Abstract: Systems and methods are configured to split an epoch associated with a training dataset into a plurality of mini-epochs. A machine learning model can be trained with a mini-epoch of the plurality of mini-epochs. The mini-epoch can be, during the training, iterated for a number of times during the training. One or more metrics reflective of at least one of: a training loss, training accuracy, or validation accuracy of the machine learning model associated with the mini-epoch can be received. Whether to terminate iterations of the mini-epoch early before a number of iterations of the mini-epoch reaches the number of times based on the one or more metrics can be determined. The number of iterations can be a non-zero number.

Abstract: Systems and methods of testing integrated circuits independent of chip package configuration include or utilize a socket configured to receive a device under test (DUT), wherein the socket includes a plurality of input pins and a plurality of output pins, and wherein the DUT includes a plurality of device pins; a wireless communication device configured to wirelessly transmit information on the DUT to a server device operating a machine learning (ML) model, and wirelessly receive response data generated by the ML model from the server device, the response data including at least one of a pin configuration information of the DUT or a timing configuration information of the DUT; and a switch array configured to route respective ones of the plurality of device pins to corresponding ones of the plurality of output pins based on the response data.

Abstract: Systems and methods are provided to implement improvements to the RAG process. For example, the system may receive a search query with a first search term and implement an intermediate matching process to identify semantically similar values between the first search term and terms in an existing knowledge base. The system may also determine at least one of the semantically similar values within a latent space proximity of a second search term. Based on the second search term, the system may retrieve an external data source utilizing a mixed granularity process.

Abstract: Systems and methods are configured to provide lifetime data valuations for a dataset that evolves across multiple machine learning training tasks by providing and updating path-dependent data valuations for data points in the dataset during each training task. A current machine learning training task may include splitting the dataset into multiple random mini-epochs and training the current machine learning model using a first random mini-epoch and an accuracy mini-epoch, which consists of high value data points from the path-dependent data valuations. The random and accuracy mini-epochs can be, during the training, iterated for a number of times during the training, while a second random mini-epoch is prefetch. During the training, the path-dependent data valuations can be updated based on data valuations during the current training and a similarity between the current machine learning model and prior trained machine learning models.

Abstract: Use of a compound of Formula I and related compositions for treating kidney diseases, disorders and conditions in a subject in need of such treatment, wherein the subject in need of such treatment is a subject carrying one or more genetic mutations in ALPK1.

Abstract: Systems and methods of testing integrated circuits independent of chip package configuration include or utilize a socket configured to receive a device under test (DUT), wherein the socket includes a plurality of input pins and a plurality of output pins, and wherein the DUT includes a plurality of device pins; a wireless communication device configured to wirelessly transmit information on the DUT to a server device operating a machine learning (ML) model, and wirelessly receive response data generated by the ML model from the server device, the response data including at least one of a pin configuration information of the DUT or a timing configuration information of the DUT; and a switch array configured to route respective ones of the plurality of device pins to corresponding ones of the plurality of output pins based on the response data.

Abstract: A pole power tool includes a grip, a brushless electric motor, and a control assembly, where the grip is for a user to hold, the brushless electric motor includes a motor shaft movable around a motor axis, and the control assembly is configured to control operation of the brushless electric motor and includes a circuit board assembly and a circuit element. At least a first plane P exists, the first plane P passes through the circuit board assembly of the control assembly and the motor axis of the brushless electric motor, the first plane P intersects the circuit board assembly along a first line segment AB, and a projection of the first line segment AB on the motor axis at least partially falls on the motor shaft.

Abstract: Systems and methods of testing integrated circuits independent of chip package configuration include or utilize a socket configured to receive a device under test (DUT), wherein the socket includes a plurality of input pins and a plurality of output pins, and wherein the DUT includes a plurality of device pins; a wireless communication device configured to wirelessly transmit information on the DUT to a server device operating a machine learning (ML) model, and wirelessly receive response data generated by the ML model from the server device, the response data including at least one of a pin configuration information of the DUT or a timing configuration information of the DUT; and a switch array configured to route respective ones of the plurality of device pins to corresponding ones of the plurality of output pins based on the response data.

Abstract: Use of a compound of Formula I for treating atherosclerosis and related diseases, disorders and conditions in a subject in need of such treatment, wherein the subject in need of such treatment is a subject carrying one or more genetic mutations in ALPK1.

Abstract: Examples of the presently disclosed technology provide computerized systems and methods for dynamically adjusting amounts of precision (i.e., numbers of bits) used to represent and store individual weights of a neural network model (e.g., a DNN model) in response to training. Examples can use various heuristics to intelligently determine these individualized, and dynamic precision levels. For instance, a heuristic may include one or more of: (1) a measurement quantifying a magnitude of a respective weight's influence on output of the neural network model during a most recent set of training iterations (weights having relatively higher influence can be represented using higher precision); and (2) a measurement quantifying a magnitude of the respective weight's fluctuations in value during the most recent set of training iterations (weights having relatively smaller fluctuations in value can be represented using higher—i.e., more granular—precision).

