Abstract: The disclosure discloses a method and a system for generating image adversarial examples based on an acoustic wave. The method includes: acquiring an image containing a target object or a target scene; generating simulated image examples for the acquired image, wherein the simulated image examples have adversarial effects on a deep learning algorithm in a target machine vision system; optimizing the generated simulated image examples to obtain an optimal adversarial example and corresponding adversarial parameters; and injecting the adversarial parameters into an inertial sensor of the target machine vision system in a manner of an acoustic wave, such that the adversarial parameters are used as sensor readings that will cause an image stabilization module in the target machine vision system to operate to generate particular blurry patterns in a generated real-world image so as to generate an image adversarial example in a physical world.

Abstract: Provided is a real-time multi-modal artificial intelligence agent. In some implementations, the multi-modal agent can be implemented as a “situated agent”. The term situated agent refers to a setting in which the agent shares one or more perceptual inputs with a human user. For example, the situated agent can receive and process various data inputs, including video, audio, and/or textual data which are also observable by the human user. The agent can process these inputs to generate responses that are contextually-relevant for the user's physical or digital environment, for example enabling the agent to generate dialogue or other responses or outputs which assist the user in understanding and/or navigating the environment.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for controlling agents. In particular, an interactive agent can be controlled based on multi-modal inputs that include both an observation image and a natural language text sequence.

Abstract: The present disclosure provides a video decoding method, a video decoding device, a hardware decoder, and a storage medium. The method comprises: decoding a target slice of a to-be-decoded video; determining coding blocks that need to be restored in a frame where the target slice is located, when detecting occurrence of an error to a syntax element of the target slice; and restoring the coding blocks that need to be restored based on a global preset syntax element template, so as to perform forced decoding of the target slice.

Abstract: Systems, methods, and computer programs for learning to control an embodied agent to perform tasks. The techniques use internal, “intra-agent” speech when learning, and are thus able to perform tasks involving new objects without any direct experience of interacting with those objects, i.e. zero-shot. Implementations of the techniques use an image captioning neural network system to generate natural language captions used when training an action selection neural network system.

Abstract: The present disclosure provides a video decoding method, a video decoding device, a hardware decoder, and a storage medium. The method comprises: decoding a target slice of a to-be-decoded video; determining coding blocks that need to be restored in a frame where the target slice is located, when detecting occurrence of an error to a syntax element of the target slice; and restoring the coding blocks that need to be restored based on a global preset syntax element template, so as to perform forced decoding of the target slice.

Abstract: Embodiments of this application provide an antenna and a preparation method thereof, a millimeter-wave sensor, and a terminal. Gaps exist between a plurality of coupling stubs and a microstrip feeder.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for controlling agents. In particular, an interactive agent can be controlled based on multi-modal inputs that include both an observation image and a natural language text sequence.

Abstract: The present invention discloses a deformation controllable compression ring-based mechanical test system for rocks with variable stiffness and a test method thereof, which comprises a loading device, a variable stiffness regulating device, a data monitoring system and a controlling system; the energy storing spring in the loading device allows the rebounding direction of the loading device to be contrary to the strain direction of the test-piece, which eliminates the energy supplement of the loading device to the test-piece and realizes the loading of an oversized stiffness on the test system; the variable stiffness regulating device precisely regulates the loaded stiffness by regulating the loaded stiffness of the test system according to test requirements, which realizes the test of loading different stiffness on the same test system and avoids the influences of differences to loading parameters between different test systems on the test results.

Abstract: The present disclosure discloses a machine learning-based method for defending a voice assistant from being controlled by an inaudible command, including following steps: 1) collecting data of positive and negative samples, 2) performing data segmentation on data of the positive and negative samples; 3) selecting and normalizing sample features; 4) selecting a classifier to be trained and generate a detection model for a malicious voice command; 5) detecting a voice command to be detected by the detection model. The present disclosure selects an original feature selection method, and for smart devices of different types, it is necessary to obtain normal voice commands and malicious voice commands by means of a smart device of this type, and use them as the positive and negative samples to train a specific classifier for the device. Such a customized approach can well solve a problem that detection and defense between devices cannot work.

Abstract: The present invention discloses a deformation controllable compression ring-based mechanical test system for rocks with variable stiffness and a test method thereof, which comprises a loading device, a variable stiffness regulating device, a data monitoring system and a controlling system; the energy storing spring in the loading device allows the rebounding direction of the loading device to be contrary to the strain direction of the test-piece, which eliminates the energy supplement of the loading device to the test-piece and realizes the loading of an oversized stiffness on the test system; the variable stiffness regulating device precisely regulates the loaded stiffness by regulating the loaded stiffness of the test system according to test requirements, which realizes the test of loading different stiffness on the same test system and avoids the influences of differences to loading parameters between different test systems on the test results.

