Abstract: An inference acceleration method relating to artificial intelligence technical fields such as a large model, deep learning, and natural language processing is provided. The inference acceleration method for large models includes: after inputting a source text to be processed into a target large model, obtaining a top-layer hidden state of the target large model for predicting a next token; obtaining action decision information corresponding to the next token according to the top-layer hidden state; in response to determining that the action decision information is a copy action, obtaining a text copy interval corresponding to the next token according to the top-layer hidden state; copying text in the source text to be processed that is located within the text copy interval, and using a copy result as the next token.

Abstract: The present teaching relates to recommending content by analyzing the streamed data. A request is received from a user requesting one or more recommendations from a set of items. A first distribution indicative of an interest distribution of the user in a plurality of topics is obtained. For each item, a second distribution indicative of a classification distribution of the item with respect to the plurality of topics is obtained. A score is estimated based on the first distribution and the second distribution, wherein the score indicates likelihood that the user is interested in the item. The scores associated with the set of items are ranked. The one or more recommendations are presented based on the ranked scores.

Abstract: Disclosed is a graded plugging, monitoring and reinforcing integrated method for separation stratum grouting under single-side open conditions, falling within the technical field of coal mine filling and mining. The method specifically includes the following steps: analyzing the development law of a separation stratum, determining the scope of protective coal pillars for a surface building/structure, constructing a combined plugging dam, monitoring and evaluating the combined plugging dam, and implementing local reinforcement measures. The combined plugging dam proposed in the present disclosure can effectively prevent grout from flowing and migrating towards the remaining space of a target separation stratum above a mined area during grouting under single-side open conditions, enhancing the effectiveness of separation stratum grouting.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide a unified digital content discovery framework that implements a combination of a logistic loss function and a pair-wise loss function for information retrieval. The logistic loss function reduces non-relevant images from appearing in the retrieved results, while the pair-wise loss function ensures that the highest-quality content is included in such results.

Abstract: Disclosed is a graded plugging, monitoring and reinforcing integrated method for separation stratum grouting under single-side open conditions, falling within the technical field of coal mine filling and mining. The method specifically includes the following steps: analyzing the development law of a separation stratum, determining the scope of protective coal pillars for a surface building/structure, constructing a combined plugging dam, monitoring and evaluating the combined plugging dam, and implementing local reinforcement measures. The combined plugging dam proposed in the present disclosure can effectively prevent grout from flowing and migrating towards the remaining space of a target separation stratum above a mined area during grouting under single-side open conditions, enhancing the effectiveness of separation stratum grouting.

Abstract: The present teaching relates to recommending content by analyzing the streamed data. A request is received from a user requesting one or more recommendations from a set of items. A first distribution indicative of an interest distribution of the user in a plurality of topics is obtained. For each item, a second distribution indicative of a classification distribution of the item with respect to the plurality of topics is obtained. A score is estimated based on the first distribution and the second distribution, wherein the score indicates likelihood that the user is interested in the item. The scores associated with the set of items are ranked. The one or more recommendations are presented based on the ranked scores.

Abstract: A graphitization furnace includes a furnace body, an upper lining, an insulating lining, a lower lining, a positive electrode and a negative electrode. The upper lining, the insulating lining and the lower lining are all disposed as attached to an inner wall of the furnace body, and the upper lining, the insulating lining and the lower lining sequentially abut against one another along a direction from top to bottom, and the upper lining, the insulating lining and the lower lining are all substantially provided with first through holes with a common axis. The positive electrode is substantially disposed vertically, a lower end of the positive electrode is disposed within the upper lining, the negative electrode is substantially disposed horizontally, and a middle part of the negative electrode is provided with a second through hole for passing raw ingredients.

Abstract: The present disclosure provides a method for processing sentence, including: determining a vector representation of a sentence to be processed; inputting the vector representation of the sentence to be processed to a first recurrent neural network, and updating a state of a hidden layer of the first recurrent neural network as a vector representation of a historical dialogue, wherein, if a processed sentence exists, the state of the hidden layer of the first recurrent neural network is related to the processed sentence; determining a knowledge vector related to the sentence to be processed; and generating a reply sentence based on the vector representation of the historical dialogue and the knowledge vector. The present disclosure further provides a system for processing sentence, an electronic device, and a computer-readable medium.

Abstract: The present teaching relates to recommending content by analyzing the streamed data. A request is received from a user requesting one or more recommendations from a set of items. A first distribution indicative of an interest distribution of the user in a plurality of topics is obtained. For each item, a second distribution indicative of a classification distribution of the item with respect to the plurality of topics is obtained. A score is estimated based on the first distribution and the second distribution, wherein the score indicates likelihood that the user is interested in the item. The scores associated with the set of items are ranked. The one or more recommendations are presented based on the ranked scores.

Abstract: The present teaching relates to ranking search content. In one example, a plurality of documents is received to be ranked with respect to a query. Features are extracted from the query and the plurality of documents. The plurality of documents is ranked based on a ranking model and the extracted features. The ranking model is derived to remove one or more documents from the plurality of documents that are less relevant to the query and order remaining documents based on their relevance to the query. The ordered remaining documents are provided as a search result with respect to the query.

