Abstract: Provided is a method of activating a recombinant immune cell expressing a synthetic receptor comprising an intracellular domain derived from killer cell immunoglobulin-like receptor 4 (KIR2DL4). Synthetic receptors described herein allow for the activation of recombinant immune cells against an antigen of interest without the deleterious effects of immune cell hyperactivation by existing CARs. The recombinant immune cells can thus be used to in the treatment of cancers or infectious diseases in subjects in need thereof, while limiting the hyperactivation of an immune response associated with traditional recombinant cell-based therapies.

Abstract: The technology disclosed relates to deduplicating metadata about places. A feature generator module is configured to generate features for metadata profiles. The metadata profiles represent a plurality of places. The features are based on geohash strings and word embeddings generated for the metadata profiles. A diff generator module is configured to generate diff vectors that pair-wise encode results of comparison between features of paired metadata profiles. A classification module is configured to generate similarity scores for the paired metadata profiles based on the diff vectors. A particular similarity score indicates whether metadata profiles in a particular pair of metadata profiles represent a same place.

Abstract: The technology disclosed relates to deduplicating metadata about places. A feature generator module is configured to generate features for metadata profiles. The metadata profiles represent a plurality of places. The features are based on geohash strings and word embeddings generated for the metadata profiles. A diff generator module is configured to generate diff vectors that pair-wise encode results of comparison between features of paired metadata profiles. A classification module is configured to generate similarity scores for the paired metadata profiles based on the diff vectors. A particular similarity score indicates whether metadata profiles in a particular pair of metadata profiles represent a same place.

Abstract: The technology disclosed uses machine learning-based models to compare and merge metadata profiles from various metadata sources to create a library of metadata profiles with the most accurate attributes. The technology disclosed adjusts the geospatial coordinates of places located inside a building structure for accuracy and defines a block for each place within the perimeter of the building structure. The building structure may host a single place or multiple places. The non-overlapping blocks, the adjusted geospatial coordinates of places and more accurate metadata profiles enable the gathering of accurate location-specific data from visitors inside the building structures through their personal devices.

Abstract: The technology disclosed uses machine learning-based models to compare and merge metadata profiles from various metadata sources to create a library of metadata profiles with the most accurate attributes. The technology disclosed adjusts the geospatial coordinates of places located inside a building structure for accuracy and defines a block for each place within the perimeter of the building structure. The building structure may host a single place or multiple places. The non-overlapping blocks, the adjusted geospatial coordinates of places and more accurate metadata profiles enable the gathering of accurate location-specific data from visitors inside the building structures through their personal devices.