Reconfigurable In-Sensor Processing Based on a Multi-Phototransistor–One-Memristor Array

Report on the Academic Paper: “Reconfigurable In-Sensor Processing Based on a Multi-Phototransistor-One-Memristor Array: A New Visual Computing Platform Combining Machine Learning and Brain-Inspired Neural Networks” Academic Background and Problem Identification Artificial vision systems play a significant role in intelligent edge computing. Howeve...

Investigating Useful Features for Overall Survival Prediction in Patients with Low-Grade Glioma Using Histology Slides

Useful Features for Overall Survival Prediction in Low-Grade Glioma Patients Academic Background Glioma is a type of neoplastic growth in the brain that usually poses a serious threat to the patients’ lives. In most cases, glioma eventually leads to the death of the patient. The analysis of glioma typically involves examining pathological slices of...

Adaptively Identify and Refine Ill-Posed Regions for Accurate Stereo Matching

Adaptively Identify and Refine Ill-Posed Regions for Accurate Stereo Matching

Adaptive Identification and Optimization of Ill-Posed Regions for Accurate Stereo Matching Research Background and Motivation With the rapid development of computer vision technology, stereo matching technology has played a crucial role in various fields such as robotics, aerospace, autonomous driving, and industrial manufacturing due to its high a...