首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    Patent Issued for Systems, methods, computing platforms, and storage media for d irecting and controlling an autonomous inventory management system in a retail c ontrol territory (USPTO 12014321)

    171-175页
    查看更多>>摘要:Reporters obtained the following quote from the background information supplied by the inventors:“The field of automation is rapidly expanding into non-traditi onal functions, for instance, within theinventory management systems industry. Automation has become common in numerous applications,including online retail ( e.g., warehousing, manufacturing, etc.) and airport luggage handling. In someca ses, automation creates distinct advantages including higher uptime and lower re volving costs overthe traditional labor force. It is estimated that automation will continue to become more prevalent inperforming traditional labor tasks in these, and additional industries in the future.

    'Autonomous Signal Boosting Robotic Device' in Patent Application Approval Proce ss (USPTO 20240201685)

    176-178页
    查看更多>>摘要:The following quote was obtained by the news editors from the background informa tion supplied by theinventors: “Mobile robotic devices are becoming increasingl y common in consumer homes and commercialspaces. In several instances, mobile r obotic devices are beneficial for the convenience they provide. Forexample, aut onomous mobile robotic devices that perform specific tasks such as vacuuming, mo pping,mowing, and the like, provide convenience to a user as the tasks are comp leted by the mobile roboticdevice without or with minimal human intervention.

    A combinatorially complete epistatic fitness landscape in an enzyme active site

    178-178页
    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:“Protein engineering often targets binding pockets or active sites which are enr iched in epistasis–non-additive interactions between amino acid substitutions– and where the combined effects of multiplesingle substitutions are difficult to predict. Few existing sequence-fitness datasets capture epistasis at largescal e, especially for enzyme catalysis, limiting the development and assessment of m odel-guided enzymeengineering approaches.