Abstract: Artificial intelligence is an increasingly important sector of the computer industry. However, artificial intelligence is very computationally intensive field. Fortunately, many of the required calculations can be performed in parallel such that specialized processors can greatly increase computation performance. In particular, Graphics Processor Units (GPUs) are often used in artificial intelligence. Although GPUs have helped, they are not ideal for artificial intelligence. Specifically, GPUs are used to compute matrix operations in one direction with a pipelined architecture. However, artificial intelligence is a field that uses both forward propagation computations and back propagation calculations. To efficiently perform artificial intelligence calculations, a symmetric matrix processing element is introduced. The symmetric matrix processing element can perform forward propagation and backward propagation calculations just as easily.

Abstract: Artificial intelligence is an increasingly important sector of the computer industry. However, artificial intelligence is extremely computationally intensive field such that it can be expensive, time consuming, and energy consuming field. Fortunately, many of the calculations required for artificial intelligence can be performed in parallel such that specialized processors can great increase computational performance for AI applications. Specifically, artificial intelligence generally requires large numbers of matrix operations such that specialized matrix processor circuits can greatly improve performance. To efficiently execute all these matrix operations, the matrix processor circuits must be quickly and efficiently supplied with a stream of data and instructions to process or else the matrix processor circuits end up idle. Thus, this document discloses packet architecture for efficiently creating and supplying neural network processors with work packets to process.

Abstract: Multiple communication paths are established for communications between a User Equipment (UE) and a wireless communication network, before switching between those paths is initiated. Signaling that includes an explicit indication that the UE is to switch between the multiple communication paths is transmitted to and received by at least the UE for which the multiple communication paths were established. Responsive to the explicit indication, communications are switched between the communication paths. At least one of the communication paths includes a relay path between the UE and the wireless communication network through another UE. Establishment of the multiple paths in advance of the switching may be useful in enabling fast switching with low latency and/or no traffic loss.

Abstract: A well cementing method is described for improving cementing quality by controlling the hydration heat of cement slurry. By controlling the degree and/or rate of hydration heat release from cement slurry, the method improves the hydration heat release during formation of cement with curing of cement slurry, improves the binding quality between the cement and the interfaces, and in turn improves the cementing quality at the open hole section and/or the overlap section. The cementing method improves cementing quality of oil and gas wells and reduces the risk of annular pressure.

Abstract: A method of manufacturing a carrying substrate is provided. At least one circuit component is disposed on a first circuit structure. An encapsulation layer is formed on the first circuit structure and encapsulates the circuit component. A second circuit structure is formed on the encapsulation layer and electrically connected to the circuit component. The circuit component is embedded in the encapsulation layer via an existing packaging process. Therefore, the routing area is increased, and a package substrate requiring a large size has a high yield and low manufacturing cost.

Abstract: A power flow calculation and AC/DC hybrid power flow calculation method for a flexible DC transmission system, the method including: according to the flexible DC transmission system under different control strategies, constructing a unified power flow model with a unified structure; determining a current main converter station, a current control strategy and an initial value and a limit value thereof, and forming the power balance equations under the current control strategy according to the unified power flow model; updating the current DC node voltage according to the voltage variation obtained by solving the power balance equations, and, if the updated DC node voltage exceeds the limit value, switching the control strategy; and if the updated DC node voltage does not exceed the limit value and the iteration constraints are not satisfied, alternating the main converter station according to the priority until iteration is completed.

Abstract: Aspects of the present application provide methods and device for use in User Equipment (UE) cooperation. UE cooperation may include the cooperating UEs (CUEs) forwarding traffic to or from one or more target UEs (TUEs) with redundant signal transmissions or receptions. Methods involve a base station transmitting configuration information to at least one cooperative user equipment (CUE) and to a target user equipment (TUE). The configuration information includes an indication of resources for a sidelink (SL) transmission and a redundancy parameter for the SL transmission. The SL transmission is a transmission for the at least one CUE to forward a packet intended for the TUE. The base station also transmits the packet intended for the TUE, to a plurality of UEs comprising the at least one CUE and the TUE.

Abstract: A face model editing method adapted to a face model editing system having a modeling platform and an editing platform is provided. The modeling platform has a plurality of face feature animation objects and a plurality of object parameters thereof. The face model editing method includes: receiving an object selection instruction by using the editing platform, and accessing the object parameter of the face feature animation object from the modeling platform according to the object selection instruction; receiving an adjusting instruction by using the editing platform, and adjusting the accessed object parameter; transmitting, by the editing platform, the adjusted object parameter to the modeling platform to update the object parameters; and generating, by the modeling platform, a three-dimensional face model by using the updated object parameters in combination with the face feature animation objects, and transmitting the three-dimensional face model to the editing platform for demonstration.

Abstract: A face model building method is provided. The face model building method includes: obtaining a plurality of facial feature animation objects and a plurality of object parameters respectively corresponding to the facial feature animation objects, where the facial feature animation objects include a plurality of two-dimensional facial feature animation objects and at least one three-dimensional facial feature animation object; and integrating the facial feature animation objects according to the object parameters to generate a three-dimensional face model. A face model building system is further provided.

Abstract: Ethylcellulose dispersions in water are film forming compositions that have found use in personal care applications. Conventional methods can require that aqueous dispersions of water-insoluble polymers such as ethylcellulose be obtained using surfactants such as sodium lauryl sulfate (SLS). There is a desire to reduce the degree of consumer exposure to SLS in personal care products. The present invention describes ethylcellulose dispersions comprising surfactants to substantially replace sodium lauryl sulfate. The present invention also describes methods of reducing or substantially eliminating SLS in personal care products that comprise ethylcellulose dispersions.

