Ethosai: An Architectural Paradigm For Security And Auditability In Hybrid Agentic Ai Systems, Hp Inc

Defensive Publications Series

This disclosure presents EthosAI, a security architecture for distributed AI agent systems combining mandatory communication interception with context-aware policy enforcement. The key innovation is the symbiosis between: (1) a transparent sidecar proxy that architecturally prevents bypass by intercepting all agent communications, and (2) a Policy Enforcement Engine (PEE) that makes real-time authorization decisions based on rich contextual metadata (data origin, geographic location, temporal constraints, interaction patterns) embedded in standardized MCP packets. This prevents agent collusion, enables complete audit trails across organizational boundaries, and enforces data sovereignty in hybrid cloud environments.

Ai-Driven Dynamic Generation Of User Interfaces, Raviteja Govindaraju, Harshdeep Singh

Defensive Publications Series

The predominant mode of interaction with artificial intelligence (AI) models is text or speech queries. The reliance on such chat-centric interfaces requires users to formulate specific and detailed (series of) questions to elicit the desired response from the AI model. This disclosure describes techniques that dynamically generate interactive user interfaces in response to user queries directed at an AI model. The techniques augment conventional chat-based interactions by interpreting the context and the user’s intent to construct a relevant graphical user interface (GUI) that facilitates further exploration and action. The GUI can include mouse (e.g., click, drag-and-drop, etc.) or touch-driven commands, …

Search Management On An Extended Reality Device, Katherine Faith Erdman, Xingyue Chen, Julia Rose Reichel, Stephen Ervin

Defensive Publications Series

Performing searches on extended reality (XR) devices can be inefficient, as users can struggle to manage multiple information streams, track their search history, and organize findings within an immersive environment. This disclosure describes an enhanced search management interface for XR devices. The interface displays content across three distinct portions of the display. A first portion shows the primary search results or selected web content. A second portion maintains a visual log of the user’s search path, including previously visited pages and the original results list. A third portion functions as a note-taking area where users can drag and drop links, …

(((Qpie))) A Unified Field Of Meaning, Measurement, And Human Potential, Teddy Burroughs

Defensive Publications Series

A Unified Field of Meaning, Measurement, and Human Potential

QPIE: The Quantum Perspective Is Everything

A Unified Field of Meaning, Measurement, and Human Potential

Date: November 4 2025 Author: Teddy Burroughs (#TedFunding) (Inspired by Aleah Burroughs, Kaiya Burroughs, Briana Burroughs, Reya Burroughs, Teddy Burroughs Jr, Arylise Burroughs) Affiliations: Avision4Change | Vision2Funding | Voyager | Aetheris — under the QPIE OS Banner

I. The Birth of QPIE — From Observation to Participation

Every scientific revolution begins when an old boundary dissolves. Newton separated matter from mind; Einstein fused space and time; quantum theory, in its most unsettling twist, revealed that the …

Qpie Os / Nsrf — Civic Prior-Art Declaration & Executive Brief, Teddy Burroughs

Defensive Publications Series

QPIE OS / NSRF — Civic Prior-Art Declaration & Executive Brief

Decoherence in the Commons: The Day Brooklyn Missed the Wave – The Resonance Brooklyn Couldn’t Hear!!!

Filed as Civic Prior-Art Record under QPIE OS / NSRF Protocol

Reference Hash: b4a1cdd8f9326f57c6c6d5a9082f74adcb95e39b3948c19774e2c0b85ab3a0ef Date: November 3 2025 Author: Teddy Burroughs (#TedFunding) (Inspired by Aleah Burroughs, Kaiya Burroughs, Briana Burroughs, Reya Burroughs, Teddy Burroughs Jr, Arylise Burroughs) Affiliations: Avision4Change | Vision2Funding | Voyager | Aetheris — under the QPIE OS Banner

Preface · Purpose & Provenance

This document records the full scope of an invitation once extended to the Brooklyn Public Library (BPL) …

Cloud-Based Battery Health Diagnostics Using Machine Learning, Tim Yeh, Kang Kang

