Abstract: Embodiments of the teachings herein include a portable digital display device. An example includes: a display with a display area; a first module to detect semantic content and/or a control indication; a first interface to acquire displayable digital content from a source; an energy storage; a second interface connected to the energy storage to allow recharging the energy storage; and an adjustment mechanism providing adjustment between a first state having a first footprint and a second state having a second footprint. The first footprint corresponds to the display area. The display area is fixable vertically and/or horizontally as a so-called whiteboard and is usable at the same time by a plurality of people. The second footprint renders the display device transportable.

Abstract: Various embodiments of the teachings herein include systems for automatically transforming economic, organizational, and/or industrial content and/or processes capturable by natural language into a digital representation. An example includes: modules for capturing and/or recording user-specific data; processors to process captured data for forwarding to an AI and create digital representations in a recording language; an interface to a second processor associated with a neural network having an AI trained to carry out pattern analysis, pattern recognition, and/or pattern prediction on the basis of the processed user-specific recording data; and a second interface to transmit results from the data editing of the AI to the first processor to generate a digital representation made available to the user via a display module.

Abstract: Various embodiments of the teachings herein include systems and methods for monitoring the posture of a user during use of an electronic device. An example includes: reading an image from a camera associated with the electronic device; determining a value representing the posture shown in the image; and transmitting a warning signal if the value falls in a warning range.

Abstract: Various embodiments of the teachings herein include a speech synthesizer. An example includes: a processor with a speech analysis module to analyze and process natural language for content and an emotional module to perform emotional modeling of the utterance; a neural network with an AI system; a microphone; and a memory storing a recording of natural and/or artificially spoken speech as acoustic data. The processor receives, analyzes, and processes the acoustic data stored in the memory. The neural network provides a suggestion for the emotional modeling with regard to content of the utterance. The AI system develops a suggestion for the emotional modeling on the basis of appropriate training data at least partly generated by human interaction.

Abstract: A system and method are provided for aligning a field of view (FOV) of a movable part of a medical device with a desired region on a subject's body. In the system, a position detecting unit detects an identifiable optical front projected on the subject's body and at least partially overlapping with the desired region and generates information corresponding to a spatial position of the identifiable optical front. From the information, a processing module determines the spatial position of the identifiable optical front with respect to a known position of the FOV and generates an instruction set that corresponds to one or more mechanical adjustments of the movable part to change a position of the FOV from the known position to the spatial position of the identifiable optical front. An executing module directs a moving mechanism of the movable part to carry out mechanical motions according to the instruction set.