查看更多>>摘要：News editors obtained the following quote from the background information suppli ed by the inventors: “BACKGROUND ART “In recent years, in robot arms for industrial use and the like, it is desired t o reduce the size of a device so that the device can be used even in a restricte d working space, and in particular, to reduce the size of a joint unit. “Patent Literature 1 discloses a hollow driving module that includes a hollow mo tor, a decelerator, a torque transmission unit, and the like, and is usable for a joint of an industrial robot.” As a supplement to the background information on this patent, NewsRx corresponde nts also obtained the inventors' summary information for this patent: “Technical Problem “Incidentally, in this type of joint unit, an angle detection mechanism that det ects a rotation angle may be provided on an input/output shaft, or an input-side or an output-side of the decelerator to perform a desired control and grasp a s tate. For example, the hollow driving module disclosed in Patent Literature 1 is provided with a first encoder that detects a rotation angle of the hollow motor, and a second encoder that detects a rotation angle of an output side of the de celerator.
查看更多>>摘要：The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “Modern inventory systems, such as those in mail order warehouses, supply chain distribution centers, airport luggage systems, a nd custom-order manufacturing facilities, face significant challenges in respond ing to requests for inventory items. As inventory systems grow, the challenges of simultaneously completing a large number of packing, storing, and other invent ory-related tasks become non-trivial. In inventory systems tasked with respondin g to large numbers of diverse inventory requests, inefficient utilization of sys tem resources, including space, equipment, and manpower, can result in lower thr oughput, unacceptably long response times, an ever-increasing backlog of unfinis hed tasks, and, in general, poor system performance. For example, sometimes exis ting systems may fail to properly detect a particular type of package, which may delay processing times for packages of the particular type. Also, updating these systems to detect new package types may also be time and/or resource intensive .”
查看更多>>摘要：The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “Painting can be a labor-intensive, costly proce ss. Additionally, traditional painting techniques often result in excessive wast e (e.g., in terms of paint consumption, brushes, etc.) or result in the release of potentially hazardous chemicals into the air (e.g., via paint spraying). Acco rdingly, there is a need for improved systems and methods that address these and other needs.”
查看更多>>摘要：From the background information supplied by the inventors, news correspondents o btained the following quote: “Image-based overlay metrology may typically includ e determining relative offsets between two or more layers on a sample based on r elative imaged positions of features of an overlay target in the different layer s of interest. The accuracy of the overlay measurement may thus be sensitive to image quality associated with imaged features on each sample layer, which may va ry based on factors such as a depth of field or location of the plane (e.g., foc al position) with respect to the sample. Accordingly, overlay metrology procedur es typically include tradeoffs between image quality at particular sample layers and throughput. For example, it may be the case that overlay measurements based on separate images of each sample layer may provide the highest quality images of overlay target features. However, capturing multiple images per target may re duce throughput. By way of another example, overlay measurements based on a sing le image capturing features on multiple layers may provide relatively higher thr oughput, but may require reference measurements based on external tools or full- wafer measurements to provide a desired measurement accuracy. Therefore, it woul d be desirable to provide a system and method for curing defects such as those identified above.”
查看更多>>摘要：The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “Document generation has historically been perfo rmed by humans writing into a text editor. The first automation advances focused on the repetitive tasks of the document generation process, such as page number ing, formatting and figure labelling using macros. For more frequently created d ocuments, such as emails or letters, automation advances were enabled by the dev elopment of algorithmic scripts that can complete a pre-written document templat e with the correct terms collected from a user or a database. The most recent ad vances in document generation have come from training machine learning models to generate text for a specific theme or subject, such as novels, summaries or poetry.
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 os f.io: “The European Union and some of its institutions have taken significant steps to address the challenges posed by the development and use of Artificial Intellige nce (AI) in various contexts. The ubiquity of AI applications in everyday life, affecting both citizens and professionals, has made AI a common topic of discussion.
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 bi orxiv.org: “Understanding the temporal evolution of cells poses a significant challenge in developmental biology. “This study embarks on a comparative analysis of various machine-learning techniques to classify sequences of cell colony images, thereby aiming to capture dyna mic transitions of cellular states. Utilizing transfer learning with advanced cl assification networks, we achieved high accuracy in single-timestamp image categ orization.
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