Defensive Publications Series

To evaluate battery conditions and predict the remaining operational lifespan of a battery, traditional techniques use empirical rules or model-based approaches based on electrochemistry. However, the complex and non-linear degradation patterns observed under diverse real-world operating conditions are frequently not captured by such empirical rules or model-based approaches. This disclosure describes cloud-based battery-health diagnostics and prognostics techniques that leverage machine learning (ML) to provide accurate and reliable assessment of the state of health (SOH) of the battery and predict its remaining useful life (RUL) across diverse battery chemistries, applications, and operating conditions. The cloud-based architecture aggregates data from large battery …

Temporal Prediction Model For Executing Orchestration Functions In Optical Network, Anonymous

Defensive Publications Series

[0001] The present disclosure relates to systems and methods for a temporal prediction model for executing orchestration functions in optical networks. Predictive modeling for provisioning optical services and functions within an optical communication network involves a trained temporal prediction model (“model”). This begins with collecting execution times from each device and interface for various orchestration functions, followed by timing processes at each network element (NE), including issuing, acknowledging, executing commands, and waiting for devices to reach a ready state. The model then establishes correlations between different functions and their provisioning times based on network complexity. Temporal dependencies are recorded between …

Configuring Terminal Access To Non-Terrestrial Networks During Emergencies Through Broadcasted Authorization Data, Jean-Philippe Cormier, Pavan Nuggehalli

Defensive Publications Series

During events such as emergencies or terrestrial network outages, non-terrestrial networks (NTNs) may need to provide temporary access to specific, non-subscribed user equipment (UEs), such as smartphones or other computing devices, while managing potential network overload. This disclosure describes a method for dynamic and selective access control. An NTN can broadcast authorization data, for example a list of allowed international mobile subscriber identity ranges or an access probability threshold, using a broadcast mechanism such as evolved multimedia broadcast multicast services or a configuration channel like TS.43. On a device, a specialized application can receive this information. If the UE is …

Adaptive Satellite Modem Management Based On User And Device Context For Power Optimization, Shailesh Maheshwari, Sat K, Sooraj Sasindran, Chinmay Dhodapkar

Defensive Publications Series

Inconsistent satellite service coverage for mobile devices, such as a smartphone or wearable device, may cause increased power consumption as a modem repeatedly searches for a stable signal, particularly in locations with compromised reception. A method is described for managing power usage by controlling satellite modem activity based on user and device context. The approach may use contextual triggers, for example, screen status, device location (e.g., indoors or in a pocket), battery level, and historical connectivity patterns, to place the modem into a dormant mode when a reliable connection is determined to be unlikely. The system can also use service …

Bypassing Connection Backoff Timers During Voice Over Wi-Fi To Voice Over Long Term Evolution Handover Failures, Max Mo, Poying Chuang

Defensive Publications Series

A handover failure from a first communication service, such as voice over Wi-Fi, to a second communication service, such as voice over long-term evolution, may trigger a backoff timer on a user equipment (UE). This can delay the establishment of an IP multimedia subsystem (IMS) packet data network (PDN) connection and result in a temporary loss of voice service. This disclosure describes a method to address this issue. When the UE receives a PDN CONNECTIVITY REJECT message with one of a set of designated cause codes (e.g., "missing or unknown access point name") following a PDN connectivity request made for …

Dynamic Management Of Radio Access Technologies For Calling, Max Mo, Yuantao Lee, Poying Chuang, Peggy Huang

Defensive Publications Series

A system is described for managing radio access technologies used for calling. A network carrier may provide call support on a particular radio access technology (RAT) that the user has disabled. The disclosed methods can involve a user equipment (UE) detecting the initiation of a call that requires access to a particular RAT. In response, the UE may automatically and temporarily re-enable the disabled RATs for the call's duration, and may optionally revert the setting afterward. An alternative method can involve the UE proactively identifying when it is in a region where a specific RAT is utilized for certain calls …

Selective Battery Charging Profile Management Via Cloud-Based Sparse Serial Number Validation, Yao Ding, Amos Lee

