Abstract: Methods and systems, including computer programs encoded on computer storage media, for detecting fraudulent or suspicious transactions, e.g., in a business-to-business context. One of the methods includes: receiving, at an ingestion engine, raw data from a plurality of heterogeneous data sources; using the ingestion engine to produce structured object data, the structured object data derived from the raw data; applying a classification service to produce a partial fingerprint from the structured object data wherein the partial fingerprint classifies the structured object data; applying a fingerprinting process to the partial fingerprint to produce a full fingerprint for the structured object data; applying an enrichment engine to add data to the full fingerprint to produce an enriched fingerprint for the structured object data; and applying a verdict engine to determine a verdict on the object based at least in part on the enriched fingerprint for the structured object data.

Abstract: Aspects and implementations of the present disclosure relate, generally, to optimization of the autonomous vehicle technology and, more specifically, to a transfer hub for autonomous trucking operations. The transfer hub supports automated trailer delivery, trailer-tractor matching, trailer-tractor hitching, automated post-hitching visual inspection, automated refueling, parking spot calibration, load verification, load distribution assessment, automated brake inspection, and other improvements to the existing technology.

Abstract: Aspects and implementations of the present disclosure relate, generally, to optimization of the autonomous vehicle technology and, more specifically, to a transfer hub for autonomous trucking operations. The transfer hub supports automated trailer delivery, trailer-tractor matching, trailer-tractor hitching, automated post-hitching visual inspection, automated refueling, parking spot calibration, load verification, load distribution assessment, automated brake inspection, and other improvements to the existing technology.

Abstract: A user may indicate an interest relating to events such as objects, persons, or activities, where the events included in content depicted in a video. The user may also indicate a configurable action associated with the user interest, including receiving a notification via an electronic device. A video item, for example a live-streaming sporting event, may be broken into frames and analyzed frame-by-frame to determine a region of interest. The region of interest is then analyzed to identify objects, persons, or activities depicted in the frame. In particular, the region of interest is compared to stored images that are known to depict different objects, persons, or activities. When a region of interest is determined to be associated with the user interest, the configurable action is triggered.

Abstract: Systems, methods, and computer-readable media are disclosed for detecting a mismatch between the spoken language in an audio file and the audio language that is tagged as the spoken language in the audio file metadata. Example methods may include receiving a media file including spoken language metadata. Certain methods include generating an audio sample from the media file. Certain methods include generating a text translation of the audio sample based on the spoken language metadata. Certain methods include determining that the spoken language metadata does not match a spoken language in the audio sample based on the text translation. Certain methods include sending an indication that the spoken language metadata does not match the spoken language.

Abstract: A user may indicate an interest relating to events such as objects, persons, or activities, where the events included in content depicted in a video. The user may also indicate a configurable action associated with the user interest, including receiving a notification via an electronic device. A video item, for example a live-streaming sporting event, may be broken into frames and analyzed frame-by-frame to determine a region of interest. The region of interest is then analyzed to identify objects, persons, or activities depicted in the frame. In particular, the region of interest is compared to stored images that are known to depict different objects, persons, or activities. When a region of interest is determined to be associated with the user interest, the configurable action is triggered.

Abstract: Embodiments of the present invention may provide a apparatus and method for compressing image data by dividing the data into color components data streams, taking the differences between successive pixels in the data streams, and coding these differences into a compressed data stream using a Huffman coding scheme. The compressed data may be transmitted to a decompressor over an interface. The decompressor may divide the compressed data stream back into color component data streams and decompress the pixels by adding the coded differences to reference values corresponding to previously decompressed pixels of the same color component to generate successive pixels of that color component. Merge registers may then recombined the decompressed data into the original image data. According to embodiments of the present invention, the compression/decompression process may be lossless.