Abstract: A method for controlling an artificial intelligence (AI) device can include obtaining, via a processor in the AI device, an AI model trained on a dataset that includes a majority class and at least one minority class, generating, via the processor, at least one evaluation metric for the AI model based multiplying a first score for positive samples of a target class within the dataset by a number of negative samples of the target class within the dataset and multiplying a second score for the negative samples within the dataset by a number of the positive samples, and outputting, via an output unit in the AI device, the at least one evaluation metric. Also, the method can further include adding the trained AI model to a pool of trained AI models and selecting a best AI model from the pool for deployment based on the at least one evaluation metric.

Abstract: A method for controlling an artificial intelligence (AI) device can include obtaining, via a processor in the AI device, a knowledge graph, training, via the processor, a link prediction model on the knowledge graph to generate a trained link prediction model, extracting, via the processor, logic rules from the trained link prediction model, generating, via the processor, at least one evaluation metric based on the logic rules, and generating, via the processor, evaluation results based on comparing the at least one evaluation metric to a predetermined criteria, and outputting, via an output unit in the AI device, the evaluation results. Also, the method can include saving the trained link prediction model in a memory of the AI device for deployment or transmitting the trained link prediction model to an external device for deployment, based on the evaluation results.

Abstract: In an example, a computer-implemented method for natural language query translation comprises: receiving, by one or more processors, a natural language query; processing, by the one or more processors, the natural language query to identify an intent and a variable of the natural language query; converting, by the one or more processors, the identified variables into low-level variables; combining the identified intent and the low level variables to form a database expression; querying, by the one or more processors, a database storing flight information, using the database expression; and creating, by the one or more processors, at least one graphical representation based on a result of the querying of the database.

Abstract: According to at least one embodiment, an artificial intelligence apparatus includes at least one audio sensor configured to capture audio data in an environment, and at least one processor. The at least one processor is configured to: detect an utterance in the audio data; determine an inability to comprehend the utterance based on information being missing in the utterance; and acquire the missing information. The at least processor is further configured to acquire the missing information by at least: acquiring the missing information from at least one smart device of a plurality of smart devices located in the environment; or acquiring the missing information from a knowledge base of the artificial intelligence apparatus. The at least one processor is further configured to complete comprehension of the utterance based on the acquired missing information.

Abstract: A method is provided that includes receiving, by a first device from a second device, a freight carrier for shipping a product and an account number for the freight carrier, validating, by the first device, the account number by communicating with a third device, and allowing, by the first device, completion of checkout on the second device in response to successfully validating the account number.

Abstract: Systems, methods, and computer-readable media for an adaptive gossip protocol. A node in a cluster can detect a gossip protocol synchronization triggering event which can include an indication that the node has received data from a second node via a gossip protocol, an update to data maintained by nodes in the cluster, and/or an operation. In response to the triggering event, the node can determine a dynamic gossip interval for disseminating data from the node to other nodes via a gossip protocol, the dynamic gossip interval being based on a synchronization state associated with the cluster and/or one or more gossip protocol events associated with the cluster. Next, the node can select a third node in the cluster for disseminating the data from the node to the third node. The node can then transmit the data to the third node via the gossip protocol based on the dynamic gossip interval.

Abstract: In an example, a computer-implemented method for natural language query translation comprises: receiving, by one or more processors, a natural language query; processing, by the one or more processors, the natural language query to identify an intent and a variable of the natural language query; converting, by the one or more processors, the identified variables into low-level variables; combining the identified intent and the low level variables to form a database expression; querying, by the one or more processors, a database storing flight information, using the database expression; and creating, by the one or more processors, at least one graphical representation based on a result of the querying of the database.

Abstract: Systems, methods, and computer-readable media for an adaptive gossip protocol. A node in a cluster can detect a gossip protocol synchronization triggering event which can include an indication that the node has received data from a second node via a gossip protocol, an update to data maintained by nodes in the cluster, and/or an operation. In response to the triggering event, the node can determine a dynamic gossip interval for disseminating data from the node to other nodes via a gossip protocol, the dynamic gossip interval being based on a synchronization state associated with the cluster and/or one or more gossip protocol events associated with the cluster. Next, the node can select a third node in the cluster for disseminating the data from the node to the third node. The node can then transmit the data to the third node via the gossip protocol based on the dynamic gossip interval.

Abstract: Systems, methods, and computer-readable media for an adaptive gossip protocol. A node in a cluster can detect a gossip protocol synchronization triggering event which can include an indication that the node has received data from a second node via a gossip protocol, an update to data maintained by nodes in the cluster, and/or an operation. In response to the triggering event, the node can determine a dynamic gossip interval for disseminating data from the node to other nodes via a gossip protocol, the dynamic gossip interval being based on a synchronization state associated with the cluster and/or one or more gossip protocol events associated with the cluster. Next, the node can select a third node in the cluster for disseminating the data from the node to the third node. The node can then transmit the data to the third node via the gossip protocol based on the dynamic gossip interval.

Abstract: Disclosed are systems, methods, and computer-readable storage media for load balance resources amongst computing nodes. Various embodiments of the present technology can be used to, prior to assigning a first data shard included in a first cluster of data shards as a leader of the first cluster of data shards, determine whether a first computing node storing the first data shard also stores a second data shard designated as a leader of a second cluster of data shards, yielding a determination, and when the determination indicates that the first computing node stores the second data shard designated as the leader of the second cluster of data shards, designate the first data shard as non-electable to be the leader of the first cluster of data shards and electing an alternate data shard included in the first cluster of data shards as the leader of the first cluster of data shards.

Abstract: A forkless synchronizer arrangement selectively couples one or more gears to a drive shaft that is rotatable about a rotation axis. A shift collar, rotated by the drive shaft, is configured to disengage from a first of the gears when in a first neutral axial position and to engage the first gear when in a first engaged axial position to transmit rotational input from the drive shaft to the first gear. A rail is arranged in parallel with the rotation axis. A rail arm has an end fixedly coupled to the rail and another end coupled to the shift collar to permit relative rotation and to transmit axial shifting movement to the rail in response to axial movement of the shift collar between the first engaged and neutral axial positions. A sensor proximate the rail senses an axial position of the rail.

Abstract: Systems, methods, and computer-readable media for an adaptive gossip protocol. A node in a cluster can detect a gossip protocol synchronization triggering event which can include an indication that the node has received data from a second node via a gossip protocol, an update to data maintained by nodes in the cluster, and/or an operation. In response to the triggering event, the node can determine a dynamic gossip interval for disseminating data from the node to other nodes via a gossip protocol, the dynamic gossip interval being based on a synchronization state associated with the cluster and/or one or more gossip protocol events associated with the cluster. Next, the node can select a third node in the cluster for disseminating the data from the node to the third node. The node can then transmit the data to the third node via the gossip protocol based on the dynamic gossip interval.

Abstract: Disclosed are systems, methods, and computer-readable storage media for load balance resources amongst computing nodes. Various embodiments of the present technology can be used to, prior to assigning a first data shard included in a first cluster of data shards as a leader of the first cluster of data shards, determine whether a first computing node storing the first data shard also stores a second data shard designated as a leader of a second cluster of data shards, yielding a determination, and when the determination indicates that the first computing node stores the second data shard designated as the leader of the second cluster of data shards, designate the first data shard as non-electable to be the leader of the first cluster of data shards and electing an alternate data shard included in the first cluster of data shards as the leader of the first cluster of data shards.