Abstract: Inducible engineered tissue constructs comprising at least one cell population comprising a genetic construct are provided. Methods of making and using said constructs are also provided.

Abstract: Embodiments of the disclosure are in the field of advanced integrated circuit structure fabrication and, in particular, 10 nanometer node and smaller integrated circuit structure fabrication and the resulting structures. In an example, an integrated circuit structure includes a fin. A first isolation structure separates a first end of a first portion of the fin from a first end of a second portion of the fin, the first end of the first portion of the fin having a depth. A gate structure is over the top of and laterally adjacent to the sidewalls of a region of the first portion of the fin. A second isolation structure is over a second end of a first portion of the fin, the second end of the first portion of the fin having a depth different than the depth of the first end of the first portion of the fin.

Abstract: A head-mountable device can include a display, a housing, a processor, and a camera module. The camera module can include a lens assembly, an optical sensor, a substrate, and a motion sensor attached to the camera module to determine a motion of the camera module. The processor can be communicatively coupled to the motion sensor, and can generate a signal based on the motion.

Abstract: Embodiments of the disclosure are in the field of advanced integrated circuit structure fabrication and, in particular, 10 nanometer node and smaller integrated circuit structure fabrication and the resulting structures. In an example, a method includes forming a plurality of fins and forming a plurality of gate structures over the plurality of fins. A dielectric material structure is formed between adjacent ones of the plurality of gate structures. A portion of a first of the plurality of gate structures is removed to expose a first portion of each of the plurality of fins, and a portion of a second of the plurality of gate structures is removed to expose a second portion of each of the plurality of fins. The exposed first portion of each of the plurality of fins is removed, but the exposed second portion of each of the plurality of fins is not removed.

Abstract: The present invention is directed to computer storage systems and methods thereof. In an embodiment, a memory system comprises a controller module, a nonvolatile memory, and a volatile memory. The controller module operates according to a command and operation table. The command and operation table can be updated to change the way controller module operates. When the command and operation table is updated, the updated table is stored at a predefined location of the nonvolatile memory. There are other embodiments as well.

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: In an example method, a request for a dynamic access link is received from a first device. The request includes data identifying a first network resource. A subject associated with the first network resource is identified, and one or more additional network resources pertaining to the subject are determined. The dynamic access link is determined, and the dynamic access link is provided to the first device. A network resource access request is received from a second device. The network resource access request is generated responsive to the dynamic access link being selected. Responsive to receiving the network resource access request, at least one of the first resource or the one or more additional network resources is chosen, and a network address of the chosen resource is provided to the second device.

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: In an example method, a request for a dynamic access link is received from a first device. The request includes data identifying a first network resource. A subject associated with the first network resource is identified, and one or more additional network resources pertaining to the subject are determined. The dynamic access link is determined, and the dynamic access link is provided to the first device. A network resource access request is received from a second device. The network resource access request is generated responsive to the dynamic access link being selected. Responsive to receiving the network resource access request, at least one of the first resource or the one or more additional network resources is chosen, and a network address of the chosen resource is provided to the second device.

Abstract: In an example method, a request for a dynamic access link is received from a first device. The request includes data identifying a first network resource. A subject associated with the first network resource is identified, and one or more additional network resources pertaining to the subject are determined. The dynamic access link is determined, and the dynamic access link is provided to the first device. A network resource access request is received from a second device. The network resource access request is generated responsive to the dynamic access link being selected. Responsive to receiving the network resource access request, at least one of the first resource or the one or more additional network resources is chosen, and a network address of the chosen resource is provided to the second device.

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.