Abstract: A system, apparatus, method, and non-transitory computer readable medium for performing image search verification using an online platform may include a memory storing computer readable instructions and a database corresponding to a neural network associated with the online platform, and processing circuitry configured to execute the computer readable instructions. The processing circuitry may cause the server to receive an image-based search query from a first user device, the image-based search query including at least one image including a search object, and search query parameters related to the search object, analyze the search object using the neural network to determine an object type of the search object and at least one object type specific characteristic of the search object, and receive at least one search result response from at least one second user device.

Abstract: A control method for cooling a refrigerant of an inverter includes the steps of: sucking a portion of the refrigerant out from a reservoir of a condenser in a chiller into a cooling plate of the inverter for cooling; according to a pressure value of the condenser and an outlet pressure value of the inverter, determining a set condition; and, based on the set condition, controlling an opening of an electronic expansion valve to adjust a flow of the portion of the refrigerant in the cooling plate of the inverter. In addition, a refrigerant bypass pipeline of the inverter is also provided.

Abstract: The present disclosure provides a model training method; and the model training method includes: by a host process, acquiring training data, and dividing the training data for a training node cluster employing a master-workers architecture to obtain multiple pieces of sub-training data; wherein the training node cluster comprises a master node and multiple worker nodes; wherein the host process runs in a non-trusted execution environment, and the training node cluster runs in a trusted execution environment; by the host process, encrypting each piece of sub-training data, and storing the encrypted sub-training data in a shared memory of the host process; and controlling the master node and each of the worker nodes to acquire corresponding encrypted sub-training data from the shared memory in accordance with corresponding data storage addresses, respectively, and train a preset model by using corresponding respective decrypted sub-training data, respectively, to obtain a trained model.

Abstract: An imaging system and an imaging method are provided for photographing samples in a non-complete plane arrangement. With using the imaging system and the imaging method, a clear image of each point of the sample can be obtained under a high-magnification microscope lens, and the steps of fixing and embedding the sample in advance can be simplified.

Abstract: Apparatuses, systems, devices, and computer program products for deterrence techniques are described. A method may include processing data from an outdoor camera. A method may include detecting a person based at least in part on processed data from an outdoor camera. A method may include emitting a sound from an outdoor camera to deter a person in response to detecting the person.

Abstract: A holographic system comprises a display device and a waveguide pupil expander. The display device is arranged to display a hologram and to output spatially modulated light in accordance with the hologram. The waveguide pupil expander is configured to receive spatially modulated light from the display device at the input port thereof and to expand the viewing window of the system. The waveguide pupil expander comprises first and second substantially planar reflective surfaces arranged in parallel having an optically transparent material therebetween. The first reflective surface is fully reflective and the second reflective surface is partially reflective such that light is guided from the input port to an output port at the second reflective surface by a series of internal reflections. The optically transparent material is formed by a layered glass structure arranged to maintain the integrity of the waveguide in the event of breakage of glass.

Abstract: A system can receive a request for transport from a computing device of a user while the user is riding a transit vehicle of a transit service, the request specifying a start location and a destination for the user. The system can determine an estimated time of arrival (ETA) of the transit vehicle to an arrival location that corresponds to the start location. The system can determine an ETA of a vehicle to the start location based on location data of the vehicle, and determine that the ETA of the vehicle to the start location is within a threshold amount of time of the ETA of the transit vehicle to the arrival location. The system can select the vehicle to service the request for the user, and transmit a transport invitation indicating the start location to the computing device associated with the vehicle.

Abstract: Apparatuses, systems for electronic wearable devices such as smart glasses are described. The wearable device can comprise a frame, an elongate temple and an articulated joint. The frame can define one or more optical element holders configured to hold respective optical elements for viewing by a user in a viewing direction. The temple can be moveably connected to the frame for holding the frame in position when the device is worn by the user. The articulated joint can connect the temple and the frame to permit movement of the temple relative to the frame between a wearable position in which the temple is generally aligned with the viewing direction, and a collapsed position in which the temple extends generally transversely to the viewing direction. The articulated joint can include a base foot fixed to the frame and oriented transversely to the viewing direction.

Abstract: Systems and methods for image processing are described. Embodiments of the present disclosure receive an image comprising a first region that includes content and a second region to be inpainted. Noise is then added to the image to obtain a noisy image, and a plurality of intermediate output images are generated based on the noisy image using a diffusion model trained using a perceptual loss. The intermediate output images predict a final output image based on a corresponding intermediate noise level of the diffusion model. The diffusion model then generates the final output image based on the intermediate output image. The final output image includes inpainted content in the second region that is consistent with the content in the first region.

