Abstract: Disclosed is a method of artificial intelligence-based robotic pipetting for cell preparation. The method includes training an artificial intelligence/machine learning system (AI/ML system) to classify images of biological specimens. The method includes storing the classified images. The method includes receiving an image object from an imaging system that includes a microscopy system, a camera system configured to receive imaging from the microscopy system, and a lighting system configured to illuminate a biological material. The method includes processing the image object, using the AJ/ML system to determine a presence of a retrievable target cell. The method includes positioning a robotic pipettor at a target physical orientation relative to the retrievable target cell. The method includes confirming the robotic pipettor's location at the target physical orientation, using AI/ML system.

Abstract: A method for automated ICSI includes receiving at least one droplet containing an egg in a dish placed on a stage. The method includes using an artificial intelligence/machine learning system (AI/ML system) and an imaging system to detect a zona pellucida. The imaging system includes a microscopy system, a camera system, and a lighting system. The method includes holding the egg using a robotic microtool and lowering a robotic pipettor into the droplet. The method includes using the AI/ML system and imaging system to determine an area at which to hold the egg and positioning the robotic microtool to that area. The method includes using the AI/ML system and imaging system to instruct the robotic microtool to apply negative pressure to hold the egg to the robotic pipettor. The method includes using the AI/ML system and imaging system to determine a target location where zona ablation should be performed.

Abstract: Disclosed is a method of artificial intelligence-based robotic pipetting for cell preparation. The method includes training an artificial intelligence/machine learning system (AI/ML system) to classify images of biological specimens. The method includes storing the classified images. The method includes receiving an image object from an imaging system that includes a microscopy system, a camera system configured to receive imaging from the microscopy system, and a lighting system configured to illuminate a biological material. The method includes processing the image object, using the AJ/ML system to determine a presence of a retrievable target cell. The method includes positioning a robotic pipettor at a target physical orientation relative to the retrievable target cell. The method includes confirming the robotic pipettor's location at the target physical orientation, using AI/ML system.

Abstract: The subject matter of this specification can be implemented in, among other things, methods, systems, computer-readable storage medium. A method includes receiving first image data comprising one or more image frames indicative of a state of a meal preparation area. The method further includes determining, based on the first image data, a first set of one or more detections each indicating at least one of a detected meal preparation item or a detected meal preparation action associated with the state of the meal preparation area. The method further includes receiving order data indicating a plurality of pending meal orders and determining associated meal preparation constraints. The method further includes determining, based on the meal preparation constraints, a first association between the first set of detections and a first pending meal order of the plurality of pending meal orders and performing an action based on the first association.

Abstract: To communicate with a software application, internal data of the software application is exposed or otherwise made accessible responsive to injection of computer readable program code comprising a scripting engine into a runtime environment associated with the software application. Computer readable program code comprising a script in accordance with the internal data is loaded. The script is interpretable by the scripting engine for execution with existing code of the software application to alter operation thereof without modification of the existing code. Related methods, systems, and computer program products are also discussed.

Abstract: Systems and methods for targeting online advertisements using data derived from social networks are provided.

Abstract: Methods and systems for providing social networking-based advertisements are provided. In accordance with some embodiments, methods for providing social networking-based advertisements to users are provided, the method comprising: collecting user information relating to a user from a user profile on a social networking website, wherein the user information includes relationship data that describes a social network of members of the social networking website connected to the user; determining whether the user information has missing attributes; in response to determining that the user information has missing attributes, deriving the missing attributes from users profiles associated with the members of the social network; using the collected user information and the missing attributes to select an advertisement; and providing the selected advertisement to the user and at least one member of the social network associated with the user.

Abstract: A system for teaching a user to identify a family of items is provided including a matching symbol having an identifiable family indicator and a teaching symbol indicating a matching of the family indicator to the family of items. The teaching further illustrates compatibility of the family of items with the family indicator.