Temperature Measurement

Temperature measurement is a crucial field encompassing diverse applications, from medical diagnostics to industrial process control and even the analysis of large language models. Current research focuses on improving accuracy and reliability through techniques like machine learning (e.g., convolutional neural networks, gradient boosting, LSTM) integrated with various sensing modalities (infrared thermography, tactile sensors, remote sensing). These advancements are driving improvements in non-contact temperature sensing, enhancing the precision of industrial processes, and providing new insights into complex systems like weather forecasting and the behavior of artificial intelligence.