Abstract: A computing system including a plurality of processing devices configured to execute a Mixture-of-Experts (MoE) layer. The processing devices are configured to execute the MoE layer at least in part by receiving an input tensor including input tokens. Executing the MoE layer further includes computing a gating function output vector based on the input tensor and computing a sparse encoding of the input tensor and the gating function output vector. The sparse encoding indicates one or more destination expert sub-models. Executing the MoE layer further includes dispatching the input tensor for processing at the one or more destination expert sub-models, and further includes computing an expert output tensor. Executing the MoE layer further includes computing an MoE layer output at least in part by computing a sparse decoding of the expert output tensor. Executing the MoE layer further includes conveying the MoE layer output to an additional computing process.

Abstract: New antibodies and methods of use are described.

Abstract: A method for positioning tea-bud picking points based on fused thermal images and RGB images is provided and includes: firstly, image pairs of several tea buds are acquired by using an image acquisition device, and are each labeled to obtain a tea-bud object detection database and a tea-bud keypoint detection database; secondly, in order to obtain a trained object detection model and a trained keypoint detection model, the tea-bud object detection database and the tea-bud keypoint detection database are inputted into an object detection model and a keypoint detection model for training, respectively; finally, the trained object detection model and keypoint detection model are used to sequentially process the tea-bud image pairs to obtain tea-bud keypoint positions, and then tea-bud picking point positions are obtained in combination with the tea-bud growth characteristics. The positioning accuracy and efficiency of the tea-bud picking points can be improved.

Abstract: Antibodies that bind to ?v?8 are provided.

Abstract: The present invention discloses a physical embedded deep learning formation pressure prediction method, device, medium and equipment, the present invention characterizes seismic attenuation by logging impedance quality factor Q, based on the Q value and rock physics model of formation pressure, the physical mechanism of this kind of certainty replace Caianiello convolution neurons of the nonlinear activation function, using the convolution neurons, build deep learning convolution neural networks (CCNNs), can greatly increase the stress inversion precision and learning efficiency, get accurate formation pressure prediction results. Compared with the prior art, the present invention uses acoustic attenuation instead of the traditional acoustic velocity to characterize formation pressure, and solves the problem that the traditional pressure prediction method based on velocity has strong multiple solutions due to high gas content and complex structure.

Abstract: Antibodies that bind to ???8 are provided.

Abstract: New antibodies and methods of use are described.

Abstract: Provided herein are compositions including lipids and copolymers in the form of a nanodisc assembly. The subject copolymers include monomer units of styrene and monomer units selected from acrylic acid and an acrylic acid derivative. In certain cases, the copolymer is a copolymer of styrene and acrylic acid. Also provided herein, is an aqueous solution comprising the subject composition. Also provided herein, are methods for producing a nanodisc assembly, including incubation of a lipid and a subject copolymer. Further provided herein, are methods for solubilizing a membrane protein in an aqueous solution, wherein the method includes forming a nanodisc assembly of a lipid bilayer having one or more membrane proteins embedded therein, and a subject copolymer. Also provided are methods of solubilizing a hydrophobic constituent in an aqueous solution, including forming a nanodisc assembly of a lipid, a hydrophobic constituent, and a subject copolymer.

Abstract: Herein are innovations that enable facile cryo-EM analysis of diverse samples. Methods of functionalizing sample grids for cryo-EM are described, including methods of creating high quality graphene oxide films on cryo-EM substrates. The cryo-EM sample substrates are functionalized with affinity molecules that efficiently concentrate sample molecules and other specimen types on the grid, away from the air-water interface. Affinity groups include amines and proteins such as tagging system proteins and peptides that can be used to capture diverse sample types with high affinity. Optionally, spacers such as PEG chains are used to place sample particles away from the substrate surface, reducing substrate-induced artifacts.

Abstract: Antibodies that bind to ?v?8 are provided.

Abstract: New antibodies and methods of use are described.

Abstract: Provided is an antibody that specifically binds human ?v?? and blocks binding of TGFp peptide to ?v?8, wherein the antibody binds to the specificity determining loop (SDL) of human ?8. In some embodiments, the antibody further binds to one, two, or all three of the human av-head domain, the al helix of human ?8, or the al helix of human ?8. In some embodiments, the antibody is humanized or chimeric. In some embodiments, the antibody is linked to a detectable label. Also provided is a method of enhancing an immune response in a human individual, comprising administering a sufficient amount of the antibody to the individual, thereby enhancing an immune response. Also provided are pharmaceutical compositions comprising the anti-?v?? antibodies or antigen-binding molecules thereof.

Abstract: Provided is an antibody that specifically binds human ?v?? and blocks binding of TGFp peptide to ?v?8, wherein the antibody binds to the specificity determining loop (SDL) of human ?8. In some embodiments, the antibody further binds to one, two, or all three of the human av-head domain, the al helix of human ?8, or the al helix of human ?8. In some embodiments, the antibody is humanized or chimeric. In some embodiments, the antibody is linked to a detectable label. Also provided is a method of enhancing an immune response in a human individual, comprising administering a sufficient amount of the antibody to the individual, thereby enhancing an immune response. Also provided are pharmaceutical compositions comprising the anti-?v?? antibodies or antigen-binding molecules thereof.