Abstract: The present disclosure provides antibodies and antigen-binding fragments thereof that bind to human CCR8, a pharmaceutical composition comprising said antibody, and use of the antibody or the composition for treating a disease, such as cancer.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a computer chip placement. One of the methods includes obtaining netlist data for a computer chip; and generating a computer chip placement, comprising placing a respective macro node at each time step in a sequence comprising a plurality of time steps, the placing comprising, for each time step: generating an input representation for the time step; processing the input representation using a node placement neural network having a plurality of network parameters, wherein the node placement neural network is configured to process the input representation in accordance with current values of the network parameters to generate a score distribution over a plurality of positions on the surface of the computer chip; and assigning the macro node to be placed at the time step to a position from the plurality of positions using the score distribution.

Abstract: The present disclosure provides for multi-specific antibodies and antigen-binding fragments thereof that bind to human MUC1 and CD16A, pharmaceutical compositions comprising said antibodies, and use of the antibodies or the compositions for treating a disease, such as cancer.

Abstract: In accordance with an embodiment, a foldable apparatus includes a first shielding plate and a second shielding plate; when the foldable apparatus is in an unfolded state, the first shielding plate and the second shielding plate are configured to be interconnected; and when the foldable apparatus is in a folded state, the first shielding plate and the second shielding plate are configured to be disposed between a first mounting plate and a second mounting plate in a stacked manner.

Abstract: The technology provides techniques for optimizing transistor-level placement using a hybrid approach involving reinforcement learning (“RL”) in conjunction with an optimization technique. This can include implementing an iterative RL training process for an integrated circuit to train a RL agent, including the RL agent learning an ordering of transistors for the integrated circuit by placement of one transistor on an encoded grid per iteration. The RL agent iterates until all transistors for the integrated circuit are placed on the encoded grid. Upon placing all the transistors on the encoded grid, one or more processors implement a solver module using the ordering of the transistors as an input. The solver module is configured to perform an optimization to minimize spacing between the transistors. The trained reinforcement learning agent can then be save in memory.

Abstract: Example folding apparatus and electronic devices are described. In one example, a folding apparatus includes a first housing, a rotating mechanism, and a second housing that are sequentially connected. The rotating mechanism drives the first housing and the second housing to be folded or unfolded relative to each other. The rotating mechanism includes a main shaft assembly, a first transmission arm, a first rotating arm, a first shielding member, a second transmission arm, a second rotating arm, and a second shielding member. When the folding apparatus is unfolded, the first shielding member and the second shielding member approach each other to shield the main shaft assembly.

Abstract: The present disclosure relates to foldable-screen devices and hinge components. An example hinge component includes an elastic component disposed on a support member. A first end of the elastic component presses against a primary shaft mechanism when a rotation mechanism rotates to a flattened state. A second end of the elastic component is connected to the support member when the rotation mechanism rotates to the flattened state. A compression rate of the elastic component when the rotation mechanism rotates to the flattened state is greater than a compression rate of the elastic component when the rotation mechanism rotates to a folded state.

Abstract: The present invention is applicable to the technical field of panoramic videos. Provided are a panoramic video clip method, apparatus and device, and a storage medium. The method comprises acquiring a panoramic video photographed by means of a panoramic camera, and recording an advancing-direction viewing angle of the panoramic camera during moving photographing; carrying out a frame extraction operation on the acquired panoramic video to obtain a corresponding panoramic video frame, carrying out significant target detection on the panoramic video frame, tracking a detected significant target by using a preset target tracking algorithm, and acquiring a viewing angle at which the tracked significant target is located; and clipping the panoramic video according to the advancing-direction viewing angle and the viewing angle at which the significant target is located, so as to generate a target video corresponding to the panoramic video.

Abstract: This application provides a rotating mechanism and an electronic device. The rotating mechanism includes a first housing connecting rod, a second housing connecting rod, a primary shaft, a first rotating door plate, a second rotating door plate, and a door plate swing arm. The first rotating door plate and the second rotating door plate are separately fixedly connected to the door plate swing arm. The door plate swing arm is rotatably connected to the primary shaft. The door plate swing arm is movably connected to the first housing, and the door plate swing arm is movably connected to the second housing. The first rotating door plate and the second rotating door plate are configured to support a bending portion of the flexible display screen in a flattened state. In a folded state, the first rotating door plate and the second rotating door plate form a screen accommodating space for accommodating the bending portion of the flexible display screen.

Abstract: The fisheye image compression method comprises: acquiring positioning information of a render region of a decoding end; identifying a fisheye render region and a fisheye non-render region in fisheye image according to the positioning information, wherein and compressing the fisheye image to obtain a compressed image compression ratio of the fisheye render region in the compressed image is less than the compression ratio of the fisheye non-render region therein, and/or the fisheye render region is not compressed. By means of the method, the image transmission bandwidth can be saved by image compression; moreover, the compression ratio of a compressed fisheye render region is relatively small, or a fisheye render region is subjected to lossless compression, such that a finally rendered picture cannot be excessively compressed, thereby avoiding a reduction in the quality of the picture and ensuring the definition of a picture in a render region.

