Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a machine learning model that is configured to process a model input that defines a bacterial community to generate a predicted score that predicts a performance of the bacterial community in performing a bacterial task. According to one aspect, a method comprises: generating data identifying a set of bacterial communities; obtaining, for each bacterial community, a target score for the bacterial community; generating a set of training examples, wherein each training example corresponds to a respective bacterial community and comprises: (i) a training input that identifies the bacterial strains included in the bacterial community, and (ii) the target score for the bacterial community; training the machine learning model on the set of training examples; and identifying one or more candidate bacterial communities for performing the bacterial task using the trained machine learning model.

Abstract: Methods, systems, and computer-readable media for orchestration of computations using a remote repository are disclosed. A representation of one or more inputs to a computation is stored in a repository. The computation is assigned to one or more hosts of a plurality of hosts. A representation of program code executable to perform the computation is stored in the repository. A local copy of the one or more inputs is stored on the one or more hosts. The computation is initiated on the one or more hosts using the program code and the local copy of the one or more inputs. The computation is initiated for a plurality of keys. The computation succeeds for one or more keys after the computation has failed for one or more other keys. A representation of one or more outputs of the computation is stored in the repository.

Abstract: Methods, systems, and computer-readable media for orchestration of computations using a remote repository are disclosed. A representation of one or more inputs to a computation is stored in a repository. The computation is assigned to one or more hosts of a plurality of hosts. A representation of program code executable to perform the computation is stored in the repository. A local copy of the one or more inputs is stored on the one or more hosts. The computation is initiated on the one or more hosts using the program code and the local copy of the one or more inputs. The computation is initiated for a plurality of keys. The computation succeeds for one or more keys after the computation has failed for one or more other keys. A representation of one or more outputs of the computation is stored in the repository.

Abstract: Exemplary systems and methods are directed to risk-based observability of a platform. Data is received from plural devices from one or more computing environments on a network. The received data is in a raw data format according to the computing environment or platform from which it was received. The received data is converted from the raw format to a structured format. The converted data is enhanced by adding contextual information associated with a corresponding one of the plural devices. A risk analysis is performed on the enhanced data based on one or more risk detection rules applied to the network. One or more tags are applied to the enhanced data based on results of the risk analysis. Data analysis is performed on the enhanced data to identify devices from aggregate sources. The data is sent to one or more destinations on the network based on the applied tags.

Abstract: Methods, systems, and computer-readable media for a client-side filesystem for a remote repository are disclosed. One or more files of a repository are sent from a storage service to a client device. The file(s) are obtained by the client using a credential sent by a repository manager. Local copies of the file(s) are accessible via a local filesystem mounted at the client device. One or more new files associated with the repository are generated at the client device. Using the credential, the one or more new files are obtained at the storage service from the client device. The one or more new files are added to the repository.

Abstract: Methods, systems, and computer-readable media for orchestration of computations using a remote repository are disclosed. A representation of one or more inputs to a computation is stored in a repository. The computation is assigned to one or more hosts of a plurality of hosts. A representation of program code executable to perform the computation is stored in the repository. A local copy of the one or more inputs is stored on the one or more hosts. The computation is initiated on the one or more hosts using the program code and the local copy of the one or more inputs. The computation is initiated for a plurality of keys. The computation succeeds for one or more keys after the computation has failed for one or more other keys. A representation of one or more outputs of the computation is stored in the repository.

Abstract: Methods, systems, and computer-readable media for a client-side filesystem for a remote repository are disclosed. One or more files of a repository are sent from a storage service to a client device. The file(s) are obtained by the client using a credential sent by a repository manager. Local copies of the file(s) are accessible via a local filesystem mounted at the client device. One or more new files associated with the repository are generated at the client device. Using the credential, the one or more new files are obtained at the storage service from the client device. The one or more new files are added to the repository.

