Abstract: Techniques are described herein for iterative code generation using neural language models. In various implementations, an original source code snippet in a first programming language may be processed using a translation machine learning model to generate a first translation of the original source code snippet in a second programming language. The first translation of the original source code snippet may be evaluated to identify error(s) in the first translation. Based on the error(s), respective mask(s) may be inserted to generate a masked first translation of the original source code snippet in the second programming language. The masked first translation of the original source code snippet may be processed using the translation machine learning model to generate a second translation of the original source code snippet in the second language. The second translation may include infill(s) of corrected source code in place of one or more of the masks.

Abstract: A method includes receiving data characterizing a query for information associated with a first item of a plurality of items in an item catalog. The method also includes determining an attribute of the first item. The determining can be performed using a predictive model trained using question-answer pair data associated with a portion of the plurality of items. The portion can include a second item. The method can further include determining an attribute value of the attribute using a mapping of attributes and attribute values associated with the plurality of items in the item catalog. The method can also include providing, as an answer to the query, a characterization of the attribute value. Related systems, methods, apparatus, and computer readable mediums are also described.

Abstract: A method includes receiving data characterizing a query for information associated with a first item of a plurality of items in an item catalog. The method also includes determining an attribute of the first item. The determining can be performed using a predictive model trained using question-answer pair data associated with a portion of the plurality of items. The portion can include a second item. The method can further include determining an attribute value of the attribute using a mapping of attributes and attribute values associated with the plurality of items in the item catalog. The method can also include providing, as an answer to the query, a characterization of the attribute value. Related systems, methods, apparatus, and computer readable mediums are also described.

Abstract: An inspecting system for security documents is disclosed, wherein a rotating cylinder provided with transparent sectors is apt to transport the document past an image acquiring device, and in which a transparency inspecting device is placed partially inside and partially outside the cylinder so that the electromagnetic inspecting beam is intercepted by the documents held lying onto the transparent sectors. Further, the inspecting system is provided with shading elements, in the optical pattern, apt to define a cone of shade only in correspondence of sensitive elements of a camera.

Abstract: An inspecting system for security supports is disclosed, wherein a rotating cylinder provided with transparent sectors is apt to transport the support past an image acquiring device, and in which a transparency inspecting device is placed partially inside and partially outside the cylinder so that the electromagnetic inspecting beam is intercepted by the supports held lying onto the transparent sectors. Further, the inspecting system is provided with shading elements, in the optical pattern, apt to define a cone of shade only in correspondence of sensitive elements of a camera.