Defensive Publications Series

To help manage performance and reliability risks that may be associated with unverified user-removable batteries in devices, such as hearables, an authentication method can be used as an alternative to certain traditional cryptographic techniques. The described technology may utilize a low-power integrated circuit within the battery pack that stores a unique serial number (S/N) from a sparsely populated namespace, where many possible S/Ns can be deliberately unused. Upon battery insertion, a host device can read the S/N and send it for validation via a cloud-based server. This verification can allow the system to differentiate authentic batteries from unverified or counterfeit …

Decentralized Architecture For Collaborative Ai Agents Sharing Synthesized Knowledge., Gaurav Gupta, Ashish Tendulkar

Defensive Publications Series

Some personal artificial intelligence assistants may present a trade-off between collaborative functionality and user data privacy. The disclosed technology describes a decentralized architecture where a personal artificial intelligence agent can operate on a user's local computing device (e.g., a smartphone, smart watch, wearable device, laptop computer, augmented reality glasses, etc.). The agent can utilize a locally trained personal likeness model and a secure on-device data vault to process information. A decentralized collaboration module may enable peer-to-peer communication between agents, governed by user-managed permissions. During collaboration, a privacy-preserving query protocol can be used to exchange synthesized, abstract knowledge summaries rather than …

Automated Software Bug Reproduction Via An Iterative Multi-Agent System., Leonid Kuligin

Defensive Publications Series

Resolving software defects can be delayed by incomplete bug reports, which may require manual developer follow-up to obtain information needed for reproduction which increases the time required to fix the bug (mean-time-to-resolve). The disclosed technology describes an automated, iterative multi-agent system that can process these reports. The system can ingest a report (for example, a bug raised by a user through an issue tracker) and use specialized agents (for example, for coding, verification, and reflection) within a reproduction loop to attempt to generate a runnable code example that triggers the described error. A reflection agent can analyze failed attempts to …

Multimodal Artificial Intelligence Based Solver, Cliff Kuang, Yangfan Wu, Kelly Tsai

Defensive Publications Series

This document describes a multimodal AI-based solver that is usable to perform various tasks related to mathematical calculations within a user’s context. The solver helps users understand quantifiable problems in their current context and assists in obtaining solutions and making sense of them. The solver also helps users take action on these solutions. The solver user interface is provided within the user's current task context. The solver is implemented using a large language model (LLM) as its backend. This improves the user experience of performing calculations, taking actions based on those calculations, and interpreting numbers in real-world context,

Strengthening On-Device Trust Anchors With Rotation And Multiple Sources, Darren Krahn

Defensive Publications Series

This disclosure describes a scheme to strengthen on-device trust anchors using key rotation and multiple sources. The trust anchors enable device-to-device authentication where software relies on the trust anchor. The described scheme includes rotating public keys over time. A device receives a list of trusted public keys from multiple sources, with the final trust anchor being the intersection of the copies of the list received from the different sources. This approach offers benefits such as enhanced security if individual sources are compromised and continued functionality for older devices. The described techniques can be implemented by operating system providers and/or device …

Personalized Automatic Query Expansion Suggestions, Na

Defensive Publications Series

While autocomplete suggestions are a feature of search engines and other applications, these are typically limited to a few words and are one-shot. Interactions with a large language model (LLM) can benefit from rich, detailed prompts since the quality of responses provided by the LLM can improve with such prompts. However, such prompts are laborious to write. This disclosure describes techniques that leverage a large language model (LLM) to automatically suggest unstructured, natural-language query completions based on LLM reasoning. With user permission, appropriate user data can be accessed and used for the specific purpose of query completion. The techniques can …

System And Method For Explainable Deep Learning Fraud Detection Scores, David Sutton, Mark Anderson, Piotr Skalski, Yulia Rozanova

