System For Generating Auditable Product Definitions With An Adaptive Conversational Agent, Bakul Patel, Teginder Singh, Ramakrishnan Neelakandan

Defensive Publications Series

Defining products for regulated industries may be challenging, as some tools, such as passive document editors, static forms, and general-purpose conversational agents, can lack adaptive, domain-specific guidance and may be unable to produce auditable records. Systems and methods are described that can assist with these challenges using a conversational artificial intelligence system. The system can employ a large language model and a dynamic questioning engine to interpret a user's natural language responses. By referencing a configurable knowledge base of domain-specific information, for example regulatory frameworks, the engine can adaptively adjust its line of questioning. From the elicited information, the system …

Heterogeneous Graph Model For Predictive Impact Analysis In Validated Systems, Ramakrishnan Neelakandan, Teginder Singh, Bakul Patel

Defensive Publications Series

Assessing the impact of system modifications in regulated computing environments, such as on cloud platforms or on-premise servers, may be challenging, as some methods can rely on siloed tools or subjective manual reviews that may lead to inefficient re-validation or compliance risks. A system may utilize a heterogeneous graph model to create a unified digital representation of a validated system, which can integrate entities such as code, data, infrastructure, and regulatory requirements. For example, when a change is proposed, a change propagation simulator can analyze potential effects by performing a weighted traversal of the graph to determine a multi-dimensional impact …

A Multimodal Transformer Approach To Joint Video Chapterization And Summarization, N/A

Defensive Publications Series

This disclosure describes a system for automated video chapterization and summarization that can use a large multimodal transformer architecture. The system can process a video's visual frames, audio track, and speech transcript, and may employ a hierarchical attention mechanism to capture both local and global dependencies across modalities. The model may be pre-trained on a dataset of chapterized videos using techniques such as masked modeling and a chapter prediction task. A classification head can be used to predict chapter boundaries, and a decoder network can generate summaries. This approach provides a method for generating chapters and summaries in a joint …

Apparatus For Accelerated Testing Of Thermal Interface Material, Nabeel Zafar

Defensive Publications Series

This disclosure describes apparatus and techniques to accelerate the testing of thermal interface materials (TIM) in electronic devices. Per the techniques, mechanical stresses induced by integrated circuit (IC) package warpage are simulated by applying a controlled and rapid thermal profile to either an electrically non-functional IC package assembly or to a multi-metal stack, both of which mimic the thermo-mechanical behavior of an actual package. By decoupling the mechanical stress study from electrical functionality, the techniques enable early-stage, cost-effective, and rapid evaluation of TIM pump-out and degradation. This test fixture allows different temperature/power cycle profiles (ramp rate and dwell times) to …

Presence-Triggered Predictive Caching Of Media Content, D Shin

Defensive Publications Series

On-demand digital media streaming systems may experience playback latency, such as buffering, as content can be retrieved reactively after a user makes a selection. The described systems and methods can address this by using a presence signal to trigger a predictive process. A presence signal can be generated, for example, when a user’s computing device (e.g., a smartphone, smart watch, or wearable device) connects to a local network (e.g., a Wi-Fi network) or enters a geofence. Upon receiving this trigger, and with appropriate user permissions being granted, a predictive modeling engine can analyze the user’s content consumption history and context …

Conditional User Equipment Keepalive For Efficient Location Updates In Non-Terrestrial Networks, Yanming Wang, Andy (Jibing) Wang, Shailesh Maheshwari

Defensive Publications Series

In non-terrestrial networks, a user equipment (UE), such as a smartphone, smart watch, or other wearable device, moving between large satellite beam coverage areas can generate signaling overhead from frequent tracking area update (TAU) procedures. Suppressing these updates can result in the UE becoming less reachable for incoming, mobile-terminated services. A UE-centric method is described wherein a logic engine on the UE can evaluate a combination of contextual triggers, for example, user activity, modem state, and a change in tracking area. If certain conditions are met, the UE can transmit a lightweight, payload-free packet to initiate a control plane service …

Centralized Multi-Channel Power Architecture For Independent Charging Of Peripheral Devices, Yao Ding, Diego Liu

