Abstract: A method, apparatus, non-transitory computer readable medium, and system for document retrieval include obtaining a query and a document. A prompt generator generates a prompt for a reasoning model based on the query and the document. The reasoning model generates a reasoning result based on the prompt. In some cases, the reasoning result indicates that the document answers the query. A machine learning model provides the document in response to the query based on the reasoning result.

Abstract: Methods, systems, and computer programs are presented for the management of lane-departure (LD) events. One method includes training a classifier for LD events and loading the classifier into a vehicle. LD events are detected based on outward images using the classifier, while the turn signal is monitored to prevent false triggers. If an LD event is detected, rules are checked for alerting the driver and deciding whether to alert the driver or not. Subsequently, additional rules are checked for reporting the event and deciding whether to report the event to a Behavior Monitoring System (BMS) or to discard it. The method also includes a solid line departure model that identifies crossing dashed, solid-white, and solid-yellow lanes, delaying alerts and event generation until a significant portion of the vehicle crosses over the lane. The model also outputs a confidence score reflecting the amount of vehicle deviation from the driving lane.

Abstract: For connection establishment, a system allocates memory that will be occupied by the data and handshake sub-protocol infrastructure that facilitates establishing a TLS connection. After connection establishment, the system allocates memory space for the data and record sub-protocol infrastructure that facilitates the asynchronous communication of application traffic. The memory space for the TLS session (i.e., the communication information separate from the handshake) has a substantially smaller footprint than the memory space for the TLS handshake. The TLS handshake memory space can be released and recycled for other connections while application communications use the smaller memory space allocated and populated with the TLS session data and infrastructure.

Abstract: A method, system and computer-usable medium are disclosed for sentiment detection based on applying an antonym dictionary to a natural language processing (NLP) system. A binary classifier is trained to predict negation cues, where a constituency parse tree is used to create rules for scope detection. The trained binary classifier, a list of conversational negation terms, and a list of antonyms are used to annotate content that considers negation cues and scope for the created rules.

Abstract: For connection establishment, a system allocates memory that will be occupied by the data and handshake sub-protocol infrastructure that facilitates establishing a TLS connection. After connection establishment, the system allocates memory space for the data and record sub-protocol infrastructure that facilitates the asynchronous communication of application traffic. The memory space for the TLS session (i.e., the communication information separate from the handshake) has a substantially smaller footprint than the memory space for the TLS handshake. The TLS handshake memory space can be released and recycled for other connections while application communications use the smaller memory space allocated and populated with the TLS session data and infrastructure.

Abstract: A method, system and computer-usable medium are disclosed for sentiment detection based on applying an antonym dictionary to a natural language processing (NLP) system. A binary classifier is trained to predict negation cues, where a constituency parse tree is used to create rules for scope detection. The trained binary classifier, a list of conversational negation terms, and a list of antonyms are used to annotate content that considers negation cues and scope for the created rules.

Abstract: A host computer dispatches storage I/O operations to a storage array by, in an I/O dispatch context, (i) identifying an I-T-L nexus based on a minimum-weight I-T nexus and a logical device of a storage I/O operation, (ii) dispatching the I/O on the identified I-T-L nexus, and (iii) updating a dispatch weight for the minimum-weight I-T nexus and logical device. In an I/O completion context, a completion weight is updated for an I-T nexus and logical device of a completed I/O. A background process is performed regularly for selecting the minimum-weight I-T nexus, including (a) for each I-T nexus, calculating a current weight value as a sum of difference values for all logical devices, each being the difference between the dispatch weight and the completion weight for the I-T nexus and logical device, and (b) selecting the I-T nexus having a minimum current weight value as the minimum-weight I-T nexus.