Abstract: Apparatuses, methods, and systems are disclosed for techniques for an overhead camera. An apparatus includes a processor and a memory that stores code that is executable by the processor. The code is executable by the processor to receive hinge position data from at least one hinge sensor, receive orientation data from at least one orientation sensor, and enable at least one camera in an overhead camera mode based on the hinge position data and the orientation data.

Abstract: A system and process analyze data in an artificial neural network by receiving the data into the artificial neural network, and functionally encrypting the data at a plurality of inner input nodes in the artificial neural network. The functionally encrypted data are processed in the artificial neural network, and an output is generated from the processing of the functionally encrypted data in the artificial neural network.

Abstract: One embodiment provides a method, the method including: detecting, at an information handling device utilizing a input detection system and while the information handling device is in a low power state, a physical user input at an input mechanism of the information handling device, wherein the detecting comprises detecting a force at the input mechanism; determining, utilizing the input detection system, the physical user input comprises a request to power-on the information handling device; and powering on the information handling device. Other aspects are claimed and described.

Abstract: The integrity of a data file that is transmitted from a sender to a receiver is validated. An initial seed is calculated using key material from the sender and the receiver, and random source data. The initial seed is provided to a deterministic random number generator. The deterministic random number generator executes a plurality of times, thereby generating a plurality of random values. A plurality of blocks in the data file is selected as a function of the random values, and a hash value for each of the plurality of blocks is generated. The integrity of the data file is then validated by comparing the hash value for each of the plurality of blocks of the sender to the hash value for each of the plurality of blocks of the receiver.

Abstract: A secure information storage and retrieval system and method receive a prompt, and tokenize the prompt, and output a response responsive to the prompt, where the response includes designated content responsive to the prompt including a designated trigger. The designated content can be sensitive information stored in the weights of a large language model (LLM).

Abstract: Users in an artificial intelligence (AI) system are associated with a tenant in a large language model (LLM). The tenant is associated with a particular execution thread in the LLM. The particular execution thread includes branches, and each branch associated with its own branch encryption key. The tenant is associated with one or more AI policies in the LLM. Updates related to the tenant are associated with changes to the LLM in a particular branch of the plurality of branches in the particular execution thread. A core file system in the AI system is associated with a file encryption key. The file encryption key and the branch encryption key are used to aggregate, from a root of the particular branch to a specific leaf of the particular branch, each of multiple subbranches of the particular branch, thereby generating a tenant specific virtual LLM model.

Abstract: A system management application includes program instructions for monitoring performance of a process running on a compute node of a computing system and providing a plurality of permission rules to be implemented by a fine-grain control system running on the compute node. Each permission rule instructs the fine-grain control system to permit or deny the process with access to specific resources. Access error data is received from the compute node identifying an access error indicating that the process was denied access to a specific resource by the fine-grain control system. The access error data is provided to an artificial intelligence model that has been trained to generate permission rules and an update of the permission rules is generated, wherein the update permits the process to access the specific resource. The update is then provided to the fine-grain control system.

Abstract: A system to determine path trajectory using functional encryption receives training data relating to the path trajectory (610), and functionally encrypts the training data, thereby creating first function values that comprise no private user data (620). The system extracts features from the first function values (630), and uses the features to train a machine learning algorithm (640). The system then receives test data relating to the path trajectory (650), and functionally encrypts the test data, thereby creating second function values that comprise no private user data (660). The system provides the second function values to the trained machine learning algorithm (670), and provides a prediction or a decision relating to the path trajectory based on the second function values.

Abstract: A human interface device (HID) such as a keyboard or a mouse receives data, the HID cryptographically signs the data using a private key of a first user. The HID generates a report using the cryptographically signed data, and transmits the report to a processor for use in authenticating that the data were input by a human.

Abstract: A computer implemented method includes receiving a prompt and generating a query based on the prompt. A first data source having original data with different classifications is accessed to obtain first data source data responsive to the query. The obtained first data source data is processed to generate curated data. The curated data and prompt is provided to a large language model. A first language response is received from the large language model based on the curated data and the prompt.

