Abstract: System and method for Generative Artificial Intelligence based image generation are disclosed. In an aspect, a user input is received requesting an image of a predetermined object to be generated. An enhanced prompt is then generated from the user input, the enhanced prompt includes one or more of a reference image of the predetermined object and a textual portion describing technical details for generating the image. Further, the enhanced prompt is input to an image generation model that preserves portions of the reference image including the predetermined object unchanged via masking the portions of the reference image, generates a depth map of the reference image, and generates an intermediate image by merging the reference image with the masked portions of the predetermined object and the depth map. Also, an enhanced version of the intermediate image is output as the image generated in response to the user input.

Abstract: Implementations include actions of receiving an image, providing a set of features for the image, determining a set of HOIs including one or more HOIs that are potentially represented in the image, providing sets of feature scores by, for each HOI in the set of HOIs, determining, by a first ML model, a set of feature scores for respective features in the set of features, generating, by a second ML model, sets of weights based on the set of HOIs, providing a set of final scores by, for each HOI in the set of HOIs, determining a final score based on a respective set of weights and the set of feature scores, each final score corresponding to a respective HOI in the set of HOIs, and selecting an output HOI for the image from the set of HOIs based on the set of final scores.

Abstract: Implementations include actions of receiving an image; extracting a visual HOI and a set of visual embeddings, the visual HOI indicating a subject and an object; obtaining, using a vector library, a set of semantic HOIs and sets of semantic embeddings based on the subject, the object and a set of verbs included in the vector library, each set of semantic embeddings corresponding to a semantic HOI; processing, by a compositional model, the set of visual embeddings to provide a set of transition visual embeddings; processing the sets of semantic embeddings to provide respective sets of transition semantic embeddings; determining a set of scores based on the set of transition visual embeddings and the sets of transition semantic embeddings, each score representing a degree of similarity between the visual HOI and a semantic HOI; and determining at least one predicted HOI represented within the image based on the scores.

Abstract: A multimedia resource sharing method, an electronic device and a medium. The method includes: displaying a first multimedia resource; displaying a first sharing card associated with the first multimedia resource in the first multimedia resource; in response to a trigger operation on the first sharing card, displaying a share control; and in response to a sharing operation on the share control, sending the first multimedia resource to a first sharing object indicated by the sharing operation.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for controlling a reinforcement learning agent in an environment to perform a task using a retrieval-augmented action selection process.

Abstract: Implementations are directed to receiving a first set of images included in a first video captured by a camera that monitors a human performing a task; processing the first set of images using a first machine learning (ML) model to determine whether the first set of images depicts a gesture that is included in a predefined set of gestures; in response to determining that the first set of images depicts a gesture included in a predefined set of gestures, processing a second set of images included in the first video using a second ML model to determine a first gesture type of the gesture; comparing the first gesture type with a first expected gesture type to determine whether performance of the task conforms to a standard operating procedure (SOP) for the task; and providing feedback representative of a comparison result in a user interface.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for controlling an agent interacting with an environment to perform a task. In one aspect, one of the methods include: maintaining context data; receiving a current observation characterizing a current state of the environment; generating a current graph model that represents the environment; selecting, from a possible set of actions and using the current graph model, a current action to be performed by the agent in response to the current observation; controlling the agent to perform the selected current action to cause the environment to transition from the current state into a new state; and updating the context data to include (i) data identifying the selected current action and (ii) a new observation characterizing the new state of the environment.

Abstract: Implementations include actions of receiving an image, providing a set of features for the image, determining a set of HOIs including one or more HOIs that are potentially represented in the image, providing sets of feature scores by, for each HOI in the set of HOIs, determining, by a first ML model, a set of feature scores for respective features in the set of features, generating, by a second ML model, sets of weights based on the set of HOIs, providing a set of final scores by, for each HOI in the set of HOIs, determining a final score based on a respective set of weights and the set of feature scores, each final score corresponding to a respective HOI in the set of HOIs, and selecting an output HOI for the image from the set of HOIs based on the set of final scores.

