An apparatus for vision and language-assisted smartphone task automation, includes a processor configured to execute instructions to identify whether an utterance of a user refers to one among at least one existing automation script, and based on the utterance being identified to not refer to the one among the at least one existing automation script, capture one or more screenshots and one or more coordinates of a display, the one or more screenshots and the one or more coordinates corresponding to one or more interactions of the user with the display while the user is demonstrating a new automation script, perform object detection and optical character recognition on the captured one or more screenshots and the captured one or more coordinates to obtain user interface (UI) elements corresponding to the one or more interactions, and obtain the new automation script, based on the obtained UI elements.

A method for recognizing vehicle license plate is provided, the method includes: performing vehicle license plate detection on a Nth image frame in a video stream to obtain a first vehicle license plate detection result which is used to indicate a position of the first vehicle license plate in the Nth image frame if the first vehicle license plate is included in the Nth image frame; segmenting a character region and a number region from the first vehicle license plate according to the position of the first vehicle license plate in the Nth image frame and content information of the first vehicle license plate if the first vehicle license plate is included in the Nth image frame; and recognizing the character region and the number region segmented from the first vehicle license plate to obtain a first recognition result of the first vehicle license plate.

A method and apparatus for adaptively displaying a handwriting input on an electronic device are provided. The method includes receiving a handwriting input from an electronic device, detecting handwriting features in the handwriting input and comparing the handwriting features with stored handwriting feature data, determining, according to a result of the comparing, whether a subject of the handwriting input is an existing user or a new user, and displaying, according to the determination, a subsequent handwriting input by the subject of the handwriting input to match a target handwriting input style.

Provided is a training method for a character generation model, and a character generation method, apparatus and device, which relates to the technical field of artificial intelligences, particularly, the technical field of computer vision and deep learning. The specific implementation schemes are: a source domain sample word and a target domain style word are input into the character generation model to obtain a target domain generation word; the target domain generation word and a target domain sample word are input into a pre-trained character classification model to calculate a feature loss of the character generation model; and a parameter of the character generation model is adjusted according to the feature loss.

An information processing apparatus includes a processor configured to: acquire, from results of character recognition performed on a target image including character strings, attribute information indicating an attribute to which a key character string and a value character string belong, the key character string as a character string specified beforehand as a key and the value character string as a character string indicating a value corresponding to the key character string; acquire by using the attribute information the key character string corresponding to the value character string extracted from the results of the character recognition; and output the key character string and the value character string corresponding to the key character string.

A system, method, and mobile device application are configured to capture, with a mobile device, a document such as a next generation sequencing (NGS) report that includes NGS medical information about a genetically sequenced patient. The method includes receiving, from a mobile device, an image of a medical document comprising NGS medical information of the patient, extracting a first region from the image, extracting NGS medical information of the patient from the first region into a structured dataset, the extracted NGS medical information including at least one RNA expression, correlating a portion of the extracted NGS medical information that includes the at least one RNA expression with summarized medical information from a cohort of patients similar to the patient, and generating, for display on the mobile device, a clinical decision support report comprising the summarized medical information.

A method for matching character strings to a reference character string, is disclosed. One or more processors receive a plurality of character strings. The one or more processors match each of the plurality of character strings to a main reference character string and registers a match to positions on the main reference character string that satisfy a pre-set match criteria. The one or more processors match each of the plurality of character strings to an alternate reference character string and registers a match to positions on the alternate reference character string that satisfy the pre-set match criteria. The alternate reference character string is derived from the main character string. The one or more processors identifies a match for each of the plurality of character strings that match to either a position on the main reference character string or the alternate reference character string.

The present invention discloses a method, a system and a computer program product for Contract management. The invention includes optical character recognition for extraction of data attributes from the contracts. The invention further provides AI engine configured for processing a contract creation request through a bot based on analysis of a set of parameters associated with the request.

A method includes displaying a cohort report; receiving a request to determine a therapy identification; causing information to be transmitted to a remote cloud server; receiving clinical trial data; and updating the cohort report. A computing system includes a processor; and a memory having stored thereon computer-executable instructions that, when executed by the one or more processors, cause the computing system to: display a cohort report; receive a request to determine a therapy identification; cause information to be transmitted to a remote cloud server; receive clinical trial data; and update the cohort report. A computer-readable medium having stored thereon a set of computer-executable instructions that, when executed by one or more processors, cause a computer to: display a cohort report; receive a request to determine a therapy identification; cause information to be transmitted to a remote cloud server; receive clinical trial data; and update the cohort report.

In the context of a co-browse session, one of the participants elects to include a screenshare task in which a screenshare of a browser window displaying a website will be provided to other participants of the co-browse session. When the screenshare task is started, a location of an address bar of the web browser is identified, optional pre-processing is applied to the image of the address bar, and a character recognition process, is used to determine the characters of the URL in the browser's address bar. The URL is compared with a list of allowed website URLs, and the screenshare session is selectively allowed only if the URL is contained in the list of allowed URLs. Once the URL has been approved, a slice of pixels the address bar is obtained and monitored for changes to the pixels that may indicate a change to the URL.