查看更多>>摘要：Reporters obtained the following quote from the background information supplied by the inventors: “Prediction or forecasting of future events from historical data has been studied in various technical fields, for example, equipment maintenance, network load balancing, human activity forecasting, financial event predict ion, and facial action event prediction. However, it is less explored whether an d how such prediction methods can be used in emotion forecasting from speech. Th e research of emotion forecasting holds promise for its potential applications i n a variety of domains such as opinion mining, human-robotinteraction, and call center data analytics in various industries.”
查看更多>>摘要：Reporters obtained the following quote from the background information supplied by the inventors: “Robots are designed for a specific application but can furthe r conduct specific missions or take over a specific task. In particular robots c an comprise one or more limb such as one or more arms and/or one or more legs to be able to conduct such a specific task or mission.
查看更多>>摘要：News editors obtained the following quote from the background information supplied by the inventors: “Working areas of industrial robots and/or robotic systems are usually secured with fences and corresponding safety control to ensure safe operation of the robot and/or the robotic system. Other robotic systems, however , are based on fenceless operation, e.g. involving safety sensors like light curtain, laser scanners, or the like, and safety control that may trigger a reaction of the robot, e.g. when an object, particularly a human, enters one or more zones or spaces observed by the safety sensors. These observed zones or spaces are usually referred to as safety zones.
查看更多>>摘要：From the background information supplied by the inventors, news correspondents o btained the following quote: “Aspart of determining whether to grant a user acc ess to content (e.g., as part of determining whether to provide a caller access to a telephone system that provides banking information), a user of the user dev ice may be prompted with one or more authentication questions. Such questions ma y relate to, for example, a password of the user, a personal identification numb er (PIN) of the user, or the like. Those questions may additionally and/or alter natively be generated based on personal information of the user. For example, when setting up an account, a user may provide a variety of answers to predetermined questions (e.g., “Where was your father born?,” “Who was your best friend in high school?”), and those questions may be presented to the user as part of an a uthentication process. As another example, a commercially-available database of personal information may be queried to determine personal information for a user (e.g., their birthdate, birth location, etc.), and that information may be used to generate an authentication question (e.g., “Where were you born, and in what year?”). A potential downside of these types of authentication questions is that the correct answers may be obtainable and/or guessable for someone who has information about a particular user.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from biorxiv.org: “Recent developments in machine-learning (ML) and deep-learning (DL) have immense potential for applications in proteomics, such as generating spectral libraries, improving peptide identification, and optimizing targeted acquisition modes. Although new ML/DL models for various applications and peptide properties are frequently published, the rate at which these models are adopted by the community is slow, which is mostly due to technical challenges.
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