Abstract: Systems and methods herein describe generating a mixture of experts (MoE) models for image classification. The systems and methods include training a plurality of neural network models as experts, wherein the experts are trained to predict an image class, to predict amenities present in the image, to predict location categories in the image, or a combination thereof. The system and methods additionally include training experts based on input differentiation. The system and methods also include training experts having different model architectures or variants of model architectures, and combining the trained experts into an ensemble model. The ensemble model can then be used to classify new images.

Abstract: A waveguide for a display system includes a waveguide body extending from an input end to an output end and configured to guide light by total internal reflection from the input end to the output end, a first array of partial reflectors disposed within a first strata of the waveguide body, and a second array of partial reflectors disposed within a second strata of the waveguide body overlying the first strata.

Abstract: The disclosed method may include providing, by a folding mirror region of a waveguide, two or more paths for light rays from an input mirror of the waveguide to an eye box of the waveguide. The method may also include supporting, by an output mirror of the waveguide, a field of view of at least sixty degrees by at least fifty degrees. The waveguide may correspond to a two-dimensional geometrical waveguide and the folding mirror region may fit entirely within a lens shape of the waveguide. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Systems and methods herein describe ranking reviews that specify details of a host user. The described systems and methods access a set of reviews associated with a host user and listing data, and for each review in the set of reviews, generate a first relevancy score associated with the host user and a second relevancy score associated with the listing data using a transformer machine learning model, determine a first rank score for the review based on the first relevancy score. The systems and methods cause display of the set of reviews in an order based on the associated first rank score on a graphical user interface of a computing device.

Abstract: This disclosure generally relates to an oxide composition basically composed of cerium and zirconium that has exceptional and stable porosity, surface area and lattice oxygen mobility. The oxide composition can contain one or more other rare earth oxides other than cerium oxide. For example, some compositions can contain one or more of lanthanum oxide, yttrium oxide and neodymium oxide. The oxide composition can be useful as a catalyst, catalyst support, sensor applications and combinations thereof.

Abstract: This disclosure generally relates to an oxide composition basically composed of cerium and zirconium that has exceptional and stable porosity, surface area and lattice oxygen mobility. The oxide composition can contain one or more other rare earth oxides other than cerium oxide. For example, some compositions can contain one or more of lanthanum oxide, yttrium oxide and neodymium oxide. The oxide composition can be useful as a catalyst, catalyst support, sensor applications and combinations thereof.

Abstract: A massage unit wherein at least some of the massage heads are pivotally moveable in an arc about an axis in a plane generally parallel to the front face of the massage unit and the massage heads are independently moveable in a direction generally perpendicular to the front face.

Abstract: A massage unit wherein at least some of the massage heads move in an alternating direction so as to define alternating cooperating pairs of massage heads is provided.