Abstract: A walking aid for taking up a deployment supported force for supporting a person using the walking aid, including a support upper part for engaging around the person, a shaft and a support foot arranged at a lower end of the shaft and having multiple swivelable support legs which can be moved between a storage position in which they are folded out from one another at a predefined angle and the walking aid can be set down on the ground, and a use position in which the support legs are folded together and arranged next to one another and the walking aid can be used, characterized in that the support legs are swivelably retained at a lower end of the shaft, and in that they are designed for taking up the deployment supported force in the use position.

Abstract: A subtitle segmentation system employs a neural network model to find good segment boundaries. The model may be trained on millions of professionally segmented subtitles, and implicitly learns from data the underlying guidelines that professionals use. For controlling different characteristics of the output subtitles, the neural model may be combined with a number of heuristic features. To find the best segmentation according to the model combination, a dedicated beam search decoder may be implemented. The segmentation system incorporates a trained neural model comprising a word embedding layer, at least two bi-directional LSTM layers, a softmax layer and program instructions for segmenting text into subtitles.

Abstract: A walking aid for taking up a deployment supported force for supporting a person using the walking aid, comprising a support upper part for engaging around the person, a shaft and a support foot arranged at a lower end of the shaft and having multiple swivelable support legs which can be moved between a storage position in which they are folded out from one another at a predefined angle and the walking aid can be set down on the ground, and a use position in which the support legs are folded together and arranged next to one another and the walking aid can be used, characterized in that the support legs are swivelably retained at a lower end of the shaft, and in that they are designed for taking up the deployment supported force in the use position.

Abstract: A subtitle segmentation system employs a neural network model to find good segment boundaries. The model may be trained on millions of professionally segmented subtitles, and implicitly learns from data the underlying guidelines that professionals use. For controlling different characteristics of the output subtitles, the neural model may be combined with a number of heuristic features. To find the best segmentation according to the model combination, a dedicated beam search decoder may be implemented. The segmentation system incorporates a trained neural model comprising a word embedding layer, at least two bi-directional LSTM layers, a softmax layer and program instructions for segmenting text into subtitles.