Abstract: A decorative film for insert molding includes a gravure-printed graphic layer and a light-transmissive patterned layer and has high dimensional accuracy and delicate and rich tone expression. A multilayer film includes first and second layers containing an acrylic-based resin, and a polycarbonate resin layer located between the first and second layers and containing a polycarbonate-based resin. The multilayer film is transmissive to visible light. A first gravure print layer is located on a first main surface of the multilayer film, includes a first graphic layer, and is transmissive. A backer film contains a polycarbonate-based resin and is transmissive. The first graphic layer includes a first image at a predetermined position in a three-dimensional shape of a decorative film formed in the three-dimensional shape. A patterned layer includes a pattern patterned to allow visible light to pass through the first image at the predetermined position in the three-dimensional shape.

Abstract: The present disclosure relates to systems and methods that use an artificial intelligence (AI) model to generate outputs that can be evaluated to predict which logged entry items match entry request record line items of an entry request record. Additionally, the present disclosure relates to systems and methods for intelligently detecting anomalies within data sets.

Abstract: The present disclosure relates to systems and methods that use an artificial intelligence (AI) model to generate outputs that can be evaluated to predict which logged entry items match entry request record line items of an entry request record. Additionally, the present disclosure relates to systems and methods for intelligently detecting anomalies within data sets.

Abstract: The present disclosure relates to systems and methods that use an artificial intelligence (AI) model to generate outputs that can be evaluated to predict which logged entry items match entry request record line items of an entry request record. Additionally, the present disclosure relates to systems and methods for intelligently detecting anomalies within data sets.

Abstract: The present disclosure relates to systems and methods that use an artificial intelligence (AI) model to generate outputs that can be evaluated to predict which logged entry items match entry request record line items of an entry request record. Additionally, the present disclosure relates to systems and methods for intelligently detecting anomalies within data sets.