Abstract: A computer implemented method includes receiving a prompt from a requestor for a large language model, the prompt including a request and a key identifier. The request is processed via a large language model to generate a response. The key identifier is also processed via the large language model to retrieve a signature key. The signature key may be used to sign the response to generate a signature, which may be sent along with the response to the requestor. Shards of the signature key may be spread over the large language model and accessed via the key identifier. A threshold number of signature key shards may be received to enable retrieval of the signature key.

Abstract: A camera device and method are described that perform object detection on sensor data generated by an image sensor to detect an input device within an environment outside of the camera device. The camera device and method analyze the sensor data to detect a hand of a user within the environment, and determine an impending use of the input device by the user based on a proximity of the hand to the input device and/or movement of the hand. Responsive to determining the impending use, the camera device and method generate an image data stream that includes altered image content within an area of interest that encompasses in the input device. The altered image content is not an accurate representation of the hand manipulating the input device in the environment, thereby precluding capture of manual data entry in the image data stream.

Abstract: Apparatuses, methods, and systems are disclosed for heat-based authentication. An apparatus includes a processor and a memory that stores code that is executable by the processor. The code is executable by the processor to capture a thermal image of an object placed within a heated environment, identify at least one characteristic of the object based on the thermal image, and determine an authenticity of the object based on the at least one characteristic.

Abstract: Apparatuses, method, systems, and program products are disclosed for techniques for extracting information from graphical objects. A method includes detecting an interaction event associated with a first graphical object or a second graphical object. The first and second graphical objects are displayed on a display device. The method includes extracting a set of information associated with the second graphical object and sending the set of information associated with the second graphical object to an AI/ML model. The method includes receiving, from the AI/ML model, a response that is generated based on the set of information associated with the second graphical object.

Abstract: A method for communications in a network can include performing a pairing between a first device and a second device in the network. The method can include deriving a port knocking sequence from identification information of the pairing. The method can include providing port knocking according to the port knocking sequence. The method can include authorizing a connection between the first device and the second device responsive to detecting the port knocking sequence. Other devices and methods are described.

Abstract: One embodiment provides a device, including: identifying, utilizing an input establishment system, a form factor of an information handling device comprising a plurality of displays and being convertible into more than one form factor; determining, based upon at least the form factor identified, an operating mode for the information handling device; and establishing, utilizing the input establishment system and based upon the operating mode, one or more input areas on the information handling device. Other aspects are claimed and described.

Abstract: A laptop electronic device is provided that can include a sensor configured to detect third-party cameras, one or more processors, and a data storage device having executable instructions accessible by the one or more processors. Responsive to execution of the instructions, the one or more processors can be configured to monitor an environment for the third-party cameras based on data collected from the sensor, and provide a remedial action in response to detecting at least one of the third-party cameras.

Abstract: In one aspect, a laptop computer includes a processor system and storage accessible to the processor system. The storage includes instructions executable by the processor system to identify an object located behind a transparent display of the laptop computer, and to identify a user’s angle of view toward the object. The instructions are then executable to actuate the transparent display to render a first area of the display transparent according to the angle of view for the user to see the object through the first area of the transparent display. Accordingly, the transparent display can be selectively controlled by the laptop for the user to see objects through the display even though the objects are located behind the display.

Abstract: A system for monitoring a user of a primary electronic device is provided that includes a primary electronic device having a memory to store executable instructions and one or more processors. When implementing the executable instructions, the one or more processors can be configured to obtain electronic device context data, detect a presence of at least one secondary electronic device in a controlled environment of the primary electronic device based on the electronic device context data, identify the at least one secondary electronic device as a rogue secondary electronic device, and implement a remedial action based on at least one of the electronic device context data or identifying the at least one secondary electronic device as the rogue secondary electronic device.

Abstract: Apparatuses, methods, systems, and program products are disclosed for enabling user-defined and user-controlled management of streaming audio. An apparatus includes a processor, and coupled to the processor, a memory that stores code executable by the processor to enable a user to selectively conjoin at least one control function for a first audio streaming component and a second audio streaming component and to enable the user to simultaneously control the first audio streaming component and the second audio streaming component with the at least one control function, and a user interface.