Abstract: Implementations include actions of receiving an image; extracting a visual HOI and a set of visual embeddings, the visual HOI indicating a subject and an object; obtaining, using a vector library, a set of semantic HOIs and sets of semantic embeddings based on the subject, the object and a set of verbs included in the vector library, each set of semantic embeddings corresponding to a semantic HOI; processing, by a compositional model, the set of visual embeddings to provide a set of transition visual embeddings; processing the sets of semantic embeddings to provide respective sets of transition semantic embeddings; determining a set of scores based on the set of transition visual embeddings and the sets of transition semantic embeddings, each score representing a degree of similarity between the visual HOI and a semantic HOI; and determining at least one predicted HOI represented within the image based on the scores.

Abstract: Implementations are directed to receiving a first set of images included in a first video captured by a camera that monitors a human performing a task; processing the first set of images using a first machine learning (ML) model to determine whether the first set of images depicts a gesture that is included in a predefined set of gestures; in response to determining that the first set of images depicts a gesture included in a predefined set of gestures, processing a second set of images included in the first video using a second ML model to determine a first gesture type of the gesture; comparing the first gesture type with a first expected gesture type to determine whether performance of the task conforms to a standard operating procedure (SOP) for the task; and providing feedback representative of a comparison result in a user interface.

Abstract: The invention provides methods that define cellular populations that are sensitive to RARA agonists and identify patient subgroups that will benefit from treatment with RARA agonists. The invention also provides packaged pharmaceutical compositions that comprise a RARA agonist and instructions for determining if such agonist is suitable for use in treatment.

Abstract: The invention provides methods that define cellular populations that are sensitive to RARA agonists and identify patient subgroups that will benefit from treatment with RARA agonists. The invention also provides packaged pharmaceutical compositions that comprise a RARA agonist and instructions for determining if such agonist is suitable for use in treatment.

Abstract: The invention provides methods that define cellular populations that are sensitive to RARA agonists and identify patient subgroups that will benefit from treatment with RARA agonists. The invention also provides packaged pharmaceutical compositions that comprise a RARA agonist and instructions for determining if such agonist is suitable for use in treatment.

Abstract: The invention provides methods that define cellular populations that are sensitive to RARA agonists and identify patient subgroups that will benefit from treatment with RARA agonists. The invention also provides packaged pharmaceutical compositions that comprise a RARA agonist and instructions for determining if such agonist is suitable for use in treatment.

Abstract: The invention provides methods that define cellular populations that are sensitive to RARA agonists and identify patient subgroups that will benefit from treatment with RARA agonists. The invention also provides packaged pharmaceutical compositions that comprise a RARA agonist and instructions for determining if such agonist is suitable for use in treatment.

Abstract: The invention provides methods that define cellular populations that are sensitive to RARA agonists and identify patient subgroups that will benefit from treatment with RARA agonists. The invention also provides packaged pharmaceutical compositions that comprise a RARA agonist and instructions for determining if such agonist is suitable for use in treatment.

Abstract: The invention provides methods that define cellular populations that are sensitive to RARA agonists and identify patient subgroups that will benefit from treatment with RARA agonists. The invention also provides packaged pharmaceutical compositions that comprise a RARA agonist and instructions for determining if such agonist is suitable for use in treatment.

Abstract: The invention provides methods that define cellular populations that are sensitive to RARA agonists and identify patient subgroups that will benefit from treatment with RARA agonists. The invention also provides packaged pharmaceutical compositions that comprise a RARA agonist and instructions for determining if such agonist is suitable for use in treatment.

Abstract: The invention provides methods that define cellular populations that are sensitive to RARA agonists and identify patient subgroups that will benefit from treatment with RARA agonists. The invention also provides packaged pharmaceutical compositions that comprise a RARA agonist and instructions for determining if such agonist is suitable for use in treatment.