Abstract: The present application relates to an anti-tumor compound and a preparation method and use thereof, and in particular to a compound or a tautomer, a mesomer, a racemate, an enantiomer or a diastereoisomer thereof, or a mixture thereof, or a pharmaceutically acceptable salt thereof, and a preparation method and use thereof.

Abstract: A method of performing a multimodal tasks by using a multimodal model that includes a text encoder and a vision encoder, may include obtaining a text feature from the query via the text encoder; obtaining an image feature from the one or more input images via the vision encoder; and outputting a response to the query based on similarity between the text feature and the image feature, wherein weights vectors of the text encoder and the vision encoder are pruned and shared according to a sharing vector and a pruning vector that are generated by a hypernetwork, and wherein the hypernetwork and the multimodal model are jointly trained to minimize at least one of a difference between the weight vectors in the text encoder and the vision encoder, a difference between the weight vectors in different layers of the text encoder, and a number of parameters in the multimodal model.

Abstract: The present application relates to an anti-tumor compound and a preparation method and use thereof, and in particular to a compound or a tautomer, a mesomer, a racemate, an enantiomer or a diastereoisomer thereof, or a mixture thereof, or a pharmaceutically acceptable salt thereof, and a preparation method and use thereof.

Abstract: A method includes receiving an input for a large language model (LLM) from a user. The method also includes generating one or more token embeddings based on the input. The method further includes generating one or more prompt embeddings based on the input using a contextual prompt generator (CPG), the one or more prompt embeddings representing new or updated information that is not contained in existing knowledge of the LLM. The method also includes providing the one or more token embeddings and the one or more prompt embeddings to the LLM. In addition, the method includes outputting a prediction based on the one or more token embeddings and the one or more prompt embeddings using the LLM, wherein the prediction reflects the new or updated information represented by the one or more prompt embeddings.

Abstract: A method includes obtaining raw image data, where the raw image data includes data values each having most significant bits and least significant bits. The method also includes providing the raw image data to a trained machine learning model and generating processed image data using the trained machine learning model. The method further includes presenting an image based on the processed image data. The trained machine learning model is trained to modulate a feature map associated with the most significant bits of the data values of the raw image data based on the least significant bits of the data values of the raw image data in order to generate a fusion of the most significant bits and the least significant bits of the data values of the raw image data.

Abstract: The present application relates to an anti-tumor compound and a preparation method and use thereof, and in particular to a compound or a tautomer, a mesomer, a racemate, an enantiomer or a diastereoisomer thereof, or a mixture thereof, or a pharmaceutically acceptable salt thereof, and a preparation method and use thereof.

Abstract: The present application relates to an anti-tumor compound and a preparation method and use thereof, and in particular to a compound or a tautomer, a mesomer, a racemate, an enantiomer or a diastereoisomer thereof, or a mixture thereof, or a pharmaceutically acceptable salt thereof, and a preparation method and use thereof.

Abstract: The present application relates to an anti-tumor compound and a preparation method and use thereof, and in particular to a compound or a tautomer, a mesomer, a racemate, an enantiomer or a diastereoisomer thereof, or a mixture thereof, or a pharmaceutically acceptable salt thereof, and a preparation method and use thereof.

Abstract: The present invention discloses a method for detecting a microstructure of a functionally graded material based on digital acousto-optic holography, including the following steps: excite a sample with an ultrasonic wave; record a light wave; form a single tomographic acousto-optic hologram; perform numerical reconstruction of phase information, and perform global detection. The present invention uses an acoustic-optic modulation device to modulate a laser light source of a laser of a laser device to form two light waves of different frequencies. The two light waves each constitute a Mach-Zehnder interference system to record reflection wave information and transmission wave information of an ultrasound, and are finally combined and recorded in the same hologram to form the single tomographic acousto-optic hologram.

Abstract: The present invention discloses a method for detecting a microstructure of a functionally graded material based on digital acousto-optic holography, including the following steps: excite a sample with an ultrasonic wave; record a light wave; form a single tomographic acousto-optic hologram; perform numerical reconstruction of phase information, and perform global detection. The present invention uses an acoustic-optic modulation device to modulate a laser light source of a laser of a laser device to form two light waves of different frequencies. The two light waves each constitute a Mach-Zehnder interference system to record reflection wave information and transmission wave information of an ultrasound, and are finally combined and recorded in the same hologram to form the single tomographic acousto-optic hologram.

Abstract: The present application relates to an anti-tumor compound and a preparation method and use thereof, and in particular to a compound or a tautomer, a mesomer, a racemate, an enantiomer or a diastereoisomer thereof, or a mixture thereof, or a pharmaceutically acceptable salt thereof, and a preparation method and use thereof.

Abstract: The present application relates to an anti-tumor compound and a preparation method and use thereof, and in particular to a compound or a tautomer, a mesomer, a racemate, an enantiomer or a diastereoisomer thereof, or a mixture thereof, or a pharmaceutically acceptable salt thereof, and a preparation method and use thereof.