查看更多>>摘要：Reporters obtained the following quote from the background information supplied by the inventors:“The present disclosure generally relates to intralogistics sy stem and method for automatically pickingarticles, in particular flat-pack arti cles. Preferably, the picking is performed in a fully automatic manner.Picking sources and targets are represented by pallet-like load carriers.“Many different automatic picking systems exist which are used for different pur poses and boundaryconditions.”
查看更多>>摘要：News editors obtained the following quote from the background information suppli ed by the inventors:“The invention generally relates to automated, robotic and other object processing systems such as sortationsystems and relates in particu lar to automated and robotic systems intended for use in environmentsrequiring, for example, that a variety of objects (e.g., parcels, packages, and articles, etc.) be processedand distributed to several output destinations.
查看更多>>摘要：Reporters obtained the following quote from the background information supplied by the inventors:“There is an increasing trend towards automated manufacturing processes, for instance the automateddrilling of components using robots to man ufacture the components more efficiently. Prior to drilling the components, it i s important to ensure that the robot is operated on a program that positions the drillingtool at an accurate location. Once the accuracy of the program has bee n confirmed, the robot can beused on multiple components without rechecking its accuracy.
查看更多>>摘要：News editors obtained the following quote from the background information suppli ed by the inventors:“Generative machine learning models are trained on training data to generate digital content (e.g., digitalimages) based on natural langua ge text inputs. Once trained, a generative machine learning model receivesa tex t-based input such as “sun setting over the ocean,” and the model generates digi tal content basedon the input. For instance, the generative machine learning mo del generates a digital image depicting asunset over a body of water based on t he natural language input.”
查看更多>>摘要：News editors obtained the following quote from the background information suppli ed by the inventors:“During supply chain planning, a supply chain plan may be g enerated by solving a supply chain planningproblem modeled as a single- or mult i-objective linear programming problem (LPP). For example, a supplychain planne r may model a master production problem as a multi-objective hierarchical LPP. T he supplychain planner may update and re-solve the supply chain planning proble m from time-to-time when changesoccur in the supply chain. However, even when t here are few changes to the supply chain and these changesare known, re-solving the supply chain planning problem may take as much time to solve as the previous supply chain planning problem. This inefficiency in re-solving a previously-so lved supply chain problemwhen there are only a few known changes to a supply ch ain is undesirable.”
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 Art“The disclosure relates to the field of computer-based communication systems, an d more particularlyto the field of ecommerce and security.“Discussion of the State of the Art“A common problem in the industry of customer engagement and retention is the ch allenge of reengagingusers who have shown initial interest in a product, servi ce, or app but have not been activefor a while. This phenomenon is often referr ed to as “user churn” or “user attrition.” It’s a concern forbusinesses because acquiring new customers can be more costly than retaining existing ones. Theref ore,finding effective ways to re-engage inactive users and bring them back into the fold is crucial for maintaininga healthy customer base.
查看更多>>摘要：The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “Systems may determine whether a vehicle is insi de a geofence. For example, a geofencemay be a particular number of miles from a physical location.“However, this may not be an accurate method to determine if the vehicle is bein g driven to thephysical location. For example, the vehicle may be near the phys ical location, but the vehicle may stillend up being driven away from the physi cal location without stopping at the physical location.”
查看更多>>摘要：Reporters obtained the following quote from the background information supplied by the inventors:“Planning systems in autonomous and semi-autonomous vehicles d etermine actions for a vehicle to takein an operating environment. Actions for a vehicle may be determined based in part on avoiding objectspresent in the env ironment. For example, an action may be generated to go around a double-parked vehicle, to change a lane to avoid another vehicle in the road, or the like. The planning systems may performa series of simulations to determine an effect of e ach detected object on a potential action for the vehicle.However, in environme nts with a large number of objects, performing simulations on each detected object may be computationally costly and, in some cases, impossible with onboard com puting capabilities.”
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 me drxiv.org:“Machine learning (ML) holds great promise to support, improve, and automatize c linical decisionmakingin hospitals. Data protection regulations, however, hind er abundantly available routine data frombeing shared across sites for model tr aining. Generative models can overcome this limitation by learning tosynthesize hospital data from a target population while ensuring data privacy. Clinical ti me series acquiredduring intensive care are, however, difficult to model using established techniques, especially due to unevensampling intervals.
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: “We are launching a machine learning (ML) competition focused on particle pick- ing in cryo-electrontomography (cryoET) data, a crucial task in structural biol ogy.
NETL
NSTL