Abstract: The present invention provides a continuous rolling temperature control process for high-flux continuous casting and direct rolling of a continuous aluminum alloy cast slab, comprising a continuous casting machine, a through-beam laser transmitter K, a controller, a spraying head, and a spraying system. A liquid-state aluminum alloy metal melt passes through the continuous casting machine and then is cooled and solidified to form a continuous cast slab; the movement direction of the continuous cast slab is controlled by a lifting table so that the continuous cast slab passes through an interior of a traction machine and extends into a continuous rolling machine; and the through-beam laser transmitter K is arranged between the continuous casting machine and the traction machine.

Abstract: The present invention discloses a method for treating ROSAH syndrome, specifically relates to a method for inhibiting ALPK1 or ALPK1[T237M]. The ALPK1 inhibitor has excellent pharmacokinetic properties, and has the potential to serve as a precision-targeted drug for the treatment of ROSAH syndrome.

Abstract: The present disclosure relates to the field of data processing. Provided is a distributed computing method, comprising: acquiring a data computing task; splitting the data computing task to obtain subtasks, deploying the subtasks to computing nodes, and configuring a parallel mode for each of the computing nodes in a distributed training universal frame; configuring a connection manner and a communication synchronization manner between the computing nodes; optimizing information synchronization efficiency for the computing nodes by using a gradient optimization algorithm or a non-gradient optimization algorithm; and aggregating intermediate results generated by the computing nodes, and outputting a corresponding final computing result.

Abstract: An image generating method and apparatus, and a device and a medium are disclosed. The method comprises: acquiring weakly correlated image-text data pairs, and creating an image-text data set according to the weakly correlated image-text data pairs, wherein the weakly correlated image-text data pairs are image-text data pairs in which images and texts have weak correlations (S11); training, by using the image-text data set, an image generation model which is preconstructed on the basis of an adversarial network, so as to obtain a trained image generation model, wherein the image generation model includes a generator for generating an image, and a discriminator for identifying the authenticity of the image and calculating a corresponding loss value (S12); and after when text data to be processed has been acquired, generating, by using the trained image generation model, an image corresponding to the said text data (S13).

Abstract: This application discloses a method of determining a network path and a network device. The method includes: determining a first reachable network path that uses a source node as a start point and a directly connected node of the source node as an end point; selecting a first node from a to-be-added node set to obtain a second reachable network path that uses the source node as the start point and the first node as a relay; and when there are m paths that use a same destination node as end points in the first and second reachable network paths, comparing the m paths based on n target factors to obtain a first dominant network path, and updating the first reachable network path based on the first dominant network path, where m?2, and n?2.

Abstract: A data sending method includes a first computer device predicting a link quality of N links based on a sending queue length of each of the N links and historical statistical information, and selecting, based on the predicted link quality, a first target link for sending first data, to send the first data to a second computer device, where the first data is a part of data in a target data stream.

Abstract: The technology of this application relates to a communication method and apparatus. The communication method includes a data sending device obtaining to-be-sent data of a locally installed first application, where a destination address of the to-be-sent data is an address of a data receiving device. The data sending device determines an address or addresses of one or more network adapters of the data receiving device based on the address of the data receiving device, the data sending device encapsulates the to-be-sent data based on the network adapter address to obtain encapsulated data, and the data sending device sends the encapsulated data to the data receiving device through a plurality of links. A destination address of each link is one of network adapter addresses of the data receiving device, and a source address of each link is one of network adapter addresses of the data sending device.

Abstract: A probiotic-encapsulating gum Arabic (GA) composite fiber/capsule, including: lactic acid bacteria and an electrospun fiber or electrosprayed capsule, where the lactic acid bacteria are encapsulated in the electrospun fiber or electrosprayed capsule by electro-hydro dynamics (EHD) technology. The electrospun fiber or electrosprayed capsule is prepared by compounding a polymer matrix with GA, and the polymer matrix is polyvinyl alcohol (PVOH), polyvinylpyrrolidone (PVP), whey protein concentrate (WPC) or maltodextrin (MD). A preparation method and an application of the composite fiber/capsule are also provided.

Abstract: A method and apparatus for allocating a computing task of a neural network in heterogeneous resources, a computer device, and a storage medium. The method includes: acquiring task information of the computing task of the neural network and resource information of the heterogeneous resources; determining, according to the task information and the resource information, an allocation mode for allocating each subtask to the heterogeneous resources for execution and a task processing cost corresponding to each allocation mode; constructing a directed acyclic graph according to each allocation mode and each task processing cost; obtaining a value of a loss function corresponding to each allocation path according to the task processing cost corresponding to each subtask in an allocation path of the directed acyclic graph; and selecting a target allocation path according to the value of each loss function.

Abstract: Systems and methods are provided for data shuffling for distributed machine learning training, including each training node in the network receiving a shard of training data, wherein the training data set is divided into shards having data items. Each data item is assigned to a working set such that each of the working set includes data items from multiple shards. The training nodes perform training using the data items of a first working set that are in each node's shard. Upon completion of the training using the data items of the first working set, the training nodes performing training using the data items of a second working set that are in their shards; and while the training nodes are performing training on their respective subsets of shards of the second working set, the nodes randomly shuffling data items in the first working set to create a shuffled first working set.