Abstract: A system and method includes receiving a tuning work request for tuning an external machine learning model; implementing a plurality of distinct queue worker machines that perform various tuning operations based on the tuning work data of the tuning work request; implementing a plurality of distinct tuning sources that generate values for each of the one or more hyperparameters of the tuning work request; selecting, by one or more queue worker machines of the plurality of distinct queue worker machines, one or more tuning sources of the plurality of distinct tuning sources for tuning the one or more hyperparameters; and using the selected one or more tuning sources to generate one or more suggestions for the one or more hyperparameters, the one or more suggestions comprising values for the one or more hyperparameters of the tuning work request.

Abstract: The present disclosure provides a method and device for stitching wind turbine blade images, and a storage medium. The method includes performing edge detection on a plurality of images of the blade of the wind turbine to determine a blade region for each of the plurality of images; and for each pair of images among the plurality of images of the blade of the wind turbine, which are captured successively, stitching a front end of a former one of the pair of images captured successively and a rear end of a latter one of the pair of images captured successively, wherein the front end is far away from a root of the blade of the wind turbine, and the rear end is close to the root of the blade of the wind turbine.

Abstract: Provided are an image processing method device, and a storage medium. The method includes: at an electronic device with a processor, a memory and a camera: acquiring first video data for commodities on a shelf; converting the first video data into a plurality of single-frame images; generating a virtual image scenario according to the plurality of single-frame images; acquiring second video data for the commodities on the shelf; performing unit identification on the plurality of single-frame images in the second video data with a preset unit identification model to identify a plurality of commodity regions; labeling the identified plurality of commodity regions; and replacing corresponding regions in the virtual image scenario with ones of the single-frame images with the labeled commodity regions.

Abstract: A system and method includes receiving a tuning work request for tuning an external machine learning model; implementing a plurality of distinct queue worker machines that perform various tuning operations based on the tuning work data of the tuning work request; implementing a plurality of distinct tuning sources that generate values for each of the one or more hyperparameters of the tuning work request; selecting, by one or more queue worker machines of the plurality of distinct queue worker machines, one or more tuning sources of the plurality of distinct tuning sources for tuning the one or more hyperparameters; and using the selected one or more tuning sources to generate one or more suggestions for the one or more hyperparameters, the one or more suggestions comprising values for the one or more hyperparameters of the tuning work request.

Abstract: A system and method includes receiving a tuning work request for tuning an external machine learning model; implementing a plurality of distinct queue worker machines that perform various tuning operations based on the tuning work data of the tuning work request; implementing a plurality of distinct tuning sources that generate values for each of the one or more hyperparameters of the tuning work request; selecting, by one or more queue worker machines of the plurality of distinct queue worker machines, one or more tuning sources of the plurality of distinct tuning sources for tuning the one or more hyperparameters; and using the selected one or more tuning sources to generate one or more suggestions for the one or more hyperparameters, the one or more suggestions comprising values for the one or more hyperparameters of the tuning work request.

Abstract: A system and method includes receiving a tuning work request for tuning an external machine learning model; implementing a plurality of distinct queue worker machines that perform various tuning operations based on the tuning work data of the tuning work request; implementing a plurality of distinct tuning sources that generate values for each of the one or more hyperparameters of the tuning work request; selecting, by one or more queue worker machines of the plurality of distinct queue worker machines, one or more tuning sources of the plurality of distinct tuning sources for tuning the one or more hyperparameters; and using the selected one or more tuning sources to generate one or more suggestions for the one or more hyperparameters, the one or more suggestions comprising values for the one or more hyperparameters of the tuning work request.

Abstract: A system and method includes receiving a tuning work request for tuning an external machine learning model; implementing a plurality of distinct queue worker machines that perform various tuning operations based on the tuning work data of the tuning work request; implementing a plurality of distinct tuning sources that generate values for each of the one or more hyperparameters of the tuning work request; selecting, by one or more queue worker machines of the plurality of distinct queue worker machines, one or more tuning sources of the plurality of distinct tuning sources for tuning the one or more hyperparameters; and using the selected one or more tuning sources to generate one or more suggestions for the one or more hyperparameters, the one or more suggestions comprising values for the one or more hyperparameters of the tuning work request.

Abstract: A UV detector is designed to provide a photoresponse with a cutoff wavelength below a predetermined wavelength. The detector uses a sensor element having an active layer comprising a MgS component grown directly on a substrate. A thin layer metal layer is deposited over the active layer and forms a transparent Schottky metal layer.

Abstract: A UV detector is designed to provide a photoresponse with a cutoff wavelength below a predetermined wavelength. The detector uses a sensor element having an active layer comprising a MgS component grown directly on a substrate. A thin layer metal layer is deposited over the active layer and forms a transparent Schottky metal layer.

Abstract: The present invention relates to UV detectors comprising undoped Zn1-xMgxS as the UV responsive active material. Where x exceeds 0.3 the thickness of the active material must be below a critical value, for example if 0.30<x<1.00, and the active material is formed as a layer of a thickness t wherein 5000 Å≧t≧100 Å. A particularly preferred combination of x and thickness is x=0.57 and t≦1400 Å because at around these values the UV response of the active material is similar to the UV response of human skin.

Abstract: Visible-blind UV detectors are disclosed comprising an active layer of ZnSTe alloy. The Te composition can be varied to provide good lattice matching depending on the nature of the substrate (eg Si, GaP or GaAs) and a novel structure is provided to give high quantum efficiency. The invention also discloses UV detectors with an active layer of pure ZnS and with an active layer of ZnSSe.