Abstract: Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for data processing. In a method for data processing, a first electronic device processes data based on a first data processing model to generate an initial result. A data size of the initial result is smaller than a data size of the data. The first electronic device sends the initial result to a second electronic device. The initial result is adjusted at the second electronic device and based on a second data processing model to generate an adjusted result. The second electronic device has more computing resources than the first electronic device, the second data processing model occupies more computing resources than the first data processing model, and an accuracy of the adjusted result is higher than that of the initial result.

Abstract: Embodiments of the present disclosure provide a method, a device, and a program product for keystroke pattern analysis.

Abstract: Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for information processing. In an information processing method, a first network state representation and a first content request event of an emulated network are provided from an emulator to an agent for reinforcement learning, wherein the first content request event indicates that a request node in the emulated network requests target content stored in a source node. The emulator receives first action information from the agent, wherein the first action information indicates a first caching action determined by the agent, the first caching action including caching the target content in at least one caching node between the request node and the source node. The emulator collects, based on the execution of the first caching action in the emulated network, first training data for training the agent.

Abstract: Embodiments of the present disclosure provide a method, a device, and a computer program product for updating a model. The method includes: determining a performance metric of a trained machine learning model at runtime; determining a homogeneity degree between a verification data set processed by the machine learning model at runtime and a training data set used to train the machine learning model; determining a type of a conceptual drift of the machine learning model based on the performance metric and the homogeneity degree; and performing an update of the machine learning model based on the type of the conceptual drift, where the update includes a partial update or a global update. In this way, a desired performance of the machine learning model can be maintained, while avoiding excessive time costs and computational resource costs caused by frequent global updates.

Abstract: A method includes: acquiring a set of operations to be performed on multiple computing units in the computing system; determining, based on the set of operations, the state of the multiple computing units, and an allocation model, an allocation action for allocating the set of operations to the multiple computing units and a reward for the allocation action, wherein the allocation model describes an association relationship among a set of operations, the state of multiple computing units, the allocation action for allocating the set of operations to the multiple computing units, and the reward for the allocation action; receiving an adjustment for the reward in response to determining that a match degree between the reward for the allocation action and a performance index of the computing system after the allocation action is performed satisfies a predetermined condition; and generating, based on the adjustment, training data for updating the allocation model.

Abstract: The present disclosure relates to a method, a device, and a program product for managing a computer system. One method includes: receiving a service request for the computer system, the service request describing an operation state of the computer system; respectively determining similarities between the service request and multiple historical service requests performed for the computer system, the multiple historical service requests respectively describing multiple historical operation states of the computer system; and determining, in response to determining that a similarity between the service request and a historical service request among the multiple historical service requests satisfies a predetermined similarity condition, a solution for processing the service request based on a pairing of the service request with the historical service request and a historical solution for processing the historical service request. Further, a corresponding device and a corresponding program product are provided.

Abstract: The present disclosure relates to a method, a device, and a program product for managing a computer system. One method includes: receiving a service request for the computer system, the service request describing an operation state of the computer system; respectively determining similarities between the service request and multiple historical service requests performed for the computer system, the multiple historical service requests respectively describing multiple historical operation states of the computer system; and determining, in response to determining that a similarity between the service request and a historical service request among the multiple historical service requests satisfies a predetermined similarity condition, a solution for processing the service request based on a pairing of the service request with the historical service request and a historical solution for processing the historical service request. Further, a corresponding device and a corresponding program product are provided.

Abstract: Embodiments of the present disclosure relate to a model training method, a data processing method, an electronic device, and a computer program product. The method includes: acquiring storage information associated with a simulated network environment; and training a reinforcement learning model using simulated data and based on a simulated-data read request for a node among multiple nodes included in the simulated network environment and each having a cache. With the technical solutions of the present disclosure, the cache allocation and cache replacement problems can be simultaneously solved by using a reinforcement learning model to determine in a dynamic environment a data caching scheme that meets predetermined criteria, so that it is possible to not only improve the accuracy and efficiency of determining the data caching scheme with less cost overhead, but also improve the user experience of users using the caching system.

Abstract: Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for information processing. In an information processing method, based on multiple weights corresponding to multiple words in text, a computing device determines a target object associated with the text among predetermined multiple objects, and also determines, among the multiple words, a set of key words with respect to the determination of the target object. Next, the computing device determines, among the set of key words, a set of target words related to a text topic of the text. Then, the computing device outputs the set of target words and an identifier of the target object in an associated manner. In this way, the credibility of the target object associated with the text that is determined by the information processing method is improved, thereby improving the user experience of the information processing method.

Abstract: Embodiments of the present disclosure provide a method, a device, and a program product for keystroke pattern analysis.

Abstract: Embodiments of the present disclosure provide a computer interaction method, device, and program product. The method includes: acquiring, in response to triggering of an input to an electronic device, multiple images that present a given part of a user; determining a corresponding character sequence based on respective gestures of the given part in the multiple images, corresponding characters in the character sequence being selected from a predefined character set in which multiple characters respectively correspond to different gestures of the given part; and determining, based on the character sequence, a computer instruction to be input to the electronic device. With this solution, the user can conveniently and flexibly execute the input to the electronic device through a gesture of the given part (e.g., a hand).

Abstract: The present disclosure relates to a method, a device, and a computer program product for model updating. The method includes: acquiring a first image set and first annotation information, wherein the first annotation information indicates whether a corresponding image in the first image set includes a target object; updating a first version of an object verification model using the first image set and the first annotation information to obtain a second version, wherein the first version of the object verification model has been deployed to determine whether an input image includes the target object; determining the accuracy of the second version of the object verification model; and updating, if it is determined that the accuracy is lower than a preset accuracy threshold, the second version of the object verification model using a second image set and second annotation information to obtain a third version of the object verification model.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for processing information. According to an example embodiment, the method includes: acquiring a service request record set, each service request record in the service request record set relating to a problem encountered by a user when the user is provided with a service and a solution to the problem; constructing a language model based on a first subset in the service request record set and an initial model, the initial model being trained using a predetermined corpus and configured to determine vector representations of words and sentences in the corpus; and constructing a classification model based on a second subset in the service request record set and the language model, the classification model being capable of determining a solution to a pending problem, and the first subset being different from the second subset.

Abstract: Provided is a novel donor-acceptor type compound which emits light even in a solid state. The present invention provides an organic optical material comprising a complex formed from (1) a conjugated molecule having (a) at least one electron donating site, (b) at least one electron accepting site, and (c) at least one conjugated site in the same molecule and (2) a compound having a proton donating property or an electron pair accepting property, the complex having a non-covalent interaction at the electron accepting site, wherein the complex is solid at ordinary temperature; and the organic optical material has a property of emitting light having a maximum fluorescence wavelength which causes a Stokes shift having a value corresponding to 5% or more of the value of a maximum absorption wavelength from the maximum absorption wavelength toward the long wavelength side.

Abstract: A multiple disk loader apparatus includes a plurality of rods. Each rod has a pair of pins extending radially from a side of the rod. The pair of pins are spaced circumferentially around the rod with respect to each other. Each pin has a top surface wherein the top surface of a first pin is longitudinally separated from the top surface of a second pin by a predetermined gap. A rotation device is coupled to the plurality of rods. The rotation device rotates the plurality of rods individually through a respective predetermined arc and in a respective rotational direction in order to extract a disk stack from storage and to separate a disk from the stack to load into a drive.