Abstract: Methods and devices for detecting incident radiation are provided. The methods and devices use high quality single-crystals of photoactive semiconductor compounds in combination with metal anodes and metal cathodes that provide for enhanced photodetector performance.

Abstract: Inorganic compounds having the formula LiMP2Q6, where M is Ga, In, Bi, Sb, As, Al, or a combination thereof, and Q is S and/or Se, are provided. Methods and devices for detecting incident neutrons and alpha-particles using the compounds are also provided. For thermal neutron detection applications, the compounds can be enriched with lithium-6 isotope (6Li) to enhance their neutron detecting capabilities.

Abstract: Methods and devices for detecting incident radiation, such as incident X-rays or gamma-rays, are provided. The methods and devices use single-crystalline mercury chalcoiodide compounds having the formula Hg3Q2I2, where Q represents a chalcogen atom or a combination of chalcogen atoms, as photoelectric materials. Also provided are methods for growing single-crystals of the mercury chalcoiodide compounds using external organic chemical transport agents.

Abstract: Methods and devices for detecting incident radiation are provided. The methods and devices use high quality single-crystals of photoactive semiconductor compounds in combination with metal anodes and metal cathodes that provide for enhanced photodetector performance.

Abstract: Inorganic compounds having the formula LiMP2Q6, where M is Ga, In, Bi, Sb, As, Al, or a combination thereof, and Q is S and/or Se, are provided. Methods and devices for detecting incident neutrons and alpha-particles using the compounds are also provided. For thermal neutron detection applications, the compounds can be enriched with lithium-6 isotope (6Li) to enhance their neutron detecting capabilities.

Abstract: Methods and systems for obtaining an input video sequence comprising input video frames; determining i) an input resolution of input video frames and ii) a target output resolution of the plurality of input video frames, wherein the target output resolution is higher than the input resolution; and processing the input video sequence using a neural network to generate an output video sequence, comprising, for each of the plurality of input video frames: processing the input video frame to generate an output video frame having the target output resolution, comprising processing the input video frame using a subnetwork of the neural network corresponding to the input resolution of the plurality of input video frames, the neural network configured to process input video frames having one of a set of possible input resolutions and to generate output video frames having one of a set of possible output resolutions.

Abstract: Methods and devices for detecting incident radiation, such as incident X-rays or gamma-rays, are provided. The methods and devices use single-crystalline mercury chalcoiodide compounds having the formula Hg3Q2I2, where Q represents a chalcogen atom or a combination of chalcogen atoms, as photoelectric materials. Also provided are methods for growing single-crystals of the mercury chalcoiodide compounds using external organic chemical transport agents.

Abstract: Methods and devices for detecting incident radiation are provided. The methods and devices use high quality single-crystals of photoactive semiconductor compounds in combination with metal anodes and metal cathodes that provide for enhanced photodetector performance.

Abstract: Methods and devices for detecting incident radiation are provided. The methods and devices use high quality single-crystals of photoactive semiconductor compounds in combination with metal anodes and metal cathodes that provide for enhanced photodetector performance.

Abstract: Inorganic compounds having the formula LiMP2Q6, where M is Ga, In, Bi, Sb, As, Al, or a combination thereof, and Q is S and/or Se, ar provided. Methods and devices for detecting incident neutrons and alpha-particles using the compounds are also provided. For thermal neutron detection applications, the compounds can be enriched with lithium-6 isotope (Li) to enhance their neutron detecting capabilities.

Abstract: Methods and devices for detecting incident radiation are provided. The methods and devices use high quality single-crystals of photoactive semiconductor compounds in combination with metal anodes and metal cathodes that provide for enhanced photodetector performance.

Abstract: Provided are neural network-based image processing method and apparatus, and a computer-readable storage medium. The image processing method includes: inputting an image into an optimized neural network; extracting, by the optimized neural network, image features of the image; and outputting the image features, wherein the optimized neural network is obtained by performing a first optimization process on at least one sub-layer in a pre-trained initial neural network, each sub-layer of the at least one sub-layer includes a convolutional layer, and the first optimization process comprises: for each sub-layer of the at least one sub-layer, determining one or more channels to be removed from a filter of the convolutional layer and removing said one or more channels, and optimizing parameters of remaining channels in the filter of the convolutional layer, so that error of output features of each optimized sub-layer is minimized.

Abstract: Methods and devices for detecting incident radiation, such as incident X-rays or gamma-rays, are provided. The methods and devices use single-crystalline mercury chalcoiodide compounds having the formula Hg3Q2I2, where Q represents a chalcogen atom or a combination of chalcogen atoms, as photoelectric materials. Also provided are methods for growing single-crystals of the mercury chalcoiodide compounds using external organic chemical transport agents.

Abstract: Provided are neural network-based image processing method and apparatus, and a computer-readable storage medium. The image processing method includes: inputting an image into an optimized neural network; extracting, by the optimized neural network, image features of the image; and outputting the image features, wherein the optimized neural network is obtained by performing a first optimization process on at least one sub-layer in a pre-trained initial neural network, each sub-layer of the at least one sub-layer includes a convolutional layer, and the first optimization process comprises: for each sub-layer of the at least one sub-layer, determining one or more channels to be removed from a filter of the convolutional layer and removing said one or more channels, and optimizing parameters of remaining channels in the filter of the convolutional layer, so that error of output features of each optimized sub-layer is minimized.