abstract: A model management system performs error analysis on results predicted by a machine learning model. The model management system identifies an incorrectly classified image outputted from a machine learning model and identifies using the Neural Template Matching (NTM) algorithm, an additional image correlated to the selected image. The system outputs correlated images based on a given image and a selection by a user through a user interface of a region of interest (ROI) of the given image. The region is defined by a bounding polygon input and the correlated images include features correlated to the features within the ROI. The system prompts a task associated with the additional image. The system receives a response that includes an indication that the additional image is incorrectly labeled and including a replacement label and instruct that the machine learning model be retrained using an updated training dataset that includes the replacement label.

Abstract: A model management system adaptively refines a training dataset for more effective visual inspection. The system trains a machine learning model using the initial training dataset and sends the trained model to a client for deployment. The deployment process generates outputs that are sent back to the system. The system determines that performance of predictions for noisy data points are inadequate and determines a cause of failure based on a mapping of the noisy data point to a distribution generated for the training dataset across multiple dimensions. The system determines a cause of failure based on an attribute of the noisy datapoint that deviates from the distribution of the training dataset and performs refinement towards the training dataset based on the identified cause of failure. The system retrains the machine learning model with the refined training dataset and sends the retrained machine learning model back to the client for re-deployment.

Abstract: The present application satisfies the need to provide a teaching aid system that can connect to a projector, television or screen for interaction by means of a light pen. The electronic system comprises, among others elements, a fixed piece and a movable piece with an internal pivot shaft, the fixed part containing a wireless routing system. The fixed part has outlet ports for video, and Ethernet network and communication ports. The movable piece contains an image capture sensor, a sound sensor and an infrared radiation source sensor. The system also comprises internal components such as an integrated computer that is connected to a motherboard. The sound sensor and the infrared radiation source sensor are contained in the movable part and are connected by means of flexible wires to the motherboard or directly to the integrated computer. The motherboard and the integrated computer are connected together.