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 supplied bythe inventors: “At present, laser radar is widely used in field s such as industrial surveying, 3D modelingand autonomous driving. For example, in the application scenario of automatic following, a mobile devicetransmits a laser beam towards detected objects around and then receives light signals refl ected from the detected objects, which are processed to obtain the position info rmation of the detected objects aroundthe mobile device.
查看更多>>摘要：No assignee for this patent application has been made.News editors obtained the following quote from the background information suppli ed by the inventors:“Increasingly, systems and devices (e.g., autonomous vehicl es, such as autonomous and semi-autonomouscars, drones, mobile robots, mobile d evices, extended reality (XR) devices, and other suitable systemsor devices) in clude multiple sensors to gather information about the environment, as well as p rocessingsystems to process the information gathered, such as for route plannin g, navigation, collision avoidance,etc. One example of such a system is an Adva nced Driver Assistance System (ADAS) for a vehicle. Sensordata, such as images captured from one or more cameras, may be gathered, transformed, and analyzed todetect objects. One example of a transformed view or model is a semantically se gmented birds-eye-view(BEV) (e.g., a top-down view) of the environment.
查看更多>>摘要：No assignee for this patent application has been made.News editors obtained the following quote from the background information suppli ed by the inventors:“Deep learning has witnessed an explosion of architectures of continuously growing capability and capacity.Aided by the rapid gains in har dware, models today may easily overfit many images (e.g., million images)and be gin to demand hundreds of millions of, often publicly inaccessible, labeled imag es. This appetite fordata has been successfully addressed in natural language p rocessing (NLP) by self-supervised pre-training.Solutions, based on autoregress ive language modelling and masked autoencoding in prior approaches(e.g., genera tive pre-trained transformer (GPT), bidirectional encoder representations from t ransformers(BERT)), are conceptually simple. This may include removing a portio n of the data and learn to predictthe removed content. These methods now enable training of generalizable NLP models containing overone hundred billion parame ters.
查看更多>>摘要：No assignee for this patent application has been made.Reporters obtained the following quote from the background information supplied by the inventors:“An autonomous robot (for example, an intelligent lawn mower) may generally complete a specific worktask independently. However, in some case s, some work tasks are difficult for a single autonomous robotto independently complete. Therefore, how to implement a multi-machine cooperation operation betw eenautonomous robots to complete a work task that is difficult for a single aut onomous robot to independentlycomplete has become an urgent technical problem t o be resolved.”
查看更多>>摘要：This patent application is assigned to Parhelia Biosciences Corporation (Austin, Texas, United States).The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: ““Field of the Invention“The disclosure generally relates to histological apparatuses and methods. More specifically, the disclosurerelates to histological apparatuses, components, an d methods of use for processing histologicalsamples, including staining tissues with reagents.
查看更多>>摘要：The patent’s assignee for patent number 11931908 is Intrinsic Innovation LLC (Mo untain View, California,United States).News editors obtained the following quote from the background information suppli ed by the inventors:“This specification relates to robotics, and more particula rly to automatically measuring the calibration ofrobots and sensors assigned to perform a task in an operating environment.
查看更多>>摘要：The assignee for this patent, patent number 11935642, is KPN Innovations LLC (La kewood, Colorado,United States).Reporters obtained the following quote from the background information supplied by the inventors:“Current edible suggestion systems do not account for the stat us of a newborn. This leads to inefficiencyof a poor nutrition plan for the new born. This is further complicated by a lack of uniformity of nutritionalplans, which results in poor developmental growth.”
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:“Synthetic data is cast by its proponents as the cure for nearly all problems as sociated with machinelearning, from labour costs to privacy and bias.
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