Abstract: In one embodiment, a method of training an autoencoder neural network includes determining autoencoder design parameters for the autoencoder neural network, including an input image size for an input image, a compression ratio for compression of the input image into a latent vector, and a latent vector size for the latent vector. The input image size is determined based on a resolution of training images and a size of target features to be detected. The compression ratio is determined based on entropy of the training images. The latent vector size is determined based on the compression ratio. The method further includes training the autoencoder neural network based on the autoencoder design parameters and the training dataset, and then saving the trained autoencoder neural network on a storage device.

Abstract: In one embodiment, a device comprises interface circuitry and processing circuitry. The processing circuitry receives, via the interface circuitry, a video stream captured by a camera during performance of an industrial process, wherein the video stream comprises a sequence of frames; detects, based on analyzing the sequence of frames, a degree of particle scatter that occurs during performance of the industrial process; and determines, based on the degree of particle scatter, that an anomaly occurs during performance of the industrial process.

Abstract: The present invention relates to novel antiviral helioxanthin analogs. These compounds may particularly be used alone or in combination with other drugs for the treatment of the following: hepadnaviruses, flaviviruses, herpesviruses and human immunodeficiency virus. In addition, compounds according to the present invention can be used to prevent or reduce the likelihood of the occurrence of tumors secondary to virus infection as well as other infections or disease states that are secondary to the virus infection.

Abstract: The present invention relates to novel antiviral helioxanthin analogs. These compounds may particularly be used alone or in combination with other drugs for the treatment of the following: hepadnaviruses, flaviviruses, herpesviruses and human immunodeficiency virus. In addition, compounds according to the present invention can be used to prevent or reduce the likelihood of the occurrence of tumors secondary to virus infection as well as other infections or disease states that are secondary to the virus infection.

Abstract: The present invention relates to novel compounds, pharmaceutical compositions and methods for treating tumors, cancer and hyperproliferative diseases including psoriasis, genital warts and hyperproliferative cell growth diseases, including hyperproliferative keratinocyte diseases such as hyperkeratosis, ichthyosis, keratoderma or lichen planus.

Abstract: A data structure and associated data management methods for highly flexible storage of data for a wide variety of application programs. Data is stored as a plurality of Blops, each of which has a list of Properties associated with it. Each Property contains zero or more elements. Elements are Values, each of which has a Basic Type and consists of a variable length sequence of bytes. The Basic Type defines the format of the Value, as well as meta-information such as compression and encryption. Elements can also be Compound Types, which nestably refer to another list of Properties. Blops are stored in Containers, which map to the physical medium on which the data is stored. Containers associate respective Container Handlers which are specific to the Container's physical medium. Related Blops in a Container are organized into Pools of Blops. Each Container contains one or more Pools, each Pool having a unique name within the Container. A Pool contains multiple versions of a Blop.

Abstract: A data structure and associated data management methods for highly flexible storage of data for a wide variety of application programs. Data is stored as a plurality of Blops, each of which has a list of Properties associated with it. Each Property contains zero or more elements. Elements are Values, each of which has a Basic Type and consists of a variable length sequence of bytes. The Basic Type defines the format of the Value, as well as meta-information such as compression and encryption. Elements can also be Compound Types, which nestably refer to another list of Properties. Blops are stored in Containers, which map to the physical medium on which the data is stored. Containers associate respective Container Handlers which are specific to the Container's physical medium. Related Blops in a Container are organized into Pools of Blops. Each Container contains one or more Pools, each Pool having a unique name within the Container. A Pool contains multiple versions of a Blop.

Abstract: A data structure and associated data management methods for highly flexible storage of data for a wide variety of application programs. Data is stored as a plurality of Blops, each of which has a list of Properties associated with it. Each Property contains zero or more elements. Elements can be Values, each of which has a Basic Type and consists of a variable length sequence of bytes. The Basic Type can define the format of the Value, as well as meta-information such as compression and encryption. Elements can also be Compound Types, which nestably refer to another list of Properties. Blops are stored in Containers, which map to the physical medium on which the data is stored. Containers can associate respective Container Handlers which are specific to the Container's physical medium. Related Blops in a Container can be organized into Pools of Blops. Each Container may contain one or more Pools, each Pool having a unique name within the Container. A Pool may contain multiple versions of a Blop.