Patent classifications
G06F16/9027
Efficient discovery of a binary tree pattern from a large amount of binary tree data
An apparatus decomposes a first binary tree pattern into combinations of multiple binary tree units in accordance with a predetermined procedure. When a second binary tree pattern configured as a combination of binary tree units that are among the multiple binary tree units and include a top binary tree unit of the multiple binary units is associated with a subset of a target binary tree data, the apparatus searches the target binary tree data for the first binary tree pattern by using positions of the subset within the target binary tree data.
Generating hash trees for database schemas
Techniques are disclosed relating to determining whether a set of database schemas are different. A computer system may receive a request to create a snapshot for a set of data stored in a database having a first database schema. In response to receiving the request, the computer system may create the snapshot for the set of data. As part of the creating, the computer system may generate, based on the first database schema, a first hierarchy of hash values that includes a first root hash value for the first database schema. The first hierarchy of hash values may be usable to determine whether the first database schema is different from a second database schema. The computer system may include the first hierarchy of hash values with the snapshot.
Methods and systems for diverse instance generation in artificial intelligence planning
Embodiments for creating planning tasks are provided. A plurality of atoms are generated. The plurality of atoms are partitioned into a plurality of variables. A casual graph is generated based on the plurality of variables. A layered graph including interchanging variable value layers and action layers is created based on the casual graph. A planning task is generated based on the layered graph.
GRAPHICS PROCESSING
An instruction (or set of instructions) that can be included in a program to perform a ray tracing acceleration data structure traversal, with individual execution threads in a group of execution threads executing the program performing a traversal operation for a respective ray in a corresponding group of rays such that the group of rays performing the traversal operation together. The instruction(s), when executed by the execution threads in respect of a node of the ray tracing acceleration data structure, cause one or more rays from the group of plural rays that are performing the traversal operation together to be tested for intersection with the one or more volumes associated with the node being tested. A result of the ray-volume intersection testing can then be returned for the traversal operation.
STORAGE OF TREE DATA STRUCTURES
Disclosed herein is a computer-implemented method for storing binary tree data in memory. The binary tree data comprises parent node data, first child node data and second child node data. The computer-implemented method comprises determining a first child node memory address, the first child node memory address being less than a parent node memory address; determining a second child node memory address, the second child node memory address being greater than the parent node memory address; storing the parent node data at the parent node memory address; storing the first child node data at the first child node memory address; and storing the second child node data at the second child node memory address.
ASSISTANT NODES IN DIRECTOR-BASED DATABASE SYSTEM FOR TRANSACTIONAL CONSISTENCY
Techniques are disclosed relating to a database system includes worker nodes operable to perform transactions and director nodes operable to ensure transactional consistency for the transactions. A worker node may receive a request to perform a transaction involving writing a record. The worker node may then issue, to director nodes of the database system, a request for information that facilitates performance of an operation for the transaction. A director node may determine whether to approve the request based on whether the operation could cause transactional inconsistency in the database system. The worker node may proceed to perform the operation for the transaction in response to receiving approval responses from a majority of the director nodes, with none of the received responses indicating a disapproval of the transaction.
CONDENSING HIERARCHIES IN A GOVERNANCE SYSTEM BASED ON USAGE
Embodiments of the present invention provide methods, computer program products, and systems. Embodiments of the present invention can condense a hierarchy in a data governance system, wherein the hierarchy comprises a root node and at least one child node comprising related sub-trees by determining, for a parent node in the hierarchy of governance system, governance terms and respective assignment relationships from a plurality of information assets, determining usage of the governance term in at least one of a plurality of governance rules, and marking a governance term of the plurality of governance terms for elimination based on the determined assignment relationships and the determined usage of the governance term in the plurality of governance rules. Embodiments of the present invention can then delete the governance term from the hierarchy if the governance term is marked for elimination.
Deployment of self-contained decision logic
In one aspect there is provided a method. The method may include collecting one or more functions that implement the decision logic of a solution. A snapshot of the one or more functions can be generated. The snapshot can executable code associated with the one or more functions. The solution can be deployed by at least storing the snapshot of the one or more functions to a repository Systems and articles of manufacture, including computer program products, are also provided.
Method for generating metadata-free trees
A method for storing hierarchical data protected by access data in an untrustworthy environment, wherein unique identification values of child nodes of at least one associated tree are determined for the data and are stored together with the data. The root node entry point is calculated based on the access data by means of a predeterminable calculation function in a volatile way, and the root node entry point represents a secret node entry point from which the identification value of a root node of the tree is subsequently calculated. The root node represents one of the child nodes in this tree, as a child node generation step is applied to generate the identification values of the child nodes based on one of the secret node entry points. A child node numbering set contains at least as many different elements as the number of child nodes to be generated is created or used.
Visualization of training dialogs for a conversational bot
This document relates to creating and/or updating a chatbot using a graphical user interface. For example, training dialogs for a chatbot can be displayed in a tree form on a graphical user interface. Based at least on interactions between a developer and the graphical user interface, the training dialogs can be modified in the tree form, and training dialogs can be updated based on the modifications provided on the tree form via the graphical user interface.