Abstract: An advanced pedestrian warning or alert system is a system for automotive vehicles is described herein in various embodiments. This system detects if a vulnerable road user, for example a pedestrian, is at an unsafe distance from the moving vehicle. If a pedestrian is too close to the vehicle when the vehicle is in motion, then the system will issue auditory and/or visual warnings to notify the pedestrian back to safety.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using embedded function with a deep network. One of the methods includes receiving an input comprising a plurality of features, wherein each of the features is of a different feature type; processing each of the features using a respective embedding function to generate one or more numeric values, wherein each of the embedding functions operates independently of each other embedding function, and wherein each of the embedding functions is used for features of a respective feature type; processing the numeric values using a deep network to generate a first alternative representation of the input, wherein the deep network is a machine learning model composed of a plurality of levels of non-linear operations; and processing the first alternative representation of the input using a logistic regression classifier to predict a label for the input.

Abstract: A system comprising a pumping system configured to pump respective exhaust gases from each of a plurality of chemical etching process chambers and to combine the exhaust gases to provide a combined exhaust gas, and a noble gas recovery system configured to process the combined exhaust gas to remove one or more noble gases therefrom.