Abstract: A computing system is provided including processing circuitry configured to implement a ranker module configured to jointly compute relevance scores of a set of candidate keywords to a query, and to generate a ranked list of candidate keywords based on the relevance scores. The ranker module includes a cross attention encoder configured to jointly compute the relevance scores by obtaining contextual embeddings for query tokens in the query and union of keyword tokens in the set of keywords, selectively pooling the contextual embeddings for the query tokens and the union of keyword tokens, inputting the selectively pooled contextual embeddings into a classifier that has been trained to predict a relevance score of the plurality of keywords to the query based on the contextual embeddings to output a relevance score for each query-keyword pair for the keywords in the set of candidate keywords, and outputting the ranked list of candidate keywords.

Abstract: The present disclosure relates to a powertrain for a work machine (50). The powertrain (100) comprises a first prime mover (10), a second prime mover (12), a set of first gears (14a, 14b), a set of second gears (16a, 16b), an engaging unit (24), and an actuator (26). The first prime mover (10) configured to engage a first shaft (18). The second prime mover (12) configured to engage a power take off (PTO) shaft (20). The first gears (14a, 14a) mounted on the first shaft (18) and the second gears (16a, 16b) mounted on the PTO shaft (20). The actuator (26) configured to be in communication with the engaging unit (24), and further configured to selectively displace the engaging unit (24) from the idling configuration to the engaging configuration to engage with one of the second gears (16a, 16b). Advantageously, the engaging unit (24) facilitates the coupling of the second prime mover (12) with the first prime mover (10); therefore the powertrain (100) provides the desired torque to meet the requirements.

Abstract: An information retrieval technique uses one or more machine-trained models to generate one or more metadata embeddings. The technique then combines a query embedding with the metadata embedding(s). In some cases, the technique performs this operation using a graph convolution operation. This yields an augmented embedding. The technique then uses the augmented embedding to retrieve at least one item. The augmented embedding lies in the same vector space as target-item embeddings associated with candidate target items. Otherwise, the vector spaces associated with the query embedding and metadata embedding(s) can be different. In some implementations, the technique use dense retrieval, which enables the technique to deliver output results in real time.

Abstract: A computing system obtains a novel keyword from a keyword database comprising a plurality of keywords. The computing system provides the novel keyword as input into an encoder and obtains a textual embedding of the novel keyword. The computing system identifies classifiers for similar seen keywords to the novel keyword. The novel keyword embedding and the classifiers are provided as input into a combiner model which outputs a textual embedding representative of the novel keyword and the seen keyword classifiers. The computing system compares the output of the combiner model to a textual embedding of query text. The computing system then identifies content based upon a computed similarity between the query text and the output of the combiner model. The computing system causes presentation of search results at a client computing device wherein the results include content selected based upon the computed similarity.

Abstract: The present disclosure relates to a powertrain for a work machine (50). The powertrain (100) comprises a first prime mover (10), a second prime mover (12), a set of first gears (14a, 14b), a set of second gears (16a, 16b), an engaging unit (24), and an actuator (26). The first prime mover (10) configured to engage a first shaft (18). The second prime mover (12) configured to engage a power take off (PTO) shaft (20). The first gears (14a, 14a) mounted on the first shaft (18) and the second gears (16a, 16b) mounted on the PTO shaft (20). The actuator (26) configured to be in communication with the engaging unit (24), and further configured to selectively displace the engaging unit (24) from the idling configuration to the engaging configuration to engage with one of the second gears (16a, 16b). Advantageously, the engaging unit (24) facilitates the coupling of the second prime mover (12) with the first prime mover (10); therefore the powertrain (100) provides the desired torque to meet the requirements.

Abstract: A computing system obtains a novel keyword from a keyword database comprising a plurality of keywords. The computing system provides the novel keyword as input into an encoder and obtains a textual embedding of the novel keyword. The computing system identifies classifiers for similar seen keywords to the novel keyword. The novel keyword embedding and the classifiers are provided as input into a combiner model which outputs a textual embedding representative of the novel keyword and the seen keyword classifiers. The computing system compares the output of the combiner model to a textual embedding of query text. The computing system then identifies content based upon a computed similarity between the query text and the output of the combiner model. The computing system causes presentation of search results at a client computing device wherein the results include content selected based upon the computed similarity.