Abstract: Methods, systems, and computer-readable media for orchestration of computations using a remote repository are disclosed. A representation of one or more inputs to a computation is stored in a repository. The computation is assigned to one or more hosts of a plurality of hosts. A representation of program code executable to perform the computation is stored in the repository. A local copy of the one or more inputs is stored on the one or more hosts. The computation is initiated on the one or more hosts using the program code and the local copy of the one or more inputs. The computation is initiated for a plurality of keys. The computation succeeds for one or more keys after the computation has failed for one or more other keys. A representation of one or more outputs of the computation is stored in the repository.

Abstract: Methods, systems, and computer-readable media for a client-side filesystem for a remote repository are disclosed. One or more files of a repository are sent from a storage service to a client device. The file(s) are obtained by the client using a credential sent by a repository manager. Local copies of the file(s) are accessible via a local filesystem mounted at the client device. One or more new files associated with the repository are generated at the client device. Using the credential, the one or more new files are obtained at the storage service from the client device. The one or more new files are added to the repository.

Abstract: Methods, systems, and computer-readable media for parameter variations for computations using a remote repository are disclosed. A first computation is assigned to a first set of one or more hosts. The first computation is associated with first parameters including one or more inputs and program code. A second computation is assigned to a second set of one or more hosts and is associated with a second set of parameters. Execution of the first computation is initiated using the first set of hosts and the first set of parameters. Local copies of the input(s) and program code are obtained from a storage service using a TO credential supplied by a repository manager. Execution of the second computation is initiated using the second set of hosts and the second set of parameters as obtained using a credential supplied by the repository manager.

Abstract: Provided is a method of spatially referencing a plurality of images captured from a plurality of different locations within an indoor space by determining the location from which the plurality of images was captured. The method may include obtaining a plurality of distance-referenced panoramas of an indoor space. The distance-referenced panoramas may each include a plurality of distance-referenced images each captured from one position in the indoor space and at a different azimuth from the other distance-referenced images, a plurality of distance measurements, and orientation indicators each indicative of the azimuth of the corresponding one of the distance-referenced images. The method may further include determining the location of each of the distance-referenced panoramas based on the plurality of distance measurements and the orientation indicators and associating in memory the determined locations with the plurality of distance-referenced images captured from the determined location.

Abstract: Characterizing the organization of microbial communities is a formidable challenge given the number of possible interactions between their components. Using a statistical approach initially applied to financial markets, we measured covariance among bacterial taxa in the gut microbiota of healthy members of a Bangladeshi birth cohort sampled monthly from 1-60 months and identified an ‘ecogroup’ composed of 15 co-varying bacterial taxa. A distinct ecogroup configuration is evident by the second postnatal month and develops to a mature form by 21 months. The ‘ecogroup’ provided a concise description of microbiota organization in healthy members of birth cohorts from several low-income countries, a means for monitoring community repair in undernourished children treated with therapeutic foods and serves as a framework for studying emergent characteristics of microbial communities.

Abstract: Methods, systems, and computer-readable media for parameter variations for computations using a remote repository are disclosed. A first computation to a first set of one or more hosts. The first computation is associated with first parameters including one or more inputs and program code. A second computation is assigned to a second set of one or more hosts and is associated with a second set of parameters. Execution of the first computation is initiated using the first set of hosts and the first set of parameters. Local copies of the input(s) and program code are obtained from a storage service using a credential supplied by a repository manager. Execution of the second computation is initiated using the second set of hosts and the second set of parameters as obtained using a credential supplied by the repository manager.

Abstract: Methods, systems, and computer-readable media for orchestration of computations using a remote repository are disclosed. A representation of one or more inputs to a computation is stored in a repository. The computation is assigned to one or more hosts of a plurality of hosts. A representation of program code executable to perform the computation is stored in the repository. A local copy of the one or more inputs is stored on the one or more hosts. The computation is initiated on the one or more hosts using the program code and the local copy of the one or more inputs. The computation is initiated for a plurality of keys. The computation succeeds for one or more keys after the computation has failed for one or more other keys. A representation of one or more outputs of the computation is stored in the repository.

