Abstract: A continuous anomaly detection service receives data stream and performs continuous anomaly detection on the incoming data streams. This continuous anomaly detection is performed based on anomaly detection definitions, which define a signal used for anomaly detection and an anomaly detection configuration. These anomaly detection definitions can be modified, such that continuous anomaly detection continues to be performed for the data stream and the signal, based on the new anomaly detection definition.

Abstract: Embodiments of the present disclosure relate to a method, apparatus, device, storage medium, and program product for obtaining text material, comprising: in response to a material obtaining instruction, obtaining a set of candidate videos associated with a target object comprising a plurality of posted candidate videos; for each candidate video, determining the popularity of the candidate video based on the playing data of the candidate video and/or the object information of the explained object included in the candidate video; selecting recommended videos based on popularity for display; in response to a selection operation for the recommended video, generating text material corresponding to the target object based on key information in the recommended video. In this way, users can quickly review the recommended videos and obtain creative inspiration.

Abstract: The present disclosure relates to securing workloads of a network by identifying compromised elements in communication with the network and preventing their access to network resources. In one aspect, a method includes monitoring network traffic at network elements of a network; detecting a compromised element in communication with one or more of the network elements, the compromised element being associated with at least one network threat; and based on a defined network policy, applying one of a number of different access prevention schemes to the compromised element to prevent access to the network by the compromised element.

Abstract: Embodiments of the present invention are directed to facilitating distributed data processing for machine learning. In accordance with aspects of the present disclosure, a set of commands in a query to process at an external computing service is identified. For each command in the set of commands, at least one compute unit including at least one operation to perform at the external computing service is identified. Each of the at least one compute unit associated with each command is analyzed to identify an optimized manner in which to execute the set of commands at the external computing service. An indication of the optimized manner in which to execute the set of commands and a corresponding set of data is provided to the external computing service to utilize for executing the set of commands at the external computing service.

Abstract: A continuous anomaly detection service receives data stream and performs continuous anomaly detection on the incoming data streams. This continuous anomaly detection is performed based on anomaly detection definitions, which define a signal used for anomaly detection and an anomaly detection configuration. These anomaly detection definitions can be modified, such that continuous anomaly detection continues to be performed for the data stream and the signal, based on the new anomaly detection definition.

Abstract: A heating device for a lens, and an optical camera and a method for manufacturing same. A lens (1000) comprises a lens body, the lens body has a first surface (1100) and a second surface (1200) which are opposite to each other, and an edge (1300) that connects the first surface (1100) and the second surface (1200). The 5 heating device (1400) comprises: a heating unit adapted to be arranged on the edge (1300) of the lens body and used for transferring heat to the lens body after being powered. The heating device (1400) can achieve at least one of the beneficial effects such as a simple structure, high heat efficiency, uniform heating, safety in use, and strong weather resistance.

Abstract: The present invention relates to a compound for treating gout, a preparation method therefor and the use thereof. The compound is as represented by formula I. Disclosed in the present invention are a method for preparing the compound and the use of the compound in the preparation of a drug for treating or preventing gout. Further disclosed in the present invention is a composition product containing the compound. The compound provided by the present invention can be used for treating inflammation and gout, and can also be used for treating cancers.

Abstract: In some implementations, sequences of time series values determined from machine data are obtained. Each sequence corresponds to a respective time series. A plurality of predictive models is generated for a first time series from the sequences of time series values. Each predictive model is to generate predicted values associated with the first time series using values of a second time series. For each of the plurality of predictive models, an error is determined between the corresponding predicted values and values associated with the first time series. A predictive model is selected for anomaly detection based on the determined error of the predictive model. Transmission is caused of an indication of an anomaly detected using the selected predictive model.

Abstract: A Li3Mg2SbO6-based microwave dielectric ceramic material easy to sinter and with high Q value, and a preparation method thereof are disclosed. A chemical formula of the material is Li3(Mg1-xZnx)2SbO6, wherein 0.02?x?0.08. The preparation method includes: 1) mixing and ball-milling Sb2O3 and Li2CO3 according to a chemical ratio and then drying, and conducting pre-sintering to obtain a Li3SbO4 phase; and 2) mixing and ball-milling MgO, ZnO and Li3SbO4 powder according a chemical ratio of Li3(Mg1-xZnx)2SbO6 and then drying, conducting granulation and sieving after adding an adhesive, pressing into a cylindrical body, and sintering the cylindrical body into ceramic in the air at 1325° C. and under normal pressure, wherein a dielectric constant is 7.2-8.5, a quality factor is 51844-97719 GHz, and a temperature coefficient of resonance frequency is ?14-1 ppm/° C.

