International Business Machines Corporation

Satyam Jakkula

Sarbajit Kumar Rakshit

Sudheesh S Kairali

Sudhanshu Sekher Sar

Raghuveer Prasad Nagar

Manjit Singh Sodhi

Kshitiz Shrivastava

Maureen Kraft

A method, computer program product, and computer system for optimizing locations of micro-warehouses that minimize an aggregate carbon footprint within a geographical region. A first trained artificial intelligence model is used to extract, for a geographical region, a product demand of users located in the geographical region over a fixed time period, and delivery location clusters within the geographical region. The delivery location clusters output by the first trained artificial intelligence model is input into a regression model, the regression model outputting recommended locations of temporary micro-warehouses within the geographical region. A second trained artificial intelligence model is used to modify the recommended locations and output optimized locations based on reducing an aggregate carbon footprint caused by emissions resulting from transportation to and from the temporary micro-warehouses.

Minimizing aggregate carbon footprint within geographical region

Mechanisms are provided for controlling docking of an edge capacity with a cloud computing system. A bill of materials (BOM) enabled agent, executing on the edge capacity, sends a BOM data structure specifying components of a configuration of the edge capacity. A lookup operation of components of the BOM data structure is performed in a BOM controls mapping data structure to identify controls or policies applicable to the components of the BOM data structure. The identified controls/policies are transmitted to the BOM enabled agent for execution to determine if there are any violations. Results of the identified controls or policies are received which specify whether there are any violations of the controls/policies. In response to at least one violation being detected, docking of the edge capacity with the cloud computing system is denied. In response to no violations, the edge capacity docks with the cloud computing system.

Dynamic SBOM based secure docking of edge capacity to existing computing systems

A method, computer program product, and computer system are provided for smart log shipping in a heterogeneous computing environment. A first edge device and a second edge device in a heterogeneous cloud computing environment are identified. The first edge device is caused to transmit collected log data associated with the first edge device to the second edge device based on a lack of network connectivity between the first edge device and a cloud data center. The transmitted collected log data is received from the second edge device.

Smart log shipping in a heterogenous cloud computing environment

A computer-implemented method according to one embodiment includes establishing a handshake between a security and compliance center (SCC) and a first operator of a first cluster via a manager component therebetween. An operand mapping of the SCC is updated, and the established handshake is used to cause the update to be communicated to the first operator of the first cluster. A computer program product according to another embodiment includes a computer readable storage medium having program instructions embodied therewith. The program instructions are readable and/or executable by a computer to cause the computer to perform the foregoing method. A system according to another embodiment includes a processor, and logic integrated with the processor, executable by the processor, or integrated with and executable by the processor. The logic is configured to perform the foregoing method.

Using a handshake to communicate between a security and compliance center (SCC) and at least a first operator

Provided are a computer program product, system, and method for generating expanded content in a video stream based on predicting viewer behavior. A determination is made of promoted content rendered in the video. In response to determining the promoted content, invoking at least one machine learning model to perform determining whether a viewer of the video is interested in the promoted content and generating expanded content for a duration in response to determining that the viewer of the video is interested in the promoted content. The rendering of the video is paused and the expanded content is rendered for the duration while pausing the rendering of the video. The rendering of the video is continued in response to completing the rendering of the expanded content.

Generating expanded content in a video stream based on predicting viewer behavior

A method and system provide computer system security for a focus computer system (FCS). The method comprises creating a security digital twin (SDT) for the FCS with an associated security ontology for the FCS. A potential threat analyzer receives a potential threat object (PTO), and maps it to an enterprise attack vector pattern. The method further comprises searching, on another computer system (OCS) for a predicted attack pattern having a similar pattern to the enterprise attack vector pattern. Conditioned upon finding the predicted attack pattern, and using a potential threat handler locating an action mitigation plan (AMP) related to the predicted attack pattern in the data fabric associated with the OCS, the method further comprises copying the OCS predicted attack pattern to an FCS predicted attack pattern store, copying the OCS AMP to an FCS AMP store, and defending the FCS from the PTO using the AMP.

Fast forwarded security issue identification using digital twins

A set of one or more media items is identified by a first computer system configured to host media items for various users. The set of media items has a first relationship. A content analysis is performed on the set of one or more media items. The content analysis is based on a first machine-learning model. A first content pattern contained within the set of media items is determined based on the content analysis. A first set of one or more altered media items is generated in response to the first content pattern.

Proactive privacy content hosting

A method can include obtaining personal data of a user and generating, based at least in part on the personal data of the user, a taste profile of the user. The taste profile can include a set of food characteristics that corresponds to one or more food preferences of the user. The method can include obtaining contextual data that corresponds to a location of the user. The method can include generating, based at least in part on the taste profile and the contextual data, a food recommendation. The food recommendation can include a predicted food preference of the user. The method can include transmitting the food recommendation to the user.

Taste profile system

A system for providing a travel recommendation to a user device includes a memory having instructions therein and at least one processor in communication with the memory. The at least one processor is configured to execute the instructions to receive communications of event data from the user device and generate an event schedule based at least in part on the event data. The at least one processor is also configured to execute the instructions to receive communications of travel context data and generate, using a cascaded machine learning model, a predicted optimal travel itinerary based at least in part on the event schedule and the travel context data. The at least one processor is also configured to execute the instructions to communicate the predicted optimal travel itinerary for reception by the user device.

Cascaded machine learning travel agent

A method for directional based commands includes responsive to initializing an augmented reality device associated with a user, establishing a field of view for the augmented reality device associated with the user. The method establishes boundaries for a directional command area, where the directional command area includes a plurality of devices configurable to receive commands from the augmented reality device associated with the user. The method receives a first command performable by at least two devices from the plurality of devices and receives orientation data from the augmented reality device associated with the user. The method determines a first device from the plurality of devices for performing the first command based at least on the orientation data and the field of view of view for the augmented reality device associated with the user and sends the first command to the first device.

Directional based commands

A method includes providing a smart contact lens including an array of beamforming microphones, wherein the smart contact lens is worn by a user and the array of beamforming microphones receive sound from different directions, determining a gaze direction of the user, filter the sound received by the array of beamforming microphones based on the gaze direction of the user to determine filtered sound, and output the filtered sound via a bone conduction hearing device.

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Bengaluru, India

Satyam Jakkula