查看更多>>摘要:Reporters obtained the following quote from the background information supplied by the inventors:“A platform (e.g., a content sharing platform) can transmit (e .g., stream) media items to client devicesconnected to the platform via a netwo rk. A client device may submit a request to the platform to transmita certain m edia item.”
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 generatin g content usinga generative model. More particularly, the disclosed embodiments relate to systems and methods forgenerating content using a generative model w ithout relying on selected training examples.“Background Information“Vast number of media contents, such as audios, images and videos, are created, edited and viewed bydifferent entities. Nowadays, many media contents are gener ated and/or modified to better suit differentcriteria. However, achieving high quality results when generating and/or modifying media contents stillrequires s ignificant efforts. Moreover, selecting the optimal modification for different p urposes is stillchallenging. This is especially true when generating and/or mod ifying a large number of media contentitems. Therefore, automating the generati on and/or modification of media contents is desired.
查看更多>>摘要:Reporters obtained the following quote from the background information supplied by the inventors:“Digital content (e.g., images, audio, video, and/or the like) can be manipulated with artificial intelligencebasedsolutions. For example, a n image (e.g., a company’s design sketches) can be manipulated byartificial int elligence (e.g., a deepfake model) to generate substantially similar images (e.g ., designs)that infringe the company’s design sketches. Audio can be manipulate d by artificial intelligence for voiceimpersonation. Moreover, images and video s can be combined and superimposed onto source images orvideos using artificial intelligence.”
查看更多>>摘要:News editors obtained the following quote from the background information suppli ed by the inventors:“BACKGROUND ART“Conventionally, a self-propelled robot for binding reinforcing bars is known, w hich includes a wheelunit for traveling on a plurality of reinforcing bars laid in a grid pattern on an operation surface, a frameunit on which the wheel unit is mounted, a reinforcing bar binding machine holding unit on which a reinforcing bar binding machine is detachably attached, a drive unit for driving up and d own the reinforcing barbinding machine holding unit, and a control unit, and lo wers the reinforcing bar binding machine mountedon the reinforcing bar binding machine holding unit to bind the intersections of reinforcing bars with bindingwire (see the patent literature 1).”
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 generated audiocontents. More particularly, the disclosed embodiments relate t o systems and methods for analyzinggenerated audio contents to attribute the ge nerated audio contents to training examples.
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:“Predicting prokaryotic phenotypes - observable traits that govern functionality , adaptability, andinteractions - holds significant potential for fields such a s biotechnology, environmental sciences, andevolutionary biology.
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:“Repeated measurement of behavior is a process central to behavior analysis, but its implementationoccasionally requires hiring observers dedicated exclusively to data collection, which may increase the costof providing services and condu cting research. One potential solution to reduce resources necessary toconduct behavioral observations involves machine learning.