Abstract: Methods, systems, and computer-readable media for a client-side filesystem for a remote repository are disclosed. One or more files of a repository are sent from a storage service to a client device. The file(s) are obtained by the client using a credential sent by a repository manager. Local copies of the file(s) are accessible via a local filesystem mounted at the client device. One or more new files associated with the repository are generated at the client device. Using the credential, the one or more new files are obtained at the storage service from the client device. The one or more new files are added to the repository.

Abstract: Provided is a method of spatially referencing a plurality of images captured from a plurality of different locations within an indoor space by determining the location from which the plurality of images was captured. The method may include obtaining a plurality of distance-referenced panoramas of an indoor space. The distance-referenced panoramas may each include a plurality of distance-referenced images each captured from one position in the indoor space and at a different azimuth from the other distance-referenced images, a plurality of distance measurements, and orientation indicators each indicative of the azimuth of the corresponding one of the distance-referenced images. The method may further include determining the location of each of the distance-referenced panoramas based on the plurality of distance measurements and the orientation indicators and associating in memory the determined locations with the plurality of distance-referenced images captured from the determined location.

Abstract: Provided is a method of spatially referencing a plurality of images captured from a plurality of different locations within an indoor space by determining the location from which the plurality of images was captured. The method may include obtaining a plurality of distance-referenced panoramas of an indoor space. The distance-referenced panoramas may each include a plurality of distance-referenced images each captured from one position in the indoor space and at a different azimuth from the other distance-referenced images, a plurality of distance measurements, and orientation indicators each indicative of the azimuth of the corresponding one of the distance-referenced images. The method may further include determining the location of each of the distance-referenced panoramas based on the plurality of distance measurements and the orientation indicators and associating in memory the determined locations with the plurality of distance-referenced images captured from the determined location.

Abstract: Provided is a method of spatially referencing a plurality of images captured from a plurality of different locations within an indoor space by determining the location from which the plurality of images was captured. The method may include obtaining a plurality of distance-referenced panoramas of an indoor space. The distance-referenced panoramas may each include a plurality of distance-referenced images each captured from one position in the indoor space and at a different azimuth from the other distance-referenced images, a plurality of distance measurements, and orientation indicators each indicative of the azimuth of the corresponding one of the distance-referenced images. The method may further include determining the location of each of the distance-referenced panoramas based on the plurality of distance measurements and the orientation indicators and associating in memory the determined locations with the plurality of distance-referenced images captured from the determined location.

Abstract: Provided is a method of spatially referencing a plurality of images captured from a plurality of different locations within an indoor space by determining the location from which the plurality of images were captured. The method may include obtaining a plurality of distance-referenced panoramas of an indoor space. The distance-referenced panoramas may each include a plurality of distance-referenced images each captured from one position in the indoor space and at a different azimuth from the other distance-referenced images, a plurality of distance measurements, and orientation indicators each indicative of the azimuth of the corresponding one of the distance-referenced images. The method may further include determining the location of each of the distance-referenced panoramas based on the plurality of distance measurements and the orientation indicators and associating in memory the determined locations with the plurality of distance-referenced images captured from the determined location.

Abstract: Provided is a method of spatially referencing a plurality of images captured from a plurality of different locations within an indoor space by determining the location from which the plurality of images were captured. The method may include obtaining a plurality of distance-referenced panoramas of an indoor space. The distance-referenced panoramas may each include a plurality of distance-referenced images each captured from one position in the indoor space and at a different azimuth from the other distance-referenced images, a plurality of distance measurements, and orientation indicators each indicative of the azimuth of the corresponding one of the distance-referenced images. The method may further include determining the location of each of the distance-referenced panoramas based on the plurality of distance measurements and the orientation indicators and associating in memory the determined locations with the plurality of distance-referenced images captured from the determined location.