Abstract: A method for enhancing kernel reparameterization of a non-linear machine learning model includes providing a predefined machine learning model, expanding a kernel of the predefined machine learning model with a non-linear network for convolution operation of the predefined machine learning model to generate the non-linear machine learning model, training the non-linear machine learning model, reparameterizing the non-linear network back to a kernel for convolution operation of the non-linear machine learning model to generate a reparameterized machine learning model, and deploying the reparameterized machine learning model to an edge device.

Abstract: The present disclosure discloses a pressure detection assembly and an ultrasonic welding device, the pressure detection assembly includes a first connecting piece, a second connecting piece, a detection unit and an elastic member, wherein the first connecting piece is provided with a first guide portion; the second connecting piece is connected to the first connecting piece, and the second connecting piece is provided with a second guide portion matched with the first guide portion; the detection unit is provided between the first connecting piece and the second connecting piece, and the detection unit is configured to collect the pressure value between the first connecting piece and the second connecting piece; and the elastic member is connected between the first connecting piece and the second connecting piece, wherein the elastic member can make the first connecting piece and the second connecting piece clamp the detection unit.

Abstract: A reparameterization method for initializing a machine learning model includes initializing a prefix layer of a first low dimensional layer in the machine learning model and a postfix layer of the first low dimensional layer, inverting the prefix layer to generate an inverse prefix layer of the first low dimensional layer, inverting the postfix layer to generate an inverse postfix layer of the first low dimensional layer, combining the inverse prefix layer, the first low dimensional layer and the inverse postfix layer to form a high dimensional layer, generating parallel operation layers from the high dimensional layer, and assigning initial weights to the parallel operation layers.

Abstract: In aspects of the disclosure, a method, a system, and a computer-readable medium are provided. The method of building a kernel reparameterization for replacing a convolution-wise operation kernel in training of a neural network comprises selecting one or more blocks from tensor blocks and operations; and connecting the selected one or more blocks with the selected operations to build the kernel reparameterization. The kernel reparameterization has a dimension same as that of the convolution-wise operation kernel.

Abstract: Provided are a battery and an electrical apparatus. The battery comprises: a case for accommodating battery cells; a first insulating component disposed in the case and sleeved on the battery cells, the first insulating component comprising a first substrate and a first extending portion extending from a surface of the first substrate toward the battery cells, and a second extending portion extending from an outer edge of the first substrate toward the battery cells, the first extending portion is used to position the battery cells, and an extension length of the second extending portion is greater than an extension length of the first extending portion.

Abstract: The present embodiments relate to an improved mobile cooling box with a latch handle module for opening the mobile cooling box, wherein the latch handle module is disposed in a lid for manually locking and unlocking the lid. At one edge the lid is hinged to the box main body so that the lid is pivotable from a closed position to an open position. The latch handle module is integrated in the lid and located at another side edge of the lid, opposite the hinge.

Abstract: A method for removing branches from trained deep learning models is provided. The method includes steps (i)-(v). In step (i), a trained model is obtained. The trained model has a branch structure involving one or more original convolutional layers and a shortcut connection. In step (ii), the shortcut connection is removed from the branch structure. In step (iii), a reparameterization model is built by linearly expanding each of the original convolutional layers into a reparameterization block in the reparameterization model. In step (iv), parameters of the reparameterization blocks are optimized by training the reparameterization model. In step (v), each of the optimized reparameterization blocks is transformed into a reparameterized convolutional layer to form a branchless structure that replaces the branch structure in the trained model.

Abstract: In an embodiment, a set of texts associated with a domain is received. A set of hypothesis statements associated with the domain is received. A pre-trained natural language inference (NLI) model is applied on each of the received set of texts and on each of the received set of hypothesis statements. A second text corpus associated with the domain is generated. The generated second text corpus corresponds to a set of labels associated with the domain. A few-shot learning model is applied on the generated second text corpus to generate a third text corpus associated with the domain. The generated third text corpus is configured to fine-tune the applied pre-trained NLI model, and the fine-tuned NLI model is configured to label an input text associated with the domain. A display of the labelled input text on a display device is controlled.

Abstract: Provided are a use of a thermoplastic polyurethane for forming an impact resistant layer and an impact resistant composite laminate. The thermoplastic polyurethane comprises a structural unit represented by Formula (I): wherein each R independently is an alkylene group having 2 to 8 carbon atoms or CH2CH2OCH2CH2; n is a number from 2 to 13; and the structural unit has a Mn ranging from 700 g/mole to 2500 g/mole. In addition, the impact resistant layer has a thickness of larger than 1.5 mm. The impact resistant composite laminate comprises a base layer and the impact resistant layer disposed on the base layer.

