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    Patent Application Titled 'Documentation Record Retrieval And Transaction Matchi ng' Published Online (USPTO 20240273127)

    189-192页
    查看更多>>摘要:Reporters obtained the following quote from the background information supplied by the inventors:“A server charged with monitoring and verifying transactions e xpends immense processing and networkbandwidth resources. Hundreds of thousands of transactions can be made in a single day, each transactioncarrying data tha t must be monitored and verified by the server. One way in which a transaction i s verifiedis through cross checking transaction data generated during the trans action against a record documentingthe completion of the transaction. As record s may come from many different sources or exist in manydifferent forms, it is c hallenging not only to retrieve records in an efficient way but also to accurate lymatch them to a corresponding transaction.”

    Patent Issued for Auditable authorship attribution with automatically applied au thorship tokens (USPTO 12061902)

    192-196页
    查看更多>>摘要:From the background information supplied by the inventors, news correspondents o btained the followingquote: “Traditionally, text editing software relied on hum an input to produce content. Thus, content couldbe assumed to have human author ship. Indeed, to label something as “human authored” was unnecessarybecause of course it was. Eventually, relatively basic or repetitive content could be gener ated with thehelp of simple software run at the creative direction of a human u ser (e.g., automatic creation of tables ofcontents based on headers). Only very recently has artificial intelligence grown in capability sufficient toallow fo r the generation of useful human-like content with little or no input from a hum an author. Now,content produced using text editing software can have a human au thor, an algorithmic author, or even acombination thereof. Given the quality of content produced by generative artificial intelligence, it can bedifficult, if not impossible, to separate human-generated content from artificially generated content.”

    Patent Issued for System and method for determining a purpose of a call (USPTO 1 2063326)

    196-198页
    查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors:“Many businesses interact with customers through contact ca ll centers in which agents communicate withcustomers using, for example, voice calls or video calls, although text messaging is sometimes also used.For exampl e, in a ticketing paradigm, tickets are generated that track a client support is sue from initialcustomer contact to completion of the call. For example, custom ers may interact with agents who answerquestions, address complaints, or resolv e support issues that customers have.

    Patent Application Titled 'Identifying Prompts Used For Training Of Inference Mo dels' Published Online (USPTO 20240273300)

    198-203页
    查看更多>>摘要:Reporters obtained the following quote from the background information supplied by the inventors: ““Technological Field“The disclosed embodiments generally relate to systems and methods for analyzing inference models.More particularly, the disclosed embodiments relate to system s and methods for analyzing inference modelsto identifying textual prompts used for training of the inference model.

    Patent Application Titled 'Systems, Methods, And Apparatuses For Activating A Decoy Resource Based On Duress Triggers In An Electronic Network' Published Online (USPTO 20240275815)

    203-207页
    查看更多>>摘要:Reporters obtained the following quote from the background information supplied by the inventors:“Managers of electronic networks allowing access to resources and the distribution of resources have a hardertime than ever determining when a misappropriation of those resources is attempted and how to preventthe misapp ropriation without alerting the misappropriator. For instance, a potential misap propriator mayuse force, coercion, and/or the like to influence a user associat ed with a resource account in order forthe potential misappropriator to gain ac cess to the resources. Further, and where the misappropriator isable to gain ac cess to the resources through the user associated with the resource account, man agersof the electronic networks allowing access to resources may need to furthe r prevent the actual resourcesfrom being distributed to the misappropriator. Th us, there exists a need for a system to activate a decoyresource based on dures s triggers being tracked in an efficient, accurate, and secure manner.

    When monkeys meet an ANYmal robot in the wild

    207-207页
    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:“Animal-robot interaction studies have been of increasing interest in research, but most of these studieshave involved robots interacting with insects, birds, and frogs in laboratory settings. To date, only twostudies used non-human prima tes and no behavioral study has tested the social integration of a robot ina gr oup of wild primates. To fill this gap, we studied the interactions between the quadruped ANYmalrobot and a group of 37 wild vervet monkeys in South Africa. Th e ANYmal robot is a remote-controlledsheep-sized robot with an open box of food on its back. We gradually introduced the robot to the monkeysfollowing five di fferent steps over 6 days for a total exposition time of about 10h. The monkeys habituatedto the robot very quickly with six individuals eating the food in the robot box from the second day.