Abstract: A secure data storage management “recovery system” operates in a cloud computing environment that is apart from a source system and source data being protected. A “recovery manager” in the cloud computing environment is responsible for restoring secondary copies that were generated by the source system. The recovery manager gains knowledge (metadata) about the secondary copies by restoring, for its own use, a management database of, and backed up by, the source system. The recovery manager initiates out-of-place restores of the secondary copies to “recovery clients” in the recovery cloud. The recovery system restores, to the recovery cloud, secondary copies from any cloud platform and/or from non-cloud data centers, including secondary copies stored locally, off-cloud by the source system. The recovery manager comprises new features that enforce its isolation from the source system and they act to protect the integrity of the secondary copies generated by the source system.

Abstract: Apparatuses, systems, and techniques to perform one or more operations using a tensor. In at least one embodiment, one or more circuits are to perform an application programming interface (API) to perform one or more operations using one or more tensors based on at least one or more indications of the plurality of operations by the API, one or more compiler options indicated by the API, and/or one of one or more indications of an amount of storage to be used to perform the one or more operations.

Abstract: Apparatuses, systems, and techniques to perform one or more operations using a tensor. In at least one embodiment, one or more circuits are to perform an application programming interface (API) to perform one or more operations using one or more tensors based on at least one or more indications of the plurality of operations by the API, one or more compiler options indicated by the API, and/or one of one or more indications of an amount of storage to be used to perform the one or more operations.

Abstract: Apparatuses, systems, and techniques to perform one or more operations using a tensor. In at least one embodiment, one or more circuits are to perform an application programming interface (API) to perform one or more operations using one or more tensors based on at least one or more indications of the plurality of operations by the API, one or more compiler options indicated by the API, and/or one of one or more indications of an amount of storage to be used to perform the one or more operations.

Abstract: A secure data storage management “recovery system” operates in a cloud computing environment that is apart from a source system and source data being protected. A “recovery manager” in the cloud computing environment is responsible for restoring secondary copies that were generated by the source system. The recovery manager gains knowledge (metadata) about the secondary copies by restoring, for its own use, a management database of, and backed up by, the source system. The recovery manager initiates out-of-place restores of the secondary copies to “recovery clients” in the recovery cloud. The recovery system restores, to the recovery cloud, secondary copies from any cloud platform and/or from non-cloud data centers, including secondary copies stored locally, off-cloud by the source system. The recovery manager comprises new features that enforce its isolation from the source system and they act to protect the integrity of the secondary copies generated by the source system.

Abstract: A data storage management system is enhanced to accommodate, and moreover to optimize, the storing and retention of deduplicated secondary copies at write-once read-many (WORM) enabled storage platforms. Enhancements include without limitation: user interface (UI) options to enable WORM functionality for secondary storage, whether used for deduplicated or non-deduplicated secondary copies; enhancements to secondary copy (e.g., deduplication copy, backup) operations; and pruning changes. The storage manager is generally responsible for managing the creation, tracking, and deletion of secondary copies, with and without deduplication. Media agents that store secondary copies to and prune them from the WORM-enabled storage platforms also are enhanced for communicating and interoperating with both bucket-level and object-level WORM-enabled storage platforms to implement the features disclosed herein.

Abstract: A data storage management system is enhanced to accommodate, and moreover to optimize, the storing and retention of deduplicated secondary copies at write-once read-many (WORM) enabled storage platforms. Enhancements include without limitation: user interface (UI) options to enable WORM functionality for secondary storage, whether used for deduplicated or non-deduplicated secondary copies; enhancements to secondary copy (e.g., deduplication copy, backup) operations; and pruning changes. The storage manager is generally responsible for managing the creation, tracking, and deletion of secondary copies, with and without deduplication. Media agents that store secondary copies to and prune them from the WORM-enabled storage platforms also are enhanced for communicating and interoperating with both bucket-level and object-level WORM-enabled storage platforms to implement the features disclosed herein.

Abstract: An illustrative efficient failover process and system in virtualized environment to reduce costs and resources associated with maintaining live stand-by failover scheduling and maintenance system is described herein. The illustrative embodiment uses incremental backup data to maintain a failover or passive virtualized computing platforms comprising of one or more virtual machines that are configured to and ready to be scaled up and initiated to take over the tasks and operations of a lost storage manager. Each virtualized failover or passive node is initially configured to use minimal computing resources to maintain a live backup of the active storage manager. During a failover, a passive virtual node will initiate the failover process. In an embodiment, the failover process comprises restoring a secondary copy of the lost storage manager, initiating a scale up process to increase computing resources, and continuing scheduled tasks and operations of the lost storage manager.

Abstract: An illustrative air-gapped data storage site for storing secure copies at the air-gapped storage site. Using specialized air-gapped media agents installed within the air-gapped storage pool site, the illustrative system, at an unpredictable time, establishes a one-way tunnel from secondary storage site to air-gapped site to receive backup copies of the data stored at primary site. In another embodiment, during disaster recovery, backup copies stored within the air-gapped site are replicated to a non-air gapped site (e.g., secondary storage pools) as “tertiary copies.” Those copies are then restored to the primary site in original application data formats for quick recovery. As restoration of data is complete, the tertiary copies are promoted to “secondary copies” to receive incremental backups.

Abstract: A data storage management system is enhanced to accommodate, and moreover to optimize, the storing and retention of deduplicated secondary copies at write-once read-many (WORM) enabled storage platforms. Enhancements include without limitation: user interface (UI) options to enable WORM functionality for secondary storage, whether used for deduplicated or non-deduplicated secondary copies; enhancements to secondary copy (e.g., deduplication copy, backup) operations; and pruning changes. The storage manager is generally responsible for managing the creation, tracking, and deletion of secondary copies, with and without deduplication. Media agents that store secondary copies to and prune them from the WORM-enabled storage platforms also are enhanced for communicating and interoperating with both bucket-level and object-level WORM-enabled storage platforms to implement the features disclosed herein.