Defensive Publications Series

The present disclosure relates to a system for explaining deep learning fraud scores. The system comprises a deep learning model configured to process a sequence of raw transaction attributes and generate a fraud score. A concept definition framework includes a programmatically defined label set capturing semantic concepts associated with transactional behaviours. Concept activation vectors (CAVs) are established for each defined semantic concept based on historical transaction data. An integrated conceptual sensitivity (ICS) mechanism combines attributions from the deep learning model to the defined semantic concepts, providing an explanation for the generated fraud score. Additionally, a hierarchical explanation interface visualizes the …

Providing Unified Interface For Rendering User Interface (Ui) Components And Application Programming Interface (Api) Documentation, Thirumalaa Srinivas , Visa, Summer Young , Visa, Miriam Salzer ,Visa, Murphy Basore , Visa

Defensive Publications Series

The present disclosure relates to a system and a method for dynamically fetching, filtering, and rendering one or more user interface (UI) component examples and application programming interface (API) documentation for multiple libraries and versions. The system enables users to select a library and version. The system fetches a corresponding metadata and code examples from a structured JavaScript Object Notation (JSON) file. The system provides device emulations, code/preview toggling, and API reference display in a unified interface.

Optimizer System And Method, Sayantika Sarkar, John H. Li, Shari Krikorian, Raymond B. Choi

Defensive Publications Series

The present disclosure provides a system and method for managing the payment of invoices using an optimizer system. The method comprises receiving, by an optimizer system, an accounts receivable file comprising a plurality of invoices from an accounts payable system, the accounts payable system configured to process invoices provided by a supplier to a buyer for payment; analyzing, by the optimizer system, the plurality of invoices in the accounts receivable file; determining, by the optimizer system, one or more invoices in the plurality of invoices to accelerate for payment; transmitting, by the optimizer system, a first message to the accounts …

Context-Aware Adjustment Of Noise Cancellation For Wearable Audio Devices, Shailesh Maheshwari, Vedant Maheshwari, Rayansh Maheshwari

Defensive Publications Series

Active noise cancellation in wearable audio devices, such as headphones or earbuds, can reduce a user's ability to hear certain environmental sounds. A system is disclosed that can implement context-driven audio awareness. The system may utilize one or more machine learning models to monitor a user's acoustic environment for specific, predefined sounds from a user-customizable list, such as sirens, doorbells, or a baby crying. Upon detection of a designated acoustic event, the system can automatically and temporarily modify the noise cancellation feature, for example, by disabling it or switching to an audio passthrough mode, allowing the external sound to become …

Method And System For Alias Management Techniques, Suresh Kumar Tavvala, Wenhai Pan, Rajiv Sharma, Michelle Hou

Defensive Publications Series

A server computer receives, from a user device comprising an application comprising an SDK (software development kit), an onboard request, the application supported by an application server computer. The server computer provides an API key to the application in the user device. The server computer receives, from the SDK, an initialization request comprising the API key. A secure session is initiated between the server computer and the SDK in the user device. The server computer receives, from the SDK, a credential during the secure session and verifies the credential. The server computer stores, in an alias directory, the credential in …

Prosodic Based Turn Detection Using The Audio Spectrogram Transformer, Adhwaith Menon

Defensive Publications Series

End of turn (EoT) detection is performed in a voice artificial intelligence (AI) solution to detect when a user is done talking. The currently available systems that perform EoT detection face issues such as detection of only the long pauses and added overhead cost from conversion of audio to text for analysis. To overcome the aforementioned issues, a system is proposed herein that uses a pre-trained Audio Spectrogram Transformer (AST) as a prosodic feature extractor, combined with a high-level transformer encoder that analyzes global prosodic structure. By leveraging this architecture, the system reliably predicts when a speaker has finished their …

Smart Device Hvac Health Evaluation With Large-Language Model Acoustic Signature Analysis, D Shin

Defensive Publications Series

This publication describes systems and techniques for evaluating the operational status or “health” of a heating-ventilation-air-conditioning (HVAC) system by analyzing sound generated by the HVAC system. The sound may be monitored by a microphone incorporated in a smart thermostat or other smart home device and automatically evaluated using an HVAC Large Language-Type Model (HVAC-LLM) including acoustic signatures of properly and/or improperly operating HVAC systems. For example, a system includes one or more microphones integrated in a smart thermostat and/or one or more other smart home devices that act as passive sensors to capture sound made by the HVAC system. Initialization …

