查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A patent application by the inventor N akayama, Kazutaka (Minamitsurugun, Yamanashi-ken, JP), filed on December 15, 20 21, was made available online on September 26, 2024, according to news reporting originating from Washington, D.C., by NewsRx correspondents. This patent application has not been assigned to a company or institution. The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “An industrial robot, in particular an articulat ed robot, includes at least one joint at which two links are connected with each other. The joint is provided with an actuator for driving the links. The joint requires at least a power line and signal line for driving the actuator. Further , a signal line, air line, high speed communication signal line, etc. for drivin g an end effector provided at the front end of the industrial robot are necessar y. In this Description, these power line, air line, various signal lines, etc. w ill be referred to all together as an “umbilical member”.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A patent by the inventors Curran, Finl ay (Cambridgeshire, GB), Heywood, Robert (Cambridgeshire, GB), Roscoe, Harry (Ca mbridgeshire, GB), Tunstall-Pedoe, William (Cambridgeshire, GB), filed on Decemb er 25, 2022, was published online on September 24, 2024, according to news repor ting originating from Alexandria, Virginia, by NewsRx correspondents. Patent number 12099811 is assigned to Unlikely Artificial Intelligence Limited ( Cambridgeshire, United Kingdom). The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “1. Field of the Invention “The field of the invention relates to a computer implemented method for the aut omated analysis or use of data; one implementation is a voice assistant that is able to analyse, interpret and act on natural language spoken and text inputs.
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:“Predicting protein-DNA binding sites is a challenging computational problem tha t has led to the development of advanced algorithms and techniques in the field of bioinformatics. Identifying the specific residues where proteins bind to DNA is of paramount importance, as it enables the modeling of their interactions and facilitates downstream studies. Nevertheless, the development of accurate and e fficient computational methods for this task remains a persistent challenge. Acc urate prediction of protein-DNA binding sites has far-reaching implications for understanding molecular mechanisms, disease processes, drug discovery, and synth etic biology applications. It helps bridge the gap between genomics and function al biology, enabling researchers to uncover the intricacies of cellular processe s and advance our knowledge of the biological world. The method used to predict DNA binding residues in this study is a potent combination of conventional bioin formatics tools, protein language models, and cutting-edge machine learning and deep learning classifiers. On a dataset of protein-DNA binding sites, our model is meticulously trained, and it is then rigorously examined using several experi ments.
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