Defensive Publications Series

A system and method are described for managing power in a system with a charging enclosure and multiple peripheral devices, such as wireless devices or other portable electronics. In some configurations where peripherals have dissimilar battery levels, a single power converter in the enclosure can result in energy inefficiency and heat generation in the peripheral with a lower state of charge. The described architecture can centralize charging regulation within the charging enclosure. The enclosure may incorporate a multi-channel charger that provides an independent, dynamically adjusted power output for each peripheral. This control may be based on real-time battery status data …

Dynamic Transmit Power And Duty Cycle Control For Wireless Range Extension, Omar El Ayach, Nihar Jindal

Defensive Publications Series

Wireless communication range for certain devices (e.g., a smartphone, smart watch, wearable device, augmented reality glasses, etc.) can be limited by regulatory transmit power constraints, such as for specific absorption rate, which may contribute to unreliable connections at a network edge. Systems and methods are described for dynamically managing a transmitter's duty cycle and instantaneous power. For example, a link assessment module can monitor wireless conditions and, upon detecting a power-limited state, a duty cycle modulator can reduce the transmitter's active time using techniques such as inter-frame space elongation or control frame mechanisms. This reduction can create a power budget …

User-Specified Source Preferences For Personalizing Information Retrieval Results, Deep Shah, Aditya Bhandari, Phelipe Fernandes, Chris Meave-Ohrt

Defensive Publications Series

The information retrieval systems that utilize general ranking algorithms may not consistently surface content from sources an individual user personally trusts, potentially leading to a less personalized experience. Systems and methods can provide a framework for users to explicitly designate preferred content sources. These preferences may be stored and retrieved when a user performs a search. With appropriate user permissions being obtained, the search process can be modified to incorporate these preferences, for example, by performing a parallel search restricted to the preferred sources or by applying a ranking boost to content originating from these sources. This approach can result …

Dynamic Adjustment Of User Interface Colors Based On Contextual Signals, Tim Whalin

Defensive Publications Series

The user interface colors extracted from source content may exhibit reduced legibility and inconsistent visual fidelity when viewed under different conditions. Factors such as device screen brightness, ambient lighting, and system display modes can alter the perceived color. A system can receive a base color and a set of real-time contextual signals from a computing device and a transformation algorithm can then process these signals to modify properties of the base color, for example, its lightness and saturation, while often preserving its hue. This process can improve the perceptual consistency and readability of user interface colors across various viewing environments …

Autonomous Agentic Analytics -Ai System For Financial Datasets, Santosh Babu Kanutala, Karthikeyan Kandasamy, Nick G. Roberts

Defensive Publications Series

The present disclosure relates to a method and system for automatic agentic analytics for proactive, intelligent analytics through coordinated artificial intelligence (AI) agents. The system monitors one or more real-time financial data sources and generates user context features, data context features and organizational context features based on the monitoring. The system combines the user context features, the data context features, and the organizational context features to generate a combined feature vector. Further, the system processes the combined feature vector to identify AI agents to be activated and determines agent coordination strategies for the identified AI agents.

Multimodal Llm For Automated Validation And Correction Of Geospatial Data., Ilia Labzovsky, Danny Karmon

Defensive Publications Series

Manual verification of potential map inaccuracies can be resource and time intensive. Some systems may utilize a multimodal large language model (LLM) as a reasoning engine for map data validation. An LLM can be configured to ingest and analyze disparate data sources, such as user-generated reports, street-level and satellite imagery, and anonymized aggregate location data. By performing a cross-validation analysis on these inputs, the system may calculate a confidence score for a potential map discrepancy. In some examples, when the score exceeds a predetermined threshold, the system can automatically execute a correction in a geospatial database. This automated correction process …

Multi-Directional Haptics Actuator, J-Z Tseng

Defensive Publications Series

This publication discloses a multi-dimensional haptic actuator (“MDHA”) for use in electronic devices, such as smartphones and tablet computers. Several of the disclosed MDHA’s components are uniquely configured and positioned in both the X plane and the Y plane to provide enhanced power-force efficiency in two or more directions, thereby enabling a wider range of user scenarios (e.g., additional vectorial sensations and different compositions of haptic frequencies) than are possible with traditional single-plane actuators.