Abstract: An anti-peeping backlight module is formed by stacking an upper backlight module, a lower backlight module and a reflecting film disposed below the lower backlight module, wherein the upper backlight module is a transparent module, the lower backlight module is a transparent module or a non-transparent module, the upper backlight module is a collimating backlight module or a diffusion backlight module, the lower backlight module is a collimating backlight module or a diffusion backlight module, and the upper backlight module and the lower backlight module have different properties. The anti-peeping backlight module realizes beam splitting and collimation and can be used as various backlight modules, the beam splitting angle is adjustable, the efficiency is high, and can be controlled independently.

Abstract: A method for selectively chemically reducing CO2 to form CO includes providing a catalyst, and contacting H2 and CO2 with the catalyst to chemically reduce CO2 to form CO. The catalyst includes a metal oxide having a chemical formula of FexCoyMn(1-x-y)Oz, in which 0.7?x?0.95, 0.01?y?0.25, and z is an oxidation coordination number.

Abstract: A method of providing continuous user authentication for resource access control includes launching a continuous authentication service at a boot time of a first device, wherein the first device includes a processor, a memory, and one or more sensors configured to collect authentication information. Additionally, the method includes receiving authentication information comprising one or more of explicit authentication information or implicit authentication information, and receiving a request for access to a resource of the first device. Further, the method includes the operations of determining, by the continuous authentication service, a current value of a security state, the current value of the security state based in part on a time interval between a receipt time of the authentication information and a current time and controlling access to the resource based on the current value of the security state.

Abstract: A barrier structure for bearing a high-energy impact and construction method thereof are provided. The barrier structure includes a supporting pile array arranged between two opposite mountain slope surfaces. The supporting pile array is arranged in a straight line and includes two or more supporting piles. The two or more supporting piles are fixed at a lower part of a mountain. A barrier net is connected to the two or more supporting piles. The barrier net passes through the supporting pile array and extends to the two opposite mountain slope surfaces. The barrier net is fixed on the two opposite mountain slope surfaces. Pull plates are disposed on the two opposite mountain slope surfaces, and one side of each of the pull plates is fixed to a corresponding slope surface of the two opposite mountain slope surfaces through reverse prestressed anchor cables.

Abstract: Provided are a battery cell, a battery, and an electrical apparatus. The battery cell includes a case, an electrode assembly, a first electrode terminal, and a cover plate. The case includes a cylinder and a cover body that are integrally formed, and the cylinder has an opening at the end facing away from the cover body. The electrode assembly is accommodated in the case and includes a first tab. The first electrode terminal is arranged on the cover body and is configured for electrical connection with the first tab. The cover plate is connected to the cylinder and covers the opening. The first electrode terminal is mounted to the cover body, which can increase a distance between a joint between the cylinder and the cover plate and the first electrode terminal.

Abstract: The present invention provides a preparation method and use of a TNFR2 and APRIL/BAFF receptor protein fusion. Specifically, the present invention provides a fusion protein, the fusion protein comprising a TNFR2 extracellular segment and a BAFFR or BCMA or TACI extracellular segment. The fusion protein of the present invention inhibits TNF ?-induced inflammation, and also by means of combining with BAFF or APRIL, inhibits the activation of B cells, and plays a synergistic role with TNFR2, thus enhancing the effect of treating various autoimmune diseases.

Abstract: Methods and systems for frame rate scalability are described. Support is provided for input and output video sequences with variable frame rate and variable shutter angle across scenes, or for input video sequences with fixed input frame rate and input shutter angle, but allowing a decoder to generate a video output at a different output frame rate and shutter angle than the corresponding input values. Techniques allowing a decoder to decode more computationally-efficiently a specific backward compatible target frame rate and shutter angle among those allowed are also presented.

Abstract: Methods and systems for frame rate scalability are described. Support is provided for input and output video sequences with variable frame rate and variable shutter angle across scenes, or for input video sequences with fixed input frame rate and input shutter angle, but allowing a decoder to generate a video output at a different output frame rate and shutter angle than the corresponding input values. Techniques allowing a decoder to decode more computationally-efficiently a specific backward compatible target frame rate and shutter angle among those allowed are also presented.

Abstract: Disclosed are a control information sending method and detecting method, a base station, a terminal, and a computer storage medium. The method includes: a base station determining first-type physical layer control information, which is used for indicating a first-type control parameter of a second-type physical layer control channel; determining second-type physical layer control information, which is used for indicating a second-type control parameter of a data channel; sending the first-type physical layer control information; and sending the second-type physical layer control information on the second-type physical layer control channel.

Abstract: Aspects of the present disclosure provide an automated labeling system. For example, the automated labeling system can include an automated labeling module (ALM) configured to receive wireless signals and ground truth of learning object and label the wireless signals with the ground truth when receiving the ground truth to generate labeled training data. The automated labeling system can also include a training database coupled to the ALM. The training database can be configured to store the labeled training data.