Abstract: A present invention provides a video display method based on an unmanned aerial vehicle viewing angle, including: acquiring attitude information of an unmanned aerial vehicle; acquiring a video of the surroundings of the unmanned aerial vehicle under the corresponding attitude; acquiring a display viewing angle of the video; and displaying the video according to the display viewing angle, wherein the video includes a spherical panoramic video, an annular panoramic video, or a wide-angle video, and the display viewing angle and the attitude of the unmanned aerial vehicle are independent of each other.

Abstract: A control method and a control system for an unmanned aerial vehicle, the control method comprising: S1, acquiring the attitude of an unmanned aerial vehicle and displaying the attitude; S2, acquiring a panoramic video around the unmanned aerial vehicle corresponding to the attitude; S3, displaying the panoramic video, according to viewing angle display; and S4, controlling the unmanned aerial vehicle to move, according to a received flight control command and returning to step S1.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating learned representations of digital circuit designs. One of the systems includes obtaining data representing a program that implements a digital circuit design, the program comprising a plurality of statements; processing the obtained data to generate data representing a graph representing the digital circuit design, the graph comprising: a plurality of nodes representing respective statements of the program, a plurality of first edges each representing a control flow between a pair of statements of the program, and a plurality of second edges each representing a data flow between a pair of statements of the program; and generating a learned representation of the digital circuit design, comprising processing the data representing the graph using a graph neural network to generate a respective learned representation of each statement represented by a node of the graph.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a computer chip placement. One of the methods includes obtaining netlist data for a computer chip; and generating a computer chip placement, comprising placing a respective macro node at each time step in a sequence comprising a plurality of time steps, the placing comprising, for each time step: generating an input representation for the time step; processing the input representation using a node placement neural network having a plurality of network parameters, wherein the node placement neural network is configured to process the input representation in accordance with current values of the network parameters to generate a score distribution over a plurality of positions on the surface of the computer chip; and assigning the macro node to be placed at the time step to a position from the plurality of positions using the score distribution.

Abstract: The present invention provides a generation method for a 3D asteroid dynamic map and a portable terminal. The method comprises: obtaining a panorama image; identifying the panorama image and segmenting into a sky region, a human body region, and a ground region; calculating a panoramic depth map for the sky region, the human body region, and the ground region; respectively transforming the panorama image and the panoramic depth map to generate an asteroid image and an asteroid depth map; generating an asteroid view under a virtual viewpoint; and rendering to generate a 3D asteroid dynamic map. By automatically generating the asteroid view under the virtual viewpoint, and synthesizing and rendering same, the technical solution of the present invention generates the asteroid dynamic map having a 3D effect from the panorama image.

Abstract: Provided are an automatic video editing method and a portable terminal, the method comprising: obtaining a video to be edited; extracting key frames of the video to be edited; inputting the key frames to a pre-trained scene classification method and a pre-trained target detection method, and respectively obtaining scene type markers and target object markers of the key frames; selecting multiple video segments from the video to be edited which satisfy preset editing criteria; respectively calculating average scores of the multiple video segments by means of a pre-trained image quality scoring method; respectively obtaining the video segment having the highest average score of each shot type for splicing.

Abstract: Aspects of the disclosure are directed to automatically determining floor planning in chips, which factors in memory macro alignment. A deep reinforcement learning (RL) agent can be trained to determine optimal placements for the memory macros, where memory macro alignment can be included as a regularization cost to be added to the placement objective as a RL reward. Tradeoffs between the placement objective and alignment of macros can be controlled by a tunable alignment parameter.

Abstract: A fly ash-based fire-prevention and extinguishing material with carbon dioxide mineralized and stored, and a preparation method thereof are provided. The preparation method includes: separately weighing 100 parts to 120 parts of water, 1 part to 3 parts of a solid strong alkali, and 20 parts to 40 parts of a fly ash as raw materials, pouring the raw materials into a reactor successively to obtain a resulting mixture, and stirring the resulting mixture at a high rotational speed; adding 10 parts to 20 parts of a solubilizing agent to the reactor, sealing the reactor, introducing carbon dioxide to the reactor at room temperature to maintain a carbon dioxide pressure to obtain a resulting slurry, and stirring the resulting slurry at a high rotational speed; and further introducing carbon dioxide into the reactor to increase the carbon dioxide pressure, and stirring the resulting slurry at a low rotational speed.

Abstract: A target tracking method, a computer-readable storage medium, and a computer device. The method comprises: matching a target tracking box with target candidate boxes to determine a target candidate box in best matching with the target tracking box; matching one or more remaining target candidate boxes, except for the best matching target candidate box, with a second target candidate box detected previously to determine a corresponding matching relationship; according to the best matching target candidate box and the corresponding matching relationship, obtaining distances and overlapping relationships respectively between the best matching target candidate box and the one or more remaining target candidate boxes and between the best matching target candidate box and the second target candidate box, so as to determine a shielding relationship between a target and other objects in the current video frame; and determining, according to the shielding relationship, whether to restart target tracking.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a computer chip placement. One of the methods includes obtaining netlist data for a computer chip; and generating a computer chip placement, comprising placing a respective macro node at each time step in a sequence comprising a plurality of time steps, the placing comprising, for each time step: generating an input representation for the time step; processing the input representation using a node placement neural network having a plurality of network parameters, wherein the node placement neural network is configured to process the input representation in accordance with current values of the network parameters to generate a score distribution over a plurality of positions on the surface of the computer chip; and assigning the macro node to be placed at the time step to a position from the plurality of positions using the score distribution.