New ideas to increase the safety and reliability of multicopters have become critical to optimizing maintenance activities, reducing fatalities in unmanned aircraft, increasing surveillance reliability in drones, and improving mission effectiveness in vertical take-off and landing (VTOL) aircraft.
"Researchers at RPI developed an optical reservoir computer (ORC) with commercial off-the-shelf components to predict lung tumor motion during radiotherapy. The technology could improve radiation therapy outcomes and yield applications for other imaging modalities. The ORC shows comparable motion prediction accuracy and error rates to traditional neural networks (long short-term memory (LSTM), Multi-Layer Perceptron Neural Network (MLP-NN), and Adaptive Boosting and Multi-Layer Perceptron Neural Network (ABMLP-NN)).
Nonphotochemical quenching (NPQ) is a response mechanism in plants and algae that allows them to process and dissipate excess excitation energy as heat safely. Collecting fluorescence data from these plants and algae in surface water environments can incur errors from NPQ, ultimately leading to inaccurate calculations of chlorophyll concentration for environmental and industrial water quality monitoring. Rensselaer inventors developed a novel approach to correcting NPQ-skewed fluorescence data by employing trained machine-learning modules that can be applied to fluorescence detection system