Abstract: Systems and methods can apply machine learning techniques to predict biological responses. One of the methods is performed by at least one processor executing executable logic including at least one machine learning model trained to predict biological responses. The method includes receiving first sequence data of a first molecular sequence, receiving second sequence data of a second molecular sequence, and predicting a biological response for the second molecular sequence based at least partly on the received first and second sequence data.

Abstract: Systems and methods can apply machine learning techniques to predict biological responses. One of the methods is performed by at least one processor executing executable logic including at least one machine learning model trained to predict biological responses. The method includes receiving first sequence data of a first molecular sequence, receiving second sequence data of a second molecular sequence, and predicting a biological response for the second molecular sequence based at least partly on the received first and second sequence data.

Abstract: Example embodiments relate to techniques for volumetric performance capture with neural rendering. A technique may involve initially obtaining images that depict a subject from multiple viewpoints and under various lighting conditions using a light stage and depth data corresponding to the subject using infrared cameras. A neural network may extract features of the subject from the images based on the depth data and map the features into a texture space (e.g., the UV texture space). A neural renderer can be used to generate an output image depicting the subject from a target view such that illumination of the subject in the output image aligns with the target view. The neural render may resample the features of the subject from the texture space to an image space to generate the output image.

Abstract: Example embodiments relate to techniques for volumetric performance capture with neural rendering. A technique may involve initially obtaining images that depict a subject from multiple viewpoints and under various lighting conditions using a light stage and depth data corresponding to the subject using infrared cameras. A neural network may extract features of the subject from the images based on the depth data and map the features into a texture space (e.g., the UV texture space). A neural renderer can be used to generate an output image depicting the subject from a target view such that illumination of the subject in the output image aligns with the target view. The neural render may resample the features of the subject from the texture space to an image space to generate the output image.

Abstract: A discrete-data object is received and may include a plurality of first discrete values, the discrete-data object may include one or more amino acid sequences. The discrete-data object is converted into a continuous-data object that may include a plurality of first continuous values. To the continuous-data object, a continuous-data algorithm is applied to generate a continuous-result object that may include a plurality of second continuous values. The continuous-result object is converted into a discrete-result object which may include a plurality of second discrete values. A vaccine is manufactured which may include at least one of the group that may include i) a protein defined by the discrete-result object, ii) a nucleic acid capable of producing the protein defined by the discrete-result object, and iii) a delivery vehicle capable of producing the protein defined by the discrete-result object.

Abstract: One or more data objects are received defining a plurality of wild-type amino acid sequences. From the one or more data objects, a plurality of reduced-dimension sequences are generated in a reduced-dimension space. A plurality of candidate sequences are generated in the reduced-dimension space using the plurality of reduced-dimension sequences. One or more data objects defining a viral amino acid sequence are received. Viral sequences in the reduced-dimension space are received. As input to a titer-predictor, each of the candidate sequences and at least one of the reduced-dimension viral sequences are provided. As output from the titer-predictor, a candidate-score for each of the candidate sequences is received. At least one candidate sequence from among the candidate sequences are selected. At least one new amino acid sequence is generated. Each of the generated amino acid sequences is suitable for manufacturing a respective vaccine.

Abstract: Nonlinear peri-codec optimization for image and video coding includes obtaining a source image including pixel values expressed in a first defined image sample space, generating a neuralized image representing the source image, the neuralized image including pixel values that are expressed as neural latent space values, encoding the input image wherein the neural latent space values are used as pixel values in a second defined image sample space and the input image is in an operative image format of the encoder, such that a decoder decodes the encoded image to obtain a reconstructed image in the second defined image sample space, wherein the reconstructed image is a reconstructed neuralized image including reconstructed neural latent space values, such that a deneuralized reconstructed image corresponding to the source image is obtained by a nonlinear post-codec image processor in the first defined image sample space.

Abstract: Disclosed are multivalent vaccine or immunogenic compositions comprising influenza virus hemagglutinin (HA) from standard of care influenza virus strains, or ribonucleic acid molecules encoding the same; and one or more influenza virus HA identified or designed by machine learning, or one or more ribonucleic acid molecules that encode the influenza virus HA identified or designed by machine learning. Also disclosed are methods of using the vaccine or immunogenic compositions.

Abstract: A system and method are presented for customizing a software application for a target market. A request to access an application is received, by one or more computer servers, from a user. At least one of a preferred language of the user and a location of the user are determined by the one or more computer servers, and a target market is determined using the at least one of the preferred language of the user and the location of the user. The target market defines a language and a region. The application is rendered by the one or more computer servers by modifying at least one of a user interface of the application and a content of the application using the target market.

