Abstract: A process for preparing C2 to C4 hydrocarbons includes introducing a feed stream including hydrogen gas and a carbon-containing gas selected from the group consisting of carbon monoxide, carbon dioxide, and mixtures thereof into a reaction zone of a reactor, and converting the feed stream into a product stream including C2 to C4 hydrocarbons in the reaction zone in the presence of a formed hybrid catalyst. The formed hybrid catalyst includes a metal oxide catalyst component including gallium oxide and zirconia, a microporous catalyst component that is a molecular sieve having 8-MR (Membered Ring) pore openings, and a binder including alumina, zirconia, or both.

Abstract: A process for preparing C2 to C4 hydrocarbons includes introducing a feed stream including hydrogen gas and a carbon-containing gas selected from the group consisting of carbon monoxide, carbon dioxide, and mixtures thereof into a reaction zone of a reactor, and converting the feed stream into a product stream including C2 to C4 hydrocarbons in the reaction zone in the presence of a formed hybrid catalyst. The formed hybrid catalyst includes a metal oxide catalyst component including gallium oxide and zirconia, a microporous catalyst component that is a molecular sieve having 8-MR (Membered Ring) pore openings, and a binder including alumina, zirconia, or both.

Abstract: The present invention relates to IRAKIMiD degraders, their liquid formulations, and methods of use thereof for treating cancer.

Abstract: Efficient and scalable three-dimensional point cloud segmentation. In an embodiment, a three-dimensional point cloud is segmented by adding points to a spatial hash. For each unseen point, a cluster is generated, the unseen point is added to the cluster and marked as seen, and, for each point that is added to the cluster, the point is set as a reference, a reference threshold metric is computed, all unseen neighbors are identified based on the reference threshold metric, and, for each identified unseen neighbor, the unseen neighbor is marked as seen, a neighbor threshold metric is computed, and the neighbor is added or not added to the cluster based on the neighbor threshold metric. When the cluster reaches a threshold size, it may be added to a cluster list. Objects may be identified based on the cluster list and used to control autonomous system(s).

Abstract: Efficient and scalable three-dimensional point cloud segmentation. In an embodiment, a three-dimensional point cloud is segmented by adding points to a spatial hash. For each unseen point, a cluster is generated, the unseen point is added to the cluster and marked as seen, and, for each point that is added to the cluster, the point is set as a reference, a reference threshold metric is computed, all unseen neighbors are identified based on the reference threshold metric, and, for each identified unseen neighbor, the unseen neighbor is marked as seen, a neighbor threshold metric is computed, and the neighbor is added or not added to the cluster based on the neighbor threshold metric. When the cluster reaches a threshold size, it may be added to a cluster list. Objects may be identified based on the cluster list and used to control autonomous system(s).

Abstract: Efficient and scalable three-dimensional point cloud segmentation. In an embodiment, a three-dimensional point cloud is segmented by adding points to a spatial hash. For each unseen point, a cluster is generated, the unseen point is added to the cluster and marked as seen, and, for each point that is added to the cluster, the point is set as a reference, a reference threshold metric is computed, all unseen neighbors are identified based on the reference threshold metric, and, for each identified unseen neighbor, the unseen neighbor is marked as seen, a neighbor threshold metric is computed, and the neighbor is added or not added to the cluster based on the neighbor threshold metric. When the cluster reaches a threshold size, it may be added to a cluster list. Objects may be identified based on the cluster list and used to control autonomous system(s).

Abstract: Efficient and scalable three-dimensional point cloud segmentation. In an embodiment, a three-dimensional point cloud is segmented by adding points to a spatial hash. For each unseen point, a cluster is generated, the unseen point is added to the cluster and marked as seen, and, for each point that is added to the cluster, the point is set as a reference, a reference threshold metric is computed, all unseen neighbors are identified based on the reference threshold metric, and, for each identified unseen neighbor, the unseen neighbor is marked as seen, a neighbor threshold metric is computed, and the neighbor is added or not added to the cluster based on the neighbor threshold metric. When the cluster reaches a threshold size, it may be added to a cluster list. Objects may be identified based on the cluster list and used to control autonomous system(s).

