Abstract: A method, a structure, and a computer system for digital twin management. The exemplary embodiments may include gathering data corresponding to one or more bodily tissues and generating one or more digital twin versions of the one or more bodily tissues. In addition, the exemplary embodiments may further include identifying a most appropriate digital twin version of the one or more digital twin versions based on a health and a compatibility of the one or more digital twin versions, and distributing the most appropriate digital twin version.

Abstract: A computer-implemented method, a computer system and a computer program product recognize relevant objects in images in real time. The method includes capturing an image of a surrounding environment using a device. The method also includes identifying an object and a shape of the object in the image of the surrounding environment using a computer vision algorithm. The method further includes determining that the object is a relevant object based on the shape of the object. Lastly, the method includes performing an operational action based on the relevant object.

Abstract: According to one embodiment, a method, computer system, and computer program product for human recognition through use of text entry is provided. The embodiment may include tracking user inputs. The embodiment may also include tracking time intervals between user inputs. The embodiment may further include storing input-interval sets, each input-interval set containing at least one input from the user inputs and at least one time interval from the time intervals between user inputs, wherein the at least one input corresponds to the at least one time interval. The embodiment may also include pretraining a foundation model based on the stored input-interval sets. The embodiment may further include training the foundation model for a particular task.

Abstract: A system may comprise a catheter including a wall having an inner surface defining a main lumen. The system may also comprise a device including an elongate flexible shaft configured to be slideably inserted within the catheter main lumen and a structure disposed around an outer surface of the elongate flexible shaft. The structure may be configured to engage with a plurality of flat surfaces comprising a portion of the inner surface to prevent rotation of the device within the main lumen.

Abstract: Described are techniques for corroborating anomalous behavior. The techniques include training devices included in an Internet of Things (IoT) mesh network to independently identify occurrences of anomalous behavior in a proximate physical environment. The techniques further include receiving event data from at least a portion of the devices in the IoT mesh network corresponding to a time window, where the event data reports occurrences of at least one type of anomalous behavior. The techniques further include corroborating the at least one type of anomalous behavior to determine that the occurrences of the at least one type of anomalous behavior indicate an anomalous event that meets a reporting threshold for providing notice of the anomalous event. The techniques further include generating a notification regarding the anomalous event.

Abstract: An intelligent weightlifting apparatus includes a frame including vertically oriented members and safety rails that are selectively moveable up and down relative to the vertically oriented members. The apparatus includes a position sensor that is configured to detect a position of a barbell. The apparatus includes a computer that is configured to control movement of the safety rails based on data from the position sensor such that a predefined distance is maintained between the safety rails and the barbell during a free weight exercise.

Abstract: A computer-implemented method, system, and/or computer program product controls a driving mode of a self-driving vehicle (SDV). One or more processors compare a control processor competence level of an on-board SDV control processor in controlling the SDV to a human driver competence level of a human driver in controlling the SDV while the SDV encounters a current roadway condition which is a result of current weather conditions of the roadway on which the SDV is currently traveling. One or more processors then selectively assign control of the SDV to the SDV control processor or to the human driver while the SDV encounters the current roadway condition based on which of the control processor competence level and the human driver competence level is relatively higher to one another.

Abstract: Augmenting a live broadcast of a sporting event includes receiving or generating a data stream of a live broadcast of a sporting event, generating commentary on the live broadcast in real time at a plurality of different levels of knowledge of the sport of the sporting event being broadcast, determining a knowledge level of the sport of a user, and providing the generated commentary at one of the plurality levels of knowledge of the sport to a user in real time based on the determined knowledge level of the sport of the user.

Abstract: According to one embodiment, a method, computer system, and computer program product for selective GPS navigation is provided. The embodiment may include determining a type of a vehicle operated by a user. The embodiment may also include, in response to determining a segment of a navigational route being traversed by the vehicle prohibits the type or is obstructed, presenting a notification to the user of the prohibition or the obstruction through a graphical user interface associated with a device dictating the navigational route. The embodiment may further include calculating a reroute that avoids the prohibition and/or the obstruction. The embodiment may also include presenting the reroute to the user.

Abstract: One or more computing devices, systems, and/or methods are provided. In an embodiment, a method includes hosting a first application within a first container of a container hosting environment. A first peak resource usage for the first application is acquired. A first resource request is determined for the first application based on the first peak resource usage. A first resource limit for the first application is determined based on the first peak resource usage. An entity in the container hosting environment is redeployed based on the first resource request and the first resource limit.

