查看更多>>摘要：The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: “Machine learning algorithms can be used to make predictions and identify patterns. Thus,machine learning algorithms have appli cability in planning and public policy applications. Machine learningalgorithms can be “black box” algorithms that are not easily observable. These algorithms therefore arenot susceptible to conventional auditing techniques (e.g., reviewi ng the algorithm’s source code).
查看更多>>摘要：The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: “Yard maintenance tasks are commonly performed u sing various tools and/or machinesthat are configured for the performance of co rresponding specific tasks. Certain tasks, like grass cutting,are typically per formed by lawn mowers. Lawn mowers themselves may have many different configurations to support the needs and budgets of consumers. Walk-behind lawn mowers are typically relativelycompact, have comparatively small engines and are relativel y inexpensive. Robotic mowers can be evensmaller, and operate autonomously. Mea nwhile, at the other end of the spectrum, riding lawn mowers,such as lawn tract ors, can be quite large.
查看更多>>摘要：The following quote was obtained by the news editors from the background informa tion supplied by theinventors: “The present disclosure relates generally to sto rage systems and inventory retrieval methods,and more particularly, to a storag e system and a mobile, manipulator robot for retrieving inventory itemsfrom the storage system.
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 biorxiv.org:“The transcriptional regulatory network (TRN) in Yarrowia lipolytica coordinates its cellular processes,including the response to various stimuli. The TRN has been difficult to study due to its complex nature. “In industrial-size fermenters, environments are often not homogenous, resulting in Yarrowia experiencingfluctuating conditions during a fermentation. Compared with homogenous laboratory conditions, thesefluctuations result in altered cel lular states and behaviours due to the action of the TRN. Here, a machinelearni ng approach was deployed to modularize the transcriptome to enable meaningful de scription ofits changing composition. To provide a sufficiently broad dataset, a wide range of relevant fermentationconditions (nutrient limitations, growth r ates, pH values, oxygen availability and CO2 stresses) were runand samples obta ined for RNA-Seq generation. We thus significantly increased the number of publi clyavailable transcriptomic dataset on Y. lipolytica W29.
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