查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – According to news reporting originatin g from Washington, D.C., by NewsRx journalists,a patent application by the inve ntors BAO, Yinhang (Beijing, CN); LV, Junlong (Beijing, CN); PAN, Jinfeng(Beiji ng, CN), filed on March 22, 2022, was made available online on November 7, 2024.
查看更多>>摘要：From the background information supplied by the inventors, news correspondents o btained the followingquote:“(a) Field“The present disclosure relates to an apparatus and method that predicts metadat a by applying amachine learning model to a medical image and processes the medi cal image using the predicted metadata.“(b) Description of the Related Art“According to digital imaging and communications and medicine (DICOM), being a d ata standard formedical images, DICOM data largely contain two types of informa tion. One is a photographed originalmedical image (raw pixel array), and the ot her is metadata recorded on a DICOM header.
查看更多>>摘要：News editors obtained the following quote from the background information suppli ed by the inventors:“Traditional warehouse operations include the handling and storage of products in order to receive inventory,store inventory, collect inve ntory from different containers to prepare orders, and ship orders to customers.In systems of vertical or stacked storage, goods are typically stored in boxes, which can be stacked. It isdesirable to access a target box stored in a stack using a minimum number of actions and in a minimumamount of time.
查看更多>>摘要：News editors obtained the following quote from the background information suppli ed by the inventors:“There are two kinds of programming framework commonly used in machine learning (ML): a) old-schoolgraph-based frameworks like TensorFlow 1, and b) eager execution frameworks like PyTorch or TensorFlow2. Eager executi on steps through the source program sequentially and dispatches each operation f rom thesource program to be executed immediately, as-and-when they are encounte red. A graph-based approachon the other hand compiles the entire program in adv ance based on a graph representing relationshipsbetween the various variables a nd operations within the source program, and then only once compiledexecutes th e compiled program. Eager and graph-based programming frameworks can also be ext endedto other applications, not just machine learning.
查看更多>>摘要：Reporters obtained the following quote from the background information supplied by the inventors: ““Field of the Invention“The present invention relates to a technique for performing resolution enhancem ent on an imageusing a machine learning model.“Description of the Related Art“United States Patent Application Publication No. 2018/0075581 discusses a metho d for performingresolution enhancement on an image using a machine learning mod el referred to as a generative adversarialnetwork (GAN). The method is referred to as a super resolution GAN (SRGAN). The SRGAN performslearning using a gener ator which generates a high resolution image and a discriminator which discriminates whether an input image is an image generated by the generator or an actual high resolution image.The actual high resolution image means a high resolution image which is not generated by the generator.
查看更多>>摘要：News editors obtained the following quote from the background information suppli ed by the inventors:“The use of augmented and/or virtual reality computing envi ronments (collectively referred to herein as“virtual reality computing environm ents) have become increasing more prevalent. By way of example,the Metaverse is a hypothetical iteration of the Internet as a single, universal and immersive v irtualreality computing environment that is facilitated by the use of virtual r eality and augmented realityheadsets. Thus, the Metaverse provides the ability for a user to associate with an avatar (i.e., a virtualrepresentation/object of the user) and for the avatar to conduct resource exchange events within a virtual environment. While the resource exchange event is initiated entirely within t he virtual environment,it results in an actual exchange of resources between th e user and the resource-providing entity. In thisregard, a user presents digita l resources in exchange for physical goods and/or services. However, resourceex change events conducted in virtual computing environments can readily be associa ted with wrongfulactivities.
查看更多>>摘要：The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: “Many types of construction equipment, and remot e-controlled demolition machines inparticular, comprise moving members that may cause hazard to nearby persons, e.g., if they suddenly movein an unexpected ma nner.
查看更多>>摘要：News editors obtained the following quote from the background information suppli ed by the inventors:“The problem addressed by the invention is that of providin g a printing system for forming a strand ofbuilding material for 3-D printing o f a structural part, which printing system has improved characteristics.Moreove r, the problem addressed by the invention is that of providing the use of such a printing systemfor forming a strand of building material for 3-D printing of a structural part.
查看更多>>摘要：Reporters obtained the following quote from the background information supplied by the inventors:“Servo-hydraulic material testing machines (also sometimes kno wn as structural tests machines) are usedto test the physical characteristics o f a material sample by utilising a hydraulic actuator to apply a testforce to t he material sample. The hydraulic actuator is driven by a hydraulic power unit w hich is typicallyarranged to provide pressurised hydraulic fluid to the materia l testing machine.
查看更多>>摘要：The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: ““Field of the Various Embodiments“Embodiments of the present disclosure relate generally to machine learning, art ificial intelligence(AI), and machine learning, and, more specifically, to tech niques for monitoring machine learning modelperformance.”
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