Event-Triggered Audio Mode Management For Hearable Devices, Shailesh Maheshwari, Vedant Maheshwari, Rayansh Maheshwari

Defensive Publications Series

This document describes a method for managing audio modes in a hearable device. A user operating a device in an ambient sound passthrough mode may have difficulty hearing audio events, such as notifications or digital assistant responses, over background noise. A system can detect certain triggers, such as the receipt of a notification or the start of a user's interaction with a digital assistant. Upon detecting a trigger, the hearable device can temporarily switch from an ambient sound mode to a noise cancellation mode. After the audio event concludes, for example, after the notification sound or the assistant's response is …

Structured Layered Synthesis For Generating Coherent And Scale-Consistent Text, Saurabh Gupta, Andrea Morandi

Defensive Publications Series

Although Large Language Models (LLMs) excel at generating fluent text at a local level, LLMs struggle to consistently maintain the structure and coherence of generated text over long documents and across different levels of detail. Techniques proposed herein introduce a system and method for enhancing text generation through a structured layered synthesis approach.

Situational Awareness In Virtual Reality By Providing A Wide Field Of View, Alexander Graehl Williams

Defensive Publications Series

Virtual reality (VR) headsets typically limit a user's field of view, restricting situational awareness to what is directly in front of them. This makes it difficult to monitor the surrounding environment for events or motion occurring outside the primary viewing area. This disclosure describes a method for conditionally displaying a panoramic, 360-degree view within a VR headset. The panoramic view can be triggered by events, such as the detection of motion in the user's periphery or rear. Upon detection, the standard forward-facing view is temporarily replaced or augmented with a compressed 360-degree visualization of the environment. This technique enhances the …

Generating Context-Aware Code-Switched Text Using Probabilistic Modeling And Generative Refinement, Mithun Kumar S R

Defensive Publications Series

Artificial intelligence models can experience difficulty understanding and generating code-switched text, and some existing synthetic data generation methods can produce grammatically incorrect or unnatural-sounding results. This disclosure describes a multi-stage system for generating code-switched text from monolingual corpora. The method can employ a probabilistic constraint model to analyze a source sentence and identify syntactically and semantically appropriate points for a language switch. Based on these identified points, a candidate generation engine can create one or more raw code-switched sentences. A large generative model may then refine these raw candidates to address potential grammatical errors at the language junction and improve …

System And Method For Topologically Protected Quantum Computing Based On Majorana Fermions In Superconducting Nanostructures With Integrated Cryogenic Control, Lorenzo Lbn Bernardini, Origines Technologies

Defensive Publications Series

The present invention is located in the field of topologically protected quantum computing, with particular reference to the implementation of qubits based on Majorana fermions in nanoscopic superconducting structures. This technological field represents an innovative convergence between condensed matter

in physics, quantum computing and superconducting materials engineering. The system object of the present invention operates in a technological domain where quantum hardware based on Majorana fermions is integrated with sophisticated topological protection mechanisms of quantum states. This integration is achieved through the implementation of qubits that exploit topologically protected states within nanoscopic superconducting structures, allowing a coherent manipulation of non-abelian …

Proximity-Based Vector Database Sharing For Enhanced Rag Systems, Hp Inc

Defensive Publications Series

This disclosure proposal introduces a system for enhancing Retrieval-Augmented Generation (RAG) systems by enabling proximity-based sharing of vector databases among devices. Leveraging Bluetooth Low Energy (BLE) for device discovery and Wi-Fi Direct for high-speed data transfer, this system eliminates the limitations of isolated local vector stores and the privacy risks associated with cloud-based solutions. Key features include local library generation, secure proximity-based discovery, and dynamic integration of shared libraries. The decentralized and privacy-preserving architecture ensures secure collaboration in dynamic environments, transforming the scope of information retrieval in workplaces, classrooms, and beyond.