Adobe, Inc.

Nxp Usa, Inc.

Deepak Kumar

Varun Dua

Suvrat Chaturvedi

Mandeep Gandhi

Prabhjot Singh

Ankur Jain

Saurabh Garg

Deepansh Rawal

Aditi Jain

Wasim Khan

Shubhi Rastogi

Varun Sethi

Hyder Ziaee

Akshay Sethi

Vikas Patidar

Saswata Dutta

Shivani Jaiswal

A method to retrieve transaction address resulting in PCIe completion timeout includes monitoring a Peripheral Component Interconnect Express (PCIe) controller to detect a Completion Timeout (CTO) transmitted therefrom. A Master Identification (ID) of a Master and a transaction address of a transaction are stored in a configuration space, in response to detecting the CTO, wherein the transaction originates from the Master and the CTO is signaled in response to the transaction. The CTO is responded to with the Master identified by the Master ID in the configuration space.

Method to retrieve transaction address resulting in an uncorrectable PCIe error

Various embodiments, methods and systems for implementing a form generation system are provided. Generating forms includes dynamic generation, personalization, and optimization of the forms based on automation objects that instruct on how to construct, structure and present forms for personalized data capture experiences. In operation, a form generator engine receives a request from a computing device to access a form. The form generator engine accesses form generation automation rules that are based on form generation parameters and automation objects. Using form generation automation rules, form generation parameters are used to generate automation objects including an annotated schema, a machine learning model, and a layout. Based on the form generation automation rules the automation objects are used to generate the form such that at least a field or a section of the form is selected based on a relevance score associated with field or section. The form is communicated for display.

Automated form generation system

Analytics system onboarding of web content is described. In one example, an analytics onboarding system is configured to process web content to generate recommendations, automatically and without user intervention. The recommendations are configured to assist in mapping of web content variables in web content to data elements supported by an analytics system to generate metrics that describe occurrence of events as part of user interaction with web content.

Analytics system onboarding of web content

The conversion quality evaluation system may evaluate the conversion quality of digital forms digitized from paper forms. The system may attribute multiple labels and respective confidence scores to form objects in a form, and aggregate information of form objects to form a conversion index, which is a measurement of conversion quality of the form. The conversion index may comprise various characteristics of the form, including cost of correction, accessibility, content reusability, or device readiness. As such, the conversion quality evaluation system can sort digital forms based on their conversion quality and provide guidance for post-digitization activities.

Conversion quality evaluation for digitized forms

Electronic form creation techniques are disclosed which automatically recommend candidate form objects to include in an electronic form being created. In some examples, a method may include receiving a request to create an electronic form, identifying a preceding N form objects created in the electronic form, identifying a candidate form object based on the identified preceding N form objects and one or more relationships between pre-existing form objects, and recommending the candidate form object for creation in the electronic form. The pre-existing form objects are included in multiple pre-existing forms. The method may further include identifying the one or more relationships between pre-existing form objects. The pre-existing forms may be selected, for example, based on information associated with the request (e.g., form type, an ID indicating identity of author creating the form, and/or ID indicating identity of a group to which the form author belongs).

Intelligent form creation

Electronic form generation techniques are disclosed which automatically generate an electronic form based on a paper form by semantically mapping form fields. An example method may include identifying a data field in a paper form, extracting a semantic meaning of the data field, searching multiple data elements to identify a data element that semantically matches the data field, and, responsive to identifying a semantically matching data element, generating a data field in the electronic form based on the semantically matched data element and the associated one or more digital data capture constructs. Each data element may have associated therewith one or more digital data capture constructs. The generated data field in the electronic form corresponds to the data field in the paper form.

Semantic mapping of form fields

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Noida, India

Deepak Kumar