Abstract: The present teaching relates to ranking search content. In one example, a plurality of documents is received to be ranked with respect to a query. Features are extracted from the query and the plurality of documents. The plurality of documents is ranked based on a ranking model and the extracted features. The ranking model is derived to remove one or more documents from the plurality of documents that are less relevant to the query and order remaining documents based on their relevance to the query. The ordered remaining documents are provided as a search result with respect to the query.

Abstract: The present teaching relates to recommending content by analyzing the streamed data. A request is received from a user requesting one or more recommendations from a set of items. A first distribution indicative of an interest distribution of the user in a plurality of topics is obtained. For each item, a second distribution indicative of a classification distribution of the item with respect to the plurality of topics is obtained. A score is estimated based on the first distribution and the second distribution, wherein the score indicates likelihood that the user is interested in the item. The scores associated with the set of items are ranked. The one or more recommendations are presented based on the ranked scores.

Abstract: The present disclosure provides a method for processing sentence, including: determining a vector representation of a sentence to be processed; inputting the vector representation of the sentence to be processed to a first recurrent neural network, and updating a state of a hidden layer of the first recurrent neural network as a vector representation of a historical dialogue, wherein, if a processed sentence exists, the state of the hidden layer of the first recurrent neural network is related to the processed sentence; determining a knowledge vector related to the sentence to be processed; and generating a reply sentence based on the vector representation of the historical dialogue and the knowledge vector. The present disclosure further provides a system for processing sentence, an electronic device, and a computer-readable medium.

Abstract: The present teaching relates to rewriting a query and providing search results. In one example, a plurality of queries is obtained. For each of the plurality of queries, one or more search results are identified. The one or more search results have been obtained in response to the query and have been previously selected by a user submitting the query. A plurality of titles is obtained. Each of the titles corresponds to one of the one or more search results with respect to one of the plurality of queries. A model is generated based on the plurality of queries and the plurality of titles. The model is to be used for rewriting a query.

Abstract: A coal measures fault formation simulation experimental device and a normal and reverse fault simulation experiment method relate to the field of similar material simulation experiment technology. The device includes a hydraulic lifting apparatus, a lower angle adjusting apparatus, a push rod apparatus, an upper loading apparatus, an upper angle adjusting apparatus, a lateral loading apparatus and a transparent side plate. The hydraulic lifting apparatus and the lower angle adjusting apparatus are below the experimental body, the upper loading apparatus and the upper angle adjusting apparatus are above the experimental body, the transparent side plate is disposed at a rear side surface of the experimental body, and the lateral loading apparatus is disposed at an end face of the experimental body.

Abstract: Provided are a normal fault simulation experiment device with an adjustable angle and an adjustable fracture initiation position and a method of using the same, which relate to the technical field of normal fault simulation experiments. The device includes a base, a column, a baffle plate, a hydraulic lifting apparatus, a lower angle adjusting apparatus, a push rod apparatus, an upper loading apparatus, an upper angle adjusting apparatus, a front baffle plate and a transparent side plate. The hydraulic lifting apparatus and the lower angle adjusting apparatus are disposed below an experimental body, the upper loading apparatus and the upper angle adjusting apparatus are disposed above the experimental body, the transparent side plate is disposed on a rear side surface of the experimental body, and a plurality of strip-shaped front baffle plates are disposed on a front side surface of the experimental body.

Abstract: Provided are a normal fault simulation experiment device with an adjustable angle and an adjustable fracture initiation position and a method of using the same, which relate to the technical field of normal fault simulation experiments. The device includes a base, a column, a baffle plate, a hydraulic lifting apparatus, a lower angle adjusting apparatus, a push rod apparatus, an upper loading apparatus, an upper angle adjusting apparatus, a front baffle plate and a transparent side plate. The hydraulic lifting apparatus and the lower angle adjusting apparatus are disposed below an experimental body, the upper loading apparatus and the upper angle adjusting apparatus are disposed above the experimental body, the transparent side plate is disposed on a rear side surface of the experimental body, and a plurality of strip-shaped front baffle plates are disposed on a front side surface of the experimental body.

Abstract: A coal measures fault formation simulation experimental device and a normal and reverse fault simulation experiment method relate to the field of similar material simulation experiment technology. The device includes a hydraulic lifting apparatus, a lower angle adjusting apparatus, a push rod apparatus, an upper loading apparatus, an upper angle adjusting apparatus, a lateral loading apparatus and a transparent side plate. The hydraulic lifting apparatus and the lower angle adjusting apparatus are below the experimental body, the upper loading apparatus and the upper angle adjusting apparatus are above the experimental body, the transparent side plate is disposed at a rear side surface of the experimental body, and the lateral loading apparatus is disposed at an end face of the experimental body.

Abstract: A location prediction framework is described for applying location labels or tags to target documents and/or identifying location-sensitive queries. Terms in content and queries are represented by corresponding term locations vectors (TLVs) in which the term is represented as a weighted distribution across locations. Each element of a TLV represents a probability that the term corresponding to the TLV relates to a particular location. Predicted locations may be introduced as features to a ranking framework to improve the identification and ranking of search results for a given query.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide a unified digital content discovery framework that implements a combination of a logistic loss function and a pair-wise loss function for information retrieval. The logistic loss function reduces non-relevant images from appearing in the retrieved results, while the pair-wise loss function ensures that the highest-quality content is included in such results.