Abstract: The disclosure discloses a method and a system for generating image adversarial examples based on an acoustic wave. The method includes: acquiring an image containing a target object or a target scene; generating simulated image examples for the acquired image, wherein the simulated image examples have adversarial effects on a deep learning algorithm in a target machine vision system; optimizing the generated simulated image examples to obtain an optimal adversarial example and corresponding adversarial parameters; and injecting the adversarial parameters into an inertial sensor of the target machine vision system in a manner of an acoustic wave, such that the adversarial parameters are used as sensor readings that will cause an image stabilization module in the target machine vision system to operate to generate particular blurry patterns in a generated real-world image so as to generate an image adversarial example in a physical world.

Abstract: The present disclosure discloses a machine learning-based method for defending a voice assistant from being controlled by an inaudible command, including following steps: 1) collecting data of positive and negative samples, 2) performing data segmentation on data of the positive and negative samples; 3) selecting and normalizing sample features; 4) selecting a classifier to be trained and generate a detection model for a malicious voice command; 5) detecting a voice command to be detected by the detection model. The present disclosure selects an original feature selection method, and for smart devices of different types, it is necessary to obtain normal voice commands and malicious voice commands by means of a smart device of this type, and use them as the positive and negative samples to train a specific classifier for the device. Such a customized approach can well solve a problem that detection and defense between devices cannot work.

Abstract: The invention relates to a derivative of 15-oxospiramilacton, particularly to a compound of Formula I or II, or an isomer, a solvate or a pharmaceutically acceptable salt thereof. The invention also relates to a pharmaceutical composition comprising the compound as pharmaceutically active ingredient, a method for preparing the same, and use thereof in manufacture of an anti-tumor agent. The derivative of 15-oxospiramilactone of the invention have an activity against multiple tumor cell lines, and the anti-tumor activity is positively correlated to an activity inhibiting the Wnt signaling pathway.

Abstract: Pharmaceutical compositions and methods for treating or preventing an inflammatory condition in a patient are disclosed. The pharmaceutical compositions and methods include the use of vincamine or a vincamine derivative, either alone or in combination with one or more additional therapeutic agents, including a steroid (preferably a corticosteroid), an angiotensin II receptor (type 1) antagonist, an angiotensin-converting enzyme (ACE) inhibitor, and a non-steroidal anti-inflammatory drug.

Abstract: Pharmaceutical compositions and methods for treating or preventing an inflammatory condition in a patient are disclosed. The pharmaceutical compositions and methods include the use of vincamine or a vincamine derivative, either alone or in combination with one or more additional therapeutic agents, including a steroid (preferably a corticosteroid), an angiotensin II receptor (type 1) antagonist, an angiotensin-converting enzyme (ACE) inhibitor, and a non-steroidal anti-inflammatory drug.

Abstract: The invention relates to a derivative of 15-oxospiramilacton, particularly to a compound of Formula I or II, or an isomer, a solvate or a pharmaceutically acceptable salt thereof. The invention also relates to a pharmaceutical composition comprising the compound as pharmaceutically active ingredient, a method for preparing the same, and use thereof in manufacture of an anti-tumor agent. The derivative of 15-oxospiramilactone of the invention have an activity against multiple tumor cell lines, and the anti-tumor activity is positively correlated to an activity inhibiting the Wnt signaling pathway.

Abstract: Pharmaceutical compositions and methods for treating or preventing an inflammatory condition in a patient are disclosed. The pharmaceutical compositions and methods include the use of vincamine or a vincamine derivative, either alone or in combination with one or more additional therapeutic agents, including a steroid (preferably a corticosteroid), an angiotensin II receptor (type 1) antagonist, an angiotensin-converting enzyme (ACE) inhibitor, and a non-steroidal anti-inflammatory drug.

Abstract: A vehicle parking management system with guidance for indicating floor vacant vehicular parking dock comprises a plurality of detectors, a plurality of display units, a servo and a power supply. Each detector includes an optical sensor securely fixed in each corresponding vehicle parking dock. Each display unit includes an illuminator securely fixed in front margin of each corresponding vehicle parking dock. The servo, which respectively connects to an entrance ticket machine of the parking lot, each detector and each display unit of every vehicle parking dock via a connected cabled network, includes a controlling program functioning to create a chasing lights display of Marquee sign. By means of the chasing lights display, every driver can quickly find vacant parking dock in the parking lot without any difficulty so that no vehicle congestion or long vehicle queue will happen.

Abstract: Pharmaceutical compositions and methods for treating or preventing an inflammatory condition in a patient are disclosed. The pharmaceutical compositions and methods include the use of vincamine or a vincamine derivative, either alone or in combination with one or more additional therapeutic agents, including a steroid (preferably a corticosteroid), an angiotensin II receptor (type 1) antagonist, an angiotensin-converting enzyme (ACE) inhibitor, and a non-steroidal anti-inflammatory drug.