Abstract: A model training method, a method and an apparatus for human-machine interaction. The method includes: acquiring a sample set corresponding to a template; constructing positive example pairs and negative example pairs for a contrastive learning task based on the sample set; performing contrastive learning training on a pre-training model based on the positive example pairs and the negative example pairs for the contrastive learning task.

Abstract: The present disclosure relates to securing workloads of a network by identifying compromised elements in communication with the network and preventing their access to network resources. In one aspect, a method includes monitoring network traffic at network elements of a network; detecting a compromised element in communication with one or more of the network elements, the compromised element being associated with at least one network threat; and based on a defined network policy, applying one of a number of different access prevention schemes to the compromised element to prevent access to the network by the compromised element.

Abstract: The present disclosure provides intent recognition model training and intent recognition methods and apparatuses, and relates to the field of artificial intelligence technologies. The intent recognition model training method includes: acquiring training data including a plurality of training texts and first annotation intents of the plurality of training texts; constructing a neural network model including a feature extraction layer and a first recognition layer; and training the neural network model according to word segmentation results of the plurality of training texts and the first annotation intents of the plurality of training texts to obtain an intent recognition model. The method for intent recognition includes: acquiring a to-be-recognized text; and inputting word segmentation results of the to-be-recognized text to an intent recognition model, and obtaining a first intent result and a second intent result of the to-be-recognized text according to an output result of the intent recognition model.

Abstract: Embodiments of the present invention are directed to facilitating distributed data processing for machine learning. In accordance with aspects of the present disclosure, a set of commands in a query to process at an external computing service is identified. For each command in the set of commands, at least one compute unit including at least one operation to perform at the external computing service is identified. Each of the at least one compute unit associated with each command is analyzed to identify an optimized manner in which to execute the set of commands at the external computing service. An indication of the optimized manner in which to execute the set of commands and a corresponding set of data is provided to the external computing service to utilize for executing the set of commands at the external computing service.

Abstract: The present disclosure relates to securing workloads of a network by identifying compromised elements in communication with the network and preventing their access to network resources. In one aspect, a method includes monitoring network traffic at network elements of a network; detecting a compromised element in communication with one or more of the network elements, the compromised element being associated with at least one network threat; and based on a defined network policy, applying one of a number of different access prevention schemes to the compromised element to prevent access to the network by the compromised element.

Abstract: The present disclosure relates to securing workloads of a network by identifying compromised elements in communication with the network and preventing their access to network resources. In one aspect, a method includes monitoring network traffic at network elements of a network; detecting a compromised element in communication with one or more of the network elements, the compromised element being associated with at least one network threat; and based on a defined network policy, applying one of a number of different access prevention schemes to the compromised element to prevent access to the network by the compromised element.

Abstract: A method for recognizing a dialogue intention, an electronic device and a storage medium are provided. The solution includes: obtaining a sample sentence with an intention category to be predicted and a plurality of supporting sentences each labeled with an intention category; and inputting the sample sentence and the plurality of supporting sentences into a trained intention recognition model, in which the trained intention recognition model is configured to generate a sample sentence vector corresponding to the sample sentence and category vectors corresponding to the plurality of supporting sentences based on the sample sentence and the plurality of supporting sentences, calculate matching degrees between the sample sentence vector and the category vectors, and obtain a predicted intention category of the sample sentence based on the matching degrees.

Abstract: A Li3Mg2SbO6-based microwave dielectric ceramic material easy to sinter and with high Q value, and a preparation method thereof are disclosed. A chemical formula of the material is Li3(Mg1-xZnx)2SbO6, wherein 0.02?x?0.08. The preparation method includes: 1) mixing and ball-milling Sb2O3 and Li2CO3 according to a chemical ratio and then drying, and conducting pre-sintering to obtain a Li3SbO4 phase; and 2) mixing and ball-milling MgO, ZnO and Li3SbO4 powder according a chemical ratio of Li3(Mg1-xZnx)2SbO6 and then drying, conducting granulation and sieving after adding an adhesive, pressing into a cylindrical body, and sintering the cylindrical body into ceramic in the air at 1325° C. and under normal pressure, wherein a dielectric constant is 7.2-8.5, a quality factor is 51844-97719 GHz, and a temperature coefficient of resonance frequency is ?14-1 ppm/° C.

Abstract: Embodiments of the present invention are directed to facilitating search input recommendations. In accordance with aspects of the present disclosure, a set of events determined from raw machine data is obtained. The events are analyzed to generate a temporal map associated with the set of events. Generally, the temporal map associates candidate terms with temporally related terms that occur within a period of time corresponding with the candidate terms. A search term input into a search field is received. Based on the input search term, the temporal map is used to identify one or more temporally related term recommendations.