查看更多>>摘要：News editors obtained the following quote from the background information suppli ed by the inventors:““This technology generally relates to methods and systems for using artificial I ntelligence techniquesto generate insights from public data for potential comme rcial exploitation in a speedy, large-scale, andsophisticated manner.
查看更多>>摘要：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 suppliedby the inventors: “Applicant has identified many technical challen ges and difficulties associated withmanufacturing devices, systems, and methods , including, but not limited to, manufacturing devices,systems, and methods rel ated to hydrogen.”
查看更多>>摘要：From the background information supplied by the inventors, news correspondents o btained the followingquote: “Artificial intelligence (AI) has had tremendous ad vancements in recent years. Chatbots built onlarge language models (LLMs), a co mputer algorithm that processes natural language inputs and predictsthe next wo rd based on what it has seen, have gained large popularity in a short amount of time.Nevertheless, it is still difficult to integrate existing Ais, however com plex, into an operating system (OS),due to the following difficulties.
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:“Engineering skeletal muscle tissue with precisely defined alignment is of signi ficant importance forapplications ranging from drug screening to biohybrid robo tics. Aligning 2D contractile muscle monolayers,which are compatible with high- content imaging and can be deployed in planar soft robots, typically requiremic ropatterned cues.
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:“Enzyme engineering is limited by the challenge of rapidly generating and using large datasets ofsequence-function relationships for predictive design.“To address this challenge, we developed a machine learning (ML)-guided platform that integratescell-free DNA assembly, cell-free gene expression, and function al assays to rapidly map fitness landscapesacross protein sequence space and op timize enzymes for multiple, distinct chemical reactions.
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