Abstract: A prediction-based system and method for trajectory planning of autonomous vehicles is configured to: receive data from a training data collection system, the training data including perception data and context data corresponding to human driving behaviors; perform a training phase for training a trajectory prediction module using the training data; receive perception data associated with a host vehicle; and perform an operational phase for extracting host vehicle feature data and proximate vehicle context data from the perception data, generating a proposed trajectory for the host vehicle, using the trained trajectory prediction module to generate predicted trajectories for each of one or more proximate vehicles near the host vehicle based on the proposed host vehicle trajectory, determining if the proposed trajectory for the host vehicle will conflict with any of the predicted trajectories of the proximate vehicles, and modifying the proposed trajectory for the host vehicle until conflicts are eliminated.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For instance, in one or more embodiments, the disclosed systems generate, utilizing a segmentation neural network and without user input, object masks for objects in a digital image. The disclosed systems determine foreground and background abutting an object mask. The disclosed systems generate an expanded object mask by expanding the object mask into the foreground abutting the object mask by a first amount and expanding the object mask into the background abutting the object mask by a second amount that differs from the first amount. The disclosed systems inpaint a hole corresponding to the expanded object mask utilizing an inpainting neural network.

Abstract: Disclosed is a method of manufacturing a semiconductor device. The method includes forming a patterned hardmask over an underlying target layer on a substrate; and performing plasma fabrication operations in parallel on the patterned hardmask and underlying target layer in a plasma etching chamber using a plasma etch gas and a selective source gas. The plasma operations include forming a protective cap on the patterned hardmask; and removing portions of the underlying layer that are not covered by the patterned hardmask. In various embodiments, the selective source gas includes a chemical compound that includes a halogen gas that can be dissociated into a metal and a halogen, and the plasma operations include dissociating the metal and the halogen in the selective source gas and forming a protective cap on the patterned hardmask using the metal that has been dissociated.

Abstract: A surgical instrument includes a rod and a push portion. The push portion includes a first end connected to an end of the rod and a second end having a blade portion. The push portion includes a plurality of grooves. The plurality of grooves is recessed in a surface of the push portion and is spaced from each other. Each two adjacent grooves has a rib formed therebetween. A top face of a cross section of each rib is the surface of the push portion. Each rib has a guiding face on the cross section of the push portion. The guiding face is connected to the surface of the push portion. The guiding face faces a rotating direction of the rod. An angle between the guiding face and the surface of the push portion in the cross section is greater than 90°.

Abstract: A photoresist composition includes a mixture. The mixture includes a first photosensitive material and a second photosensitive material. The first photosensitive material is a 6-Sn oxide cluster, a 12-Sn oxide cluster or a combination thereof. The second photosensitive material has a composition being different from a composition of the first photosensitive material.

Abstract: Disclosed is an image display format conversion method, comprising: a frame recognition step of performing a frame recognition process on a comic page image to obtain a plurality of comic frame images and frame position information; a frame sequence determination step of determining a frame viewing sequence according to a selected regional layout rule; and a frame reassembly step of reassembling and converting, based on the frame viewing sequence, the plurality of comic frame images into a digital media in an animation-like format or a scrolling-comic format.

Abstract: An electronic device includes an image capturing module and a processing module. The image capturing module is configured to capture a hand to obtain a first hand image. The processing module is configured to receive the first hand image, process the first hand image through an artificial intelligence model to generate a first hand landmark, and control the electronic device to enter the unlock mode according to a first gesture corresponding to the first hand landmark.

Abstract: Systems and methods for instance segmentation are described. Embodiments include identifying an input image comprising an object that includes a visible region and an occluded region that is concealed in the input image. A mask network generates an instance mask for the input image that indicates the visible region of the object. A diffusion model then generates a segmentation mask for the input image based on the instance mask. The segmentation mask indicates a completed region of the object that includes the visible region and the occluded region.

Abstract: A charging system may include a plurality of power modules, a distributing switch module, and a plurality of charging ports. The distributing switch module includes a first distributing unit and a second distributing unit. The first distributing unit may connect a first part of power modules in the plurality of power modules to a first charging port, to distribute powers of the first part of power modules to the first charging port. The second distributing unit may connect a second part of power modules in the plurality of power modules to a second charging port, to distribute powers of the second part of power modules to the second charging port. Therefore, the first charging port may charge a first terminal, and the second charging port may charge a second terminal.

Abstract: An encoding method, a decoding method, and a device for point cloud compression are provided. The encoding method includes the following. Point cloud data corresponding to a first frame is obtained, and is distinguished into a global point cloud set and at least one object point cloud set according to a reference frame. The object point cloud set corresponds to at least one reference object point cloud set. A global dynamic model corresponding to the global point cloud set is calculated and an object dynamic model corresponding to the object point cloud set is calculated. A bitstream is generated. The bitstream includes the global point cloud set, the global dynamic model corresponding to the global point cloud set, a serial number of each object point in the reference object point cloud set, and the object dynamic model corresponding to the object point cloud set.

Abstract: An image reconstructing method for generating an output image according to an input image and a target EV is disclosed. The image reconstructing method comprises: (a) extracting at least one first feature map of the input image; (b) synthesizing at least one second feature map with the target EV to generate at least one third feature map; (c) performing affine brightness transformation to the third feature map to generate fourth feature maps; and (d) synthesizing the input image with the fourth feature maps to generate the output image. An image generation training method with a cycle training is also disclosed.