Abstract: A system and method that allows use of a product to review its users and generates a report summarizing how closely the product has been used according to its intended use. The product includes on-board and associated I-o-T sensors to differentiate between different users of the same product and provide data correlating usage how the product is used by each user. The system and method provide recommendations regarding how a typical behavior of each user can change during its use to optimize a product's its function, lifespan, efficiency. The report additionally serves to evaluate how effective each user is at rating the product by creating a feedback evaluation report and reliability score for each user, giving weight to basically all product reviews that the user may have submitted on other products. All customer reviews submitted online by a given user can be linked, for example by username, IP address, etc.

Abstract: A domain transformation system may determine a source ontology for a source domain of a first environment. The source domain relates to a process performed in the first environment. The process may be transformed from the source domain to a target domain of a second environment, such as a virtual environment. The domain transformation system may determine a first portion of a target ontology for the target domain. The domain transformation system may generate, using a machine learning technique, a first embedding of the source ontology and a second embedding of the target ontology. The domain transformation system may generate a joint embedding based on the first embedding and the second embedding domain transformation system and may determine a second portion of the target ontology, based on the joint embedding, using a transfer learning technique. The domain transformation system may refine the target ontology using a neuro-symbolic artificial intelligence technique.

Abstract: A medical tool may comprise a sheath and an elongate instrument. The sheath may comprise a tubular shaft member including a sheath channel and a guard member coupled to a distal portion of the tubular shaft member. The guard member may comprise a rigid distal section and a flexible proximal section that is more flexible than the rigid distal section. The elongate instrument may be sized for passage within the sheath channel. The elongate instrument may comprise a flexible tubular section and a rigid tip extending from a distal portion of the flexible tubular section.

Abstract: A system may comprise a sensing instrument including an elongate flexible member with a channel extending therein. The elongate flexible member may include a proximal portion, a distal portion, and a flexure portion between the distal and proximal portions. The sensing instrument may also include a flexure at the flexure portion of the elongate flexible member, a sensing element coupled at the distal portion of the elongate flexible member, and a flexure control apparatus extending within the elongate flexible member and configured to bend the flexure to change an orientation of the sensing element relative to the proximal portion of the elongate flexible member. The sensing instrument may also include an exit port in the proximal portion of the elongate flexible member.

Abstract: A method and related system selectively dims a proper subset of a plurality of tiles (DTPTs) that are a part of a contiguous dimmable transparent panel (DTP). Using a processor and in a real-time continuous feedback loop, the method comprises detecting, using a light source detector with an outward facing sensor, a location of an illumination source within a volume adjacent to an outside surface of the DTP. The method further comprises determining, using a head/eye detector with an inward facing sensor, a viewer's gaze direction within a volume adjacent to an inside surface of the DTP. The method further comprises determining a panel intersection point for a light ray extending from the illumination source location along the viewer's gaze direction. Finally, the method comprises selectively dimming the proper subset of DTPTs proximate the panel intersection point.

Abstract: A medical device comprises an elongate sheath comprising a distal portion and a proximal portion and defining a first lumen. The medical device further comprises an elongate instrument slidably disposed at least partially within the first lumen. The elongate instrument comprises a rigid distal section defining a second lumen. The medical device further comprises a first extension member coupled to a proximal end of the elongate instrument and a second extension member coupled to a proximal end of the elongate sheath. The second extension member is configured to at least partially receive the elongate instrument. The medical device further comprises a holding mechanism coupled to the second extension member. The holding mechanism includes a protrusion configured to maintain the elongate instrument in a rotationally fixed position relative to the distal portion of the elongate sheath.

Abstract: According to one embodiment, a method, computer system, and computer program product for wrong way driving detection is provided. The embodiment may include monitoring indications of wrong way traversal along a traversal path through one or more on-board, Internet of Things (IOT) sensors. The embodiment may also include determining whether wrong way traversal of the traversal path is occurring based on a risk assessment value satisfying a preconfigured threshold. The embodiment may further include, in response to determining the risk assessment value satisfies the preconfigured threshold, performing a corrective action to ameliorate the wrong way traversal.

Abstract: A computer-implemented method, system, and/or computer program product controls a driving mode of a self-driving vehicle (SDV). One or more processors compare a control processor competence level of an on-board SDV control processor in controlling the SDV to a human driver competence level of a human driver in controlling the SDV while the SDV encounters a current roadway condition which is a result of current weather conditions of the roadway on which the SDV is currently traveling. One or more processors then selectively assign control of the SDV to the SDV control processor or to the human driver while the SDV encounters the current roadway condition based on which of the control processor competence level and the human driver competence level is relatively higher to one another.