Abstract: An augmented reality implementing method applied to a server, which includes a plurality of augmented reality objects and a plurality of setting records corresponding to the augmented reality objects respectively is provided. Firstly, the server receives an augmented reality request from a mobile device, where the augmented reality request is related to a target device. Then, the server is communicated with the target device to access current information. Then, the server determines the current information corresponds to which one of the setting records, and selects one of the augmented reality objects based on the determined setting record as a virtual object provided to the mobile device.

Abstract: Methods and systems are provided for dynamically visualizing an object of interest that includes part of the vasculature of a patient, which employ a 3D model of the object to generate at least one roadmap that includes information that characterizes properties of the object (such as centerlines, contours, and an image mask. Reference location(s) corresponding to the roadmap(s) are determined for an interventional device used to treat the object. In an online phase, non-contrast-enhanced x-ray image data of the object are obtained and processed to determine location of the interventional device in the image data, and a particular roadmap is selected or accessed. The reference location corresponding to the particular roadmap and the determined location of interventional device are used to transform the particular roadmap. A visual representation of the transformed roadmap is overlaid on the image data for display.

Abstract: Some embodiments of the present disclosure relate to methods, devices and computer-readable media for measuring traffic hit time during path switch. The method performed at a first device includes: sending, to a second device, operation administration and maintenance (OAM) frames with continuous sequence numbers; receiving from the second device response OAM frames; determining traffic hit start time and traffic hit stop time based on the received OAM frames; detecting an occurrence of the path switch, and determining that the path switch is completed before the traffic hit stop time; and in response to determining that the path switch is completed before the traffic hit stop time, calculating traffic hit time based at least on the traffic hit start time and the traffic hit stop time.

Abstract: Methods are provided for dynamically visualizing information in image data of an object of interest of a patient, which include an offline phase and an online phase. In the offline phase, first image data of the object of interest acquired with a contrast agent is obtained with an interventional device is present in the first image data. The first image data is used to generate a plurality of roadmaps of the object of interest. A plurality of reference locations of the device in the first image data is determined, wherein the plurality of reference locations correspond to the plurality of roadmaps. In the online phase, live image data of the object of interest acquired without a contrast agent is obtained with the device present in the live image data, and a roadmap is selected from the plurality of roadmaps. A location of the device in the live image data is determined.

Abstract: A method is provided for monitoring a flow of a fluid in a vessel of a body of a living being is provided. The method comprises obtaining a first image data set representing the vessel filled with a first fluid, the first image data set comprising at least one first image frame and the first fluid contrasting with matter surrounding the vessel and obtaining a second image data set representing the vessel substantially void of the first fluid, the second image data set comprising at least one second image frame. Based on the first image data set and the second image set, an estimated location of the vessel in the second image set is estimated; and monitoring presence in the second data set of contrasting image data at the estimated location of the vessel is monitored.

Abstract: In one aspect, the present invention is directed to a method of making a controlled release solid dosage form having an ethylcellulose coating layer, which layer comprises a coalescing agent which is an organic ester having an HLB Value of from 3 to 8. The use of such coalescing agent permits the formation of an effective controlled release coating without the need for a further curing step after the coating process. In other aspects, this invention relates to an aqueous dispersion useful in such method; as well as to the coated dosage form produced.

Abstract: The invention relates to (i) an angiogenesis gene signature and (ii) a monocytic myeloid-derived suppressor cell (mMDSC) gene signature that are each predictive of patient response to treatment with a PD-1 antagonist, wherein the angiogenesis signature comprises five or more genes. More specifically, a lower angiogenesis score is associated with favorable response to a PD-1 antagonist in a patient with cancer. Similarly, a lower mMDSC score is associated with favorable response to a PD-1 antagonist in a patient with cancer. Also provided are methods of treating a cancer patient with a PD-1 antagonist that were identified as either (i) positive for the angiogenesis gene signature biomarker of the invention or (ii) positive for the mMDSC gene signature biomarker of the invention.

Abstract: The invention relates to a stromal/EMT/TGF? signature that is predictive of patient response to treatment with a PD-1 antagonist, wherein the stromal/EMT/TGF? signature comprises five or more genes selected from Table 1 disclosed herein. More specifically, a lower stromal/EMT/TGF-? score is associated with favorable response to a PD-1 antagonist in a patient with cancer. Also provided are methods of treating a cancer patient with a PD-1 antagonist that were identified as positive for the stromal/EMT/TGF? biomarker of the invention. The disclosure also provides methods and kits for testing tumor samples for the biomarkers.

Abstract: Artificial intelligence is an increasingly important sector of the computer industry. One of the most important applications for artificial intelligence is object recognition and classification from digital images. Convolutional neural networks have proven to be a very effective tool for object recognition and classification from digital images. However, convolutional neural networks are extremely computationally intensive thus requiring high-performance processors, significant computation time, and significant energy consumption. To reduce the computation time and energy consumption a “cone of dependency” and “cone of influence” processing techniques are disclosed. These two techniques arrange the computations required in a manner that minimizes memory accesses such that computations may be performed in local cache memory. These techniques significantly reduce the time to perform the computations and the energy consumed by the hardware implementing a convolutional neural network.

Abstract: Artificial intelligence is an increasingly important sector of the computer industry. One of the most important applications for artificial intelligence is object recognition and classification from digital images. Convolutional neural networks have proven to be a very effective tool for object recognition and classification from digital images. However, convolutional neural networks are extremely computationally intensive thus requiring high-performance processors, significant computation time, and significant energy consumption. To reduce the computation time and energy consumption a “cone of dependency” and “cone of influence” processing techniques are disclosed. These two techniques arrange the computations required in a manner that minimizes memory accesses such that computations may be performed in local cache memory. These techniques significantly reduce the time to perform the computations and the energy consumed by the hardware implementing a convolutional neural network.