查看更多>>摘要：News editors obtained the following quote from the background information suppli ed by the inventors:“Minutes is a very important text information summary and e xtraction mode. When minutes extractionis carried out, it is required that a te xt content is summarized as much as possible, and a length is asshort as possib le. Based on this, a current mainstream minutes extraction mode is to extract ba sed onthe content. When it is applied to a conference scene, it means preformin g minutes extraction based oncontent information of a conference text, to obtai n conference minutes. The conference minutes can helpconference related personn el to quickly understand or review the conference content. However, conferencei nformation amount included in the conference minutes obtained by the content-bas ed conference minutesextraction mode is limited.”
查看更多>>摘要：From the background information supplied by the inventors, news correspondents o btained the followingquote: “BACKGROUND ART“Conventionally, control devices, which accommodate therein a heating element, s uch as a servoamplifier for controlling a servo motor, are known. For example, Patent Document 1 discloses a controllerfor an industrial robot device. The con troller is provided with a cabinet with drawers. A drive providedwith a power s ource unit is disposed inside the drawer. The controller includes a ventilation duct whichpenetrates inside of the drawer, and a fan which forcibly generates a flow of air inside the ventilation duct.”
查看更多>>摘要：News editors obtained the following quote from the background information suppli ed by the inventors:“The present disclosure relates to training for artificial intelligence and, more particularly, to allocation oftraining processes for eff icient use of graphic processing unit (GPU) resources.“As machine learning applications have been increasing in popularity, more and m ore resources areutilized for training ML applications. Such training typically utilizes large data sets and is thus resourceintensive. Graphics processing un its (GPUs) can have massive computing resources and are thus usefulfor ML train ing. Effective allocation and distribution of training is desirable to optimize GPU utilizationand increase efficiency.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – According to news reporting based on a preprint a bstract, our journalists obtained the followingquote sourced from osf.io:“Image-generating AI is among the most popular generative AI applications, likel y changing the visualmediated environments humans are exposed to on a mass scal e. Prior work found that AI can be biasedagainst women and minorities (algorith mic bias), whereas humans attribute rather high objectivity to AI.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – According to news reporting based on a preprint abstract, our journalists obtained thefollowing quote sourced from bi orxiv.org:“Computational models have made significant progress in predicting the effect of protein variants.“However, deciphering numerous variants of unknown significance (VUS) located wi thin intrinsicallydisordered regions (IDRs) remains challenging. To address thi s issue, we introduced liquid-liquid phaseseparation (LLPS), which is tightly l inked to IDRs, into the analysis of missense variants. LLPS is vital formultipl e physiological processes. By leveraging missense variants that alter phase sepa ration propensity,we developed an innovative machine-learning approach called P SMutPred to predict the impact of missensemutations on phase separation. PSMutP red shows robust performance in predicting missense variants thataffect natural phase separation.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – According to news reporting based on a preprint abstract, our journalists obtained thefollowing quote sourced from os f.io:“The Antarctic Ice Sheet holds incredible amounts of water, and any changes to i t are capable ofseverely altering the Earth’s climate.“This study examines the impacts of global warming on Antarctic Ice Cap elevatio n in the AntarcticPeninsula, and uses supervised machine learning techniques to forecast the predictions.
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