Abstract: The present disclosure relates a power transmission system (100) for a work machine (50). The work machine is defined by drive wheels (14) for driving the work machine and a power take off (PTO) shaft (18) for driving a plurality of implements attached to the work machine. The system (100) comprises a first prime mover (10), a second prime mover (16), a first gear (20), a second gear (22), an engaging unit (24) and a switch. The engaging unit (24) is configured to be operatively mounted on the PTO shaft (18). The engaging unit (24) is configured to be displaced on the PTO shaft (18) from an idling configuration to an engaging configuration based on the satisfaction of a predetermined set of conditions. The system provides the compact assembly without any additional requirement of any external transmission assembly. Also, it makes the coupling response quick and provides smooth and noise free shifting and coupling of gears.

Abstract: A computing system is provided including processing circuitry configured to implement a ranker module configured to jointly compute relevance scores of a set of candidate keywords to a query, and to generate a ranked list of candidate keywords based on the relevance scores. The ranker module includes a cross attention encoder configured to jointly compute the relevance scores by obtaining contextual embeddings for query tokens in the query and union of keyword tokens in the set of keywords, selectively pooling the contextual embeddings for the query tokens and the union of keyword tokens, inputting the selectively pooled contextual embeddings into a classifier that has been trained to predict a relevance score of the plurality of keywords to the query based on the contextual embeddings to output a relevance score for each query-keyword pair for the keywords in the set of candidate keywords, and outputting the ranked list of candidate keywords.

Abstract: The disclosures herein generally relate to a vehicle and more particularly, to an all-terrain utility vehicle which can perform multiple operations, in varied terrain and soil conditions, with precision and guidance. An all-terrain utility vehicle mainly includes wheel track and wheel base adjusting system, a height adjusting system, a plurality of vertical axle assemblies, a steering system, an implement position adjusting system, a master controller unit and a plurality of wheel drive motors. All the vehicle functions being controlled and guided with the help of an electronic master control module which enables optional manual, remote and autonomous operations. The electronic master control module utilizes externally acquired location data and digital maps with soil and plant information for enabling precision field operations.

Abstract: An information retrieval technique uses one or more machine-trained models to generate one or more metadata embeddings. The technique then combines a query embedding with the metadata embedding(s). In some cases, the technique performs this operation using a graph convolution operation. This yields an augmented embedding. The technique then uses the augmented embedding to retrieve at least one item. The augmented embedding lies in the same vector space as target-item embeddings associated with candidate target items. Otherwise, the vector spaces associated with the query embedding and metadata embedding(s) can be different. In some implementations, the technique use dense retrieval, which enables the technique to deliver output results in real time.

Abstract: The present disclosure relates to systems and methods for providing personalized retrievals of items. The systems and methods create a user-specific morph operator for a user that captures learned user preferences for the user. The systems and methods use the user-specific morph operator to transform a generic embedding for a query into a personalized embedding for the query. The systems and method use the personalized embedding to retrieve items based on the user preferences to present in response to the query.

Abstract: Systems and methods are provided for learning classifiers for annotating a document with predicted labels under extreme classification where there are over a million labels. The learning includes receiving a joint graph including documents and labels as nodes. Multi-dimensional vector representations of a document (i.e., document representations) are generated based on graph convolution of the joint graph. Each document representation varies an extent of reliance on neighboring nodes to accommodate context. The document representations are feature-transformed using a residual layer. Per-label document representations are generated from the transformed document representations based on neighboring label attention. A classifier is trained for each of over a million labels based on joint learning using training data and the per-label document representation. The trained classifier performs highly efficiently as compared to other classifiers trained using disjoint graphs of documents and labels.