Abstract: Example embodiments relate to techniques for volumetric performance capture with neural rendering. A technique may involve initially obtaining images that depict a subject from multiple viewpoints and under various lighting conditions using a light stage and depth data corresponding to the subject using infrared cameras. A neural network may extract features of the subject from the images based on the depth data and map the features into a texture space (e.g., the UV texture space). A neural renderer can be used to generate an output image depicting the subject from a target view such that illumination of the subject in the output image aligns with the target view. The neural render may resample the features of the subject from the texture space to an image space to generate the output image.

Abstract: A method includes receiving a first image including color data and depth data, determining a viewpoint associated with an augmented reality (AR) and/or virtual reality (VR) display displaying a second image, receiving at least one calibration image including an object in the first image, the object being in a different pose as compared to a pose of the object in the first image, and generating the second image based on the first image, the viewpoint and the at least one calibration image.

Abstract: A system and method are presented for customizing a software application for a target market. A request to access an application is received, by one or more computer servers, from a user. At least one of a preferred language of the user and a location of the user are determined by the one or more computer servers, and a target market is determined using the at least one of the preferred language of the user and the location of the user. The target market defines a language and a region. The application is rendered by the one or more computer servers by modifying at least one of a user interface of the application and a content of the application using the target market.

Abstract: Systems and methods can apply machine learning techniques to predict biological responses. One of the methods is performed by at least one processor executing executable logic including at least one machine learning model trained to predict biological responses. The method includes receiving first sequence data of a first molecular sequence, receiving second sequence data of a second molecular sequence, and predicting a biological response for the second molecular sequence based at least partly on the received first and second sequence data.

Abstract: A method includes receiving a first image including color data and depth data, determining a viewpoint associated with an augmented reality (AR) and/or virtual reality (VR) display displaying a second image, receiving at least one calibration image including an object in the first image, the object being in a different pose as compared to a pose of the object in the first image, and generating the second image based on the first image, the viewpoint and the at least one calibration image.

Abstract: A system and method are presented for customizing a software application for a target market. A request to access an application is received, by one or more computer servers, from a user. At least one of a preferred language of the user and a location of the user are determined by the one or more computer servers, and a target market is determined using the at least one of the preferred language of the user and the location of the user. The target market defines a language and a region. The application is rendered by the one or more computer servers by modifying at least one of a user interface of the application and a content of the application using the target market.

Abstract: Techniques to enhance software production are described. An apparatus may include a processor and a memory unit to couple to the processor. The memory unit may store a software build service that when executed by the processor is operative to receive a request to subscribe to the software build service from a software development client, create a virtual software build platform to build a software application, and assign multiple build resources from a resource pool to the virtual software build platform to build the software application, with each of the multiple build resources having one or more assigned affinity relationships for build execution tasks to build the software application. Other embodiments are described and claimed.

Abstract: A system and method are presented for customizing a software application for a target market. A request to access an application is received, by one or more computer servers, from a user. At least one of a preferred language of the user and a location of the user are determined by the one or more computer servers, and a target market is determined using the at least one of the preferred language of the user and the location of the user. The target market defines a language and a region. The application is rendered by the one or more computer servers by modifying at least one of a user interface of the application and a content of the application using the target market.

Abstract: A system and method are presented for customizing a software application for a target market. A request to access an application is received, by one or more computer servers, from a user. At least one of a preferred language of the user and a location of the user are determined by the one or more computer servers, and a target market is determined using the at least one of the preferred language of the user and the location of the user. The target market defines a language and a region. The application is rendered by the one or more computer servers by modifying at least one of a user interface of the application and a content of the application using the target market.

Abstract: A system and method are presented for website content optimization for a target market. A request for a web page is received by one or more computer servers from a user. The web page is configured to enable the user to perform a financial transaction. A location of the user and one or more preferred methods of payment for a geographical region including the location of the user are determined by the one or more computers servers. The one or more computer servers generate the web page in response to the request. The web page is configured to enable the user to use at least one of the one or more preferred methods of payment to perform the financial transaction. The web page is transmitted to the user.

Abstract: Techniques to enhance software production are described. An apparatus may include a processor and a memory unit to couple to the processor. The memory unit may store a software build service that when executed by the processor is operative to receive a request to subscribe to the software build service from a software development client, create a virtual software build platform to build a software application, and assign multiple build resources from a resource pool to the virtual software build platform to build the software application, with each of the multiple build resources having one or more assigned affinity relationships for build execution tasks to build the software application. Other embodiments are described and claimed.