Abstract: As the volume of data under management expands rapidly, so do the costs associated with storing and that data on secondary storage devices. The illustrative approach provides an improvement to the information management system by delaying certain tasks that meet a set of criteria until a specified threshold is met. The system receives a request to be performed on a set of data stored on secondary devices. Power management module determines whether the task satisfies a set of criteria for delayed execution, queues the task, and when a specified threshold of the queued tasks is met powers up the necessary components to execute the tasks.

Abstract: Performing an adversarial attack on a neural network classifier is described. A dataset of input-output pairs is constructed, each input element of the input-output pairs randomly chosen from a search space, each output element of the input-output pairs indicating a prediction output of the neural network classifier for the corresponding input element. A Gaussian process is utilized on the dataset of input-output pairs to optimize an acquisition function to find a best perturbation input element from the dataset. The best perturbation input element is upsampled to generate an upsampled best input element. The upsampled best input element is added to an original input to generate a candidate input. The neural network classifier is queried to determine a classifier prediction for the candidate input. A score for the classifier prediction is computed. The candidate input is accepted as a successful adversarial attack responsive to the classifier prediction being incorrect.

Abstract: An information management system implements a media agent that communicates with a network area storage (NAS) device to receive secondary copy data that has been backed-up by the NAS. The secondary copy data may include primary data managed or maintained by the NAS. The secondary copy data may be in a proprietary format or other data format specific to the NAS. The NAS may prepare metadata or other information about the secondary copy data that informs the media agent as to the contents of the secondary copy data. The media agent may segment the secondary copy data into one or more backup chunks for storing in a secondary storage device. In addition, each of the backup chunks may be associated with backup chunk metadata, where the backup chunk metadata includes information that describes certain information stored by a corresponding backup chunk.

Abstract: The present invention relates to a process and a system for the production of liquid hydrocarbons by thermo-catalytic cracking of plastic waste. The invention relates to a technique for efficiently producing high-quality liquid fuel using designed reactor setup for the cracking of waste plastic. The invention also relates to a thermo-catalytic cracking method, which occurs in the presence of zeolite-based catalysts, more preferably the zeolite catalysts impregnated with transition metals which remain catalytically active up to 8-10 sets of reactions with higher selectivity of petroleum range hydrocarbons. The present invention also relates to a two-step approach system for the production of liquid hydrocarbons.

Abstract: Performing an adversarial attack on a neural network classifier is described. A dataset of input-output pairs is constructed, each input element of the input-output pairs randomly chosen from a search space, each output element of the input-output pairs indicating a prediction output of the neural network classifier for the corresponding input element. A Gaussian process is utilized on the dataset of input-output pairs to optimize an acquisition function to find a best perturbation input element from the dataset. The best perturbation input element is upsampled to generate an upsampled best input element. The upsampled best input element is added to an original input to generate a candidate input. The neural network classifier is queried to determine a classifier prediction for the candidate input. A score for the classifier prediction is computed. The candidate input is accepted as a successful adversarial attack responsive to the classifier prediction being incorrect.

Abstract: As the volume of data under management expands rapidly, so do the costs associated with storing and that data on secondary storage devices. The illustrative approach provides an improvement to the information management system by delaying certain tasks that meet a set of criteria until a specified threshold is met. The system receives a request to be performed on a set of data stored on secondary devices. Power management module determines whether the task satisfies a set of criteria for delayed execution, queues the task, and when a specified threshold of the queued tasks is met powers up the necessary components to execute the tasks.

Abstract: In one embodiment, a mounting device engageable with a fence includes a mounting platform from which a first engaging member and a second engaging member extend. The first engaging member includes a number of receptacles configured to receive a portion of a fence wire, and the second engaging member includes a number of receptacles configured to receive a portion of a fence wire. In one form, a portion of the first engaging member including the number of receptacles is movable relative to the mounting platform and a portion of the second engaging member including the number of receptacles is movable relative to the mounting platform. The mounting device may be used, for example, in connection with the positioning of one or more items relative to the fence.

Abstract: What is disclosed is a system and method for forecasting and imputing an unknown vital measurement of a patient. Temporally successive patient vital measurements are received which comprise irregularly sampled observations {y1, . . . , yN}, where yj denotes the jth observation at time tj, and N is the number of samples. The vital measurements are then provided to a model trained using historical data of patient vital measurements. The model generates a parameter set ?=(A,B,C), where A is a state transition matrix, B is a control matrix, and C is a matrix which maps state-space variables to observation variables. The parameters are used to obtain state-space variable zt which, in turn, is used to forecast an unknown observation yN+1 or to impute an unknown observation yt, where 1<t<N. The historical data is then updated with the forecasted observation yN+1 or the imputed unknown observation yt.

Abstract: Systems and methods of modeling irregularly sampled time series signals with unknown temporal dynamics are disclosed wherein a temporal difference variable (TDV) is introduced to model irregular time differences between subsequent measurements. A hierarchical model is designed comprising two linear dynamical systems that model the effects of evolving TDV on temporal observations. All the parameters of the model, including the temporal dynamics, are statistically estimated using historical data.

Abstract: The instant invention describes biisoquinoline compounds having therapeutic activity, and methods of treating disorders such as cancer, tumors and cell proliferation related disorders, or affect cell differentiation, dedifferentiation or transdifferentiation.