Abstract: The disclosures herein generally relate to a vehicle and more particularly, to an all-terrain utility vehicle which can perform multiple operations, in varied terrain and soil conditions, with precision and guidance. An all-terrain utility vehicle mainly includes wheel track and wheel base adjusting system, a height adjusting system, a plurality of vertical axle assemblies, a steering system, an implement position adjusting system, a master controller unit and a plurality of wheel drive motors. All the vehicle functions being controlled and guided with the help of an electronic master control module which enables optional manual, remote and autonomous operations. The electronic master control module utilizes externally acquired location data and digital maps with soil and plant information for enabling precision field operations.

Abstract: Embodiments described herein are directed to visual anomaly detection for content displayed via multi-display systems. For instance, computing devices may provide content for display by a respective display devices of a multi-display system. Each computing device provides images of the content, along with an identifier identifying the computing device as the source of the image, to a cloud-based storage system. A cloud-based visual anomaly detection system retrieves and analyzes the images from the storage system and determines whether any visual anomalies are present therein. The analysis is performed on a per-computing device basis. For instance, the system may apply a machine-learning based detection model to an image that is specific to the computing device that generated the image based on the identifier associated with the image. Upon detecting an anomaly, an automated action is performed to remediate the cause of the anomaly.

Abstract: Embodiments described herein are directed to visual anomaly detection for content displayed via multi-display systems. For instance, computing devices may provide content for display by a respective display devices of a multi-display system. Each computing device provides images of the content, along with an identifier identifying the computing device as the source of the image, to a cloud-based storage system. A cloud-based visual anomaly detection system retrieves and analyzes the images from the storage system and determines whether any visual anomalies are present therein. The analysis is performed on a per-computing device basis. For instance, the system may apply a machine-learning based detection model to an image that is specific to the computing device that generated the image based on the identifier associated with the image. Upon detecting an anomaly, an automated action is performed to remediate the cause of the anomaly.

Abstract: Methods useful for producing a solution of purified Fc peptide chains are disclosed. The methods employ protein A chromatography to separate high molecular weight, aggregated peptide chains comprising antibody Fc domains from lower molecular weight unaggregated peptide chains that also comprise antibody Fc domains. The solutions of purified Fc peptide chains obtained by the methods of the invention contain less than 5% aggregate and greater than 70% of the Fc peptide chains subjected to purification.

Abstract: An immunoliposome composition targeted to the alphaV-integrin subunit of integrin receptors comprised of ligand-targeted liposomes bearing at least one targeting-ligand derived from an antibody and having binding specificity for at least one integrin receptor comprising an alpha V subunit including ?v?1, ?v?3 ?v?5, ?v?6, or ?v?8 integrin cell receptors is described. The antibody-derived targeting ligand may be a Fab? fragment, a scFv, or the like. Binding of the immunoliposome to ?v-integrin expressing cells, preferably results in internalization of the immunoliposome for cytoplasmic delivery of a liposome-entrapped agent.

Abstract: An immunoliposome composition targeted to the alphaV-integrin subunit of integrin receptors comprised of ligand-targeted liposomes bearing at least one targeting-ligand derived from an antibody and having binding specificity for at least one integrin receptor comprising an alpha V subunit including ?v?1, ?v?3 ?v?5, ?v?6, or ?v?8 integrin cell receptors is described. The antibody-derived targeting ligand may be a Fab? fragment, a scFv, or the like. Binding of the immunoliposome to ?v-integrin expressing cells, preferably results in internalization of the immunoliposome for cytoplasmic delivery of a liposome-entrapped agent.

Abstract: A portable electronic device includes a base or first member, a flip or second member, and a hinge mechanism pivotally connecting the second member to the first member for pivotal movement between a closed position and an open position. The hinge mechanism includes a first semi-annular elongated recess and a semi-annular elongated concave member with a semi-annular elongated concave surface, the semi-annular elongated rotation member being pivotally and slidably disposed within the first semi-annular elongated recess, and the semi-annular elongated concave surface of the semi-annular elongated rotation member being exposed when the first member and the second member are in the closed position and being not exposed when the first member and the second member are in the open position.