Abstract: Systems, methods, and computer program products for performing semi-supervised contrastive learning of visual representations are provided. For example, the present disclosure provides systems and methods that leverage particular data augmentation schemes and a learnable nonlinear transformation between the representation and the contrastive loss to provide improved visual representations. Further, the present disclosure also provides improvements for semi-supervised contrastive learning.

Abstract: Systems, methods, and computer program products for performing semi-supervised contrastive learning of visual representations are provided. For example, the present disclosure provides systems and methods that leverage particular data augmentation schemes and a learnable nonlinear transformation between the representation and the contrastive loss to provide improved visual representations. Further, the present disclosure also provides improvements for semi-supervised contrastive learning.

Abstract: A vehicle including a plurality of first motorized tiles and a vehicle elevator is disclosed. The plurality of first motorized tiles may be disposed in a vehicle interior portion. The plurality of first motorized tiles may be configured to move and secure a first bin of a first size and a second bin of a second size. The vehicle elevator may include a second motorized tile and a set of third motorized tiles. The second motorized tile may be configured to receive the second bin from the plurality of first motorized tiles and secure the second bin. The second motorized tile may be of a third size. Further, each third motorized tile may be configured to receive the first bin from the plurality of first motorized tiles and secure the first bin. Each third motorized tile may be of a fourth size.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a network output of high dimensional data comprising one or more output tokens. In one aspect, a system comprises a neural network system configured to initialize an analog bit representation of the network output comprising a set of continuous numeric values for each of the output tokens. The neural network system generates an updated analog bit representation that comprises a set of updated continuous numeric values. At each of a plurality of update iterations, the neural network system processes a diffusion input comprising the analog bit representation using a diffusion machine learning model to update the analog bit representation.

Abstract: Items are identified from one or more catalogues and images of the items are obtained. A dynamically rendered Virtual Reality (VR) store is constructed from the images and from images of objects/structures associated with a store. The item images that populate the VR store can be customized to a given customer and/or a given store. A VR session is established with a customer within the VR store, the item images can be selected, examined, and purchased during the session by the customer as the customer navigates through the VR store. Specialized rooms during the VR session allow the customer to interact in real time with other customers shopping via other VR sessions. The customer and other customers are rendered as avatars within the specialized room. A designated avatar or automated chatbot provides automated and real time assistance to the customer during the VR session.

Abstract: A system is configured to provide a dashboard creation system. Panels associated with queries for retrieving information from a database are shown in a user interface. Various other user interfaces show query code, panel display settings, function code, dependencies, etc. Queries in a first query format access a data source. Queries in a second query format access a cache database that is synchronized with the data source.

Abstract: An apparatus, system and method for detecting defects in building structures is provided. The apparatus includes a detector operable to determine an indication of the defect; and a transmitter operable to wirelessly transmit the indication from the apparatus to a central controller. The system includes the detection unit; a locator operable to determine the location of the detection unit; and a memory for storing the indication and the location in association with each other. The memory may be part of a central controller in wireless communication with the detection unit. The apparatus or central controller may include a processor operable to determine from a plurality of measurements performed by the detection unit a resultant measurement vector indicating a direction from the detection unit toward the defect. The detection unit may be operable to autonomously change its location. A display showing resultant measurement vectors at various locations can be produced.

Abstract: An apparatus, system and method for detecting defects in building structures is provided. The apparatus includes a detector operable to determine an indication of the defect; and a transmitter operable to wirelessly transmit the indication from the apparatus to a central controller. The system includes the detection unit; a locator operable to determine the location of the detection unit; and a memory for storing the indication and the location in association with each other. The memory may be part of a central controller in wireless communication with the detection unit. The apparatus or central controller may include a processor operable to determine from a plurality of measurements performed by the detection unit a resultant measurement vector indicating a direction from the detection unit toward the defect. The detection unit may be operable to autonomously change its location. A display showing resultant measurement vectors at various locations can be produced.