Abstract: Efficient and scalable three-dimensional point cloud segmentation. In an embodiment, a three-dimensional point cloud is segmented by adding points to a spatial hash. For each unseen point, a cluster is generated, the unseen point is added to the cluster and marked as seen, and, for each point that is added to the cluster, the point is set as a reference, a reference threshold metric is computed, all unseen neighbors are identified based on the reference threshold metric, and, for each identified unseen neighbor, the unseen neighbor is marked as seen, a neighbor threshold metric is computed, and the neighbor is added or not added to the cluster based on the neighbor threshold metric. When the cluster reaches a threshold size, it may be added to a cluster list. Objects may be identified based on the cluster list and used to control autonomous system(s).

Abstract: Systems, methods, and devices are disclosed for rendering computer graphics. In various embodiments, a displacement map is created for a plurality of surfaces and a tessellation process is initiated. It is determined that the tessellation density of a first set of surfaces and a second set of surfaces should be modified based on the displacement map. Based on the displacement map, a tessellation factor scale for each surface of the first set of surfaces is increased and a tessellation factor scale for each surface of the second set of surfaces is decreased, respectively.

Abstract: Efficient and scalable three-dimensional point cloud segmentation. In an embodiment, a three-dimensional point cloud is segmented by adding points to a spatial hash. For each unseen point, a cluster is generated, the unseen point is added to the cluster and marked as seen, and, for each point that is added to the cluster, the point is set as a reference, a reference threshold metric is computed, all unseen neighbors are identified based on the reference threshold metric, and, for each identified unseen neighbor, the unseen neighbor is marked as seen, a neighbor threshold metric is computed, and the neighbor is added or not added to the cluster based on the neighbor threshold metric. When the cluster reaches a threshold size, it may be added to a cluster list. Objects may be identified based on the cluster list and used to control autonomous system(s).

Abstract: A system has a central processing unit (CPU) and a graphics processing unit (GPU) that includes one or more registers. The GPU can change a resource descriptor in one of the GPU's registers. It is emphasized that this abstract is provided to comply with the rules requiring an abstract that will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: Systems, methods, and devices are disclosed for rendering computer graphics. In various embodiments, a displacement map is created for a plurality of surfaces and a tessellation process is initiated. It is determined that the tessellation density of a first set of surfaces and a second set of surfaces should be modified based on the displacement map. Based on the displacement map, a tessellation factor scale for each surface of the first set of surfaces is increased and a tessellation factor scale for each surface of the second set of surfaces is decreased, respectively.

Abstract: A method for processing graphics for a GPU program, translating instructions from a shading language into an intermediate language with a front end of a GPU compiler; translating the instructions from the intermediate language into a GPU object language with a back end of the GPU compiler; wherein the instructions in the shading language include instructions defining a layout of resources for the GPU program.

Abstract: A system has a central processing unit (CPU) and a graphics processing unit (GPU) that includes one or more registers. The GPU can change a resource descriptor in one of the GPU's registers. It is emphasized that this abstract is provided to comply with the rules requiring an abstract that will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: A method for processing graphics for a GPU program, translating instructions from a shading language into an intermediate language with a front end of a GPU compiler; translating the instructions from the intermediate language into a GPU object language with a back end of the GPU compiler; wherein the instructions in the shading language include instructions defining a layout of resources for the GPU program.

Abstract: An edge coated glass polarized lens includes a lens body and an edge coating made from a UV curable material having a composition including: an aliphatic polyesterpolyol based urethane methacrylate formed by reaction of reactants including an aliphatic polyesterpolyol, a hydroxyalkyl methacrylate, and a diisocyanate, and having a number average molecular weight ranging from 800 to 4500; a reactive diluent including a methacrylate monomer; an adhesion enhancer including a silane material selected from methacrylate-functional silane, amino methacrylate-functional silane, vinyl-functional silane, and combinations thereof; and a photo initiator.