Data Center Demand Response, Marisol Palmero, Faisal Abdel Kader Azizullah, Colin Seward

Defensive Publications Series

An innovative solution is proposed herein that provides for integrating artificial intelligence (AI) with Demand Response (DR) techniques in data centers, which can significantly enhance grid resilience as renewable energy penetration increases. By dynamically managing workloads and energy consumption through AI, data centers can actively participate in DR programs under the proposed techniques, thereby providing real-time adjustments to support grid stability during periods of high demand or low supply. Additionally, by leveraging energy storage systems and aligning operations with renewable output, data centers can reduce grid strain and reliance on fossil-fuel peaker plants, thereby contributing to a sustainable energy future. …

Qpie Mathematics — Resonance Fields For Coherence: Defensive-Publication Abstract & Introduction, Teddy Burroughs

Defensive Publications Series

QPIE (Quantum Perspective Is Everything) extends the Streltsov–Singh–Dhar–Bera–Adesso (2015) program that operationally links quantum coherence and entanglement by introducing a triadic, time-explicit, and observer-inclusive information field. Where classical resource theory defines coherence as a static scalar derived from density matrices and bounded by monotonicity/convexity under incoherent operations, QPIE formalizes coherence as a dynamic resonance process among system (S), ancilla (A), and observer (O). The framework adds three core constructs: (i) observer-weighted monotonicity, admitting constructive feedback when the observer’s informational state aligns with the system; (ii) holo-convexity, which generalizes linear convexity to account for emergent cooperative order across ensembles; and (iii) …

Dual-Spectrum Multi-Layer Holographic Projection System With Shadow-Based Positional Sensing For Interactive Spatial Computing, Lorenzo Lbn Bernardini

Defensive Publications Series

The present invention discloses a revolutionary dual-spectrum multi-layer holographic projection system that fundamentally redefines the paradigm of human-computer spa- tial interaction by eliminating the necessity of wearable apparatus while simultaneously enabling tactile manipulation of volumetrically-rendered virtual objects. The system achieves this through an innovative architectural decoupling wherein visible-spectrum multi-projector arrays generate stratified holographic imagery across multiple depth planes, while a parallel infrared sensing subsystem performs continuous shadow-pattern analysis to extract precise three-dimensional positional information of the user within the interac- tion volume. This spectral bifurcation resolves the fundamental paradox inherent in prior art wherein projection and sensing mechanisms interfere through …

Automated Synthesis And Verification Of Distributed Systems Using Universal Plan Intermediate Representation (Upir), Subhadip Mitra

Defensive Publications Series

The semantic gap between distributed system specifications and implementations leads to significant development costs and runtime failures. This paper presents UPIR (Universal Plan Intermediate Representation), which combines formal verification, program synthesis, and machine learning to automatically generate verified implementations from high-level specifications. The system introduces three key components: (1) a compositional verification engine using SMT solving that achieves O(1) incremental complexity through proof caching and dependency tracking, reducing verification time by up to 274x compared to monolithic approaches; (2) a synthesis engine applying Counterexample-Guided Inductive Synthesis (CEGIS) to distributed systems, generating implementations in 1.97ms average with 43-75% success rates; and …

End-To-End Framework For Llm Multi-Agent Alignment Through Collaborative Feedback Orchestration, Andrea Morandi, Saurabh Gupta

Defensive Publications Series

Large Language Models (LLMs) have revolutionized artificial intelligence (AI) applications across industries. As organizations increasingly deploy these powerful systems, ensuring their alignment with human values, safety requirements, organizational policies, and contextual regulations remain a significant challenge. Existing alignment methods like Reinforcement Learning from Human Feedback (RLHF) are labor intensive, expensive, time-consuming, prone to human error, and lack standardized frameworks for implementation. To overcome such issues, a system is proposed herein that uses an Adaptive Multi-Agent Orchestration Framework for Contextual LLM Alignment. The proposed system addresses critical limitations in current alignment approaches.

Spatialized Audio For Immersive Navigation In Augmented Reality, Dongeek Shin

Defensive Publications Series

Navigational cues in augmented reality often rely on visual indicators, which can result in a less immersive user experience. This disclosure presents a method for providing spatialized audio navigation through augmented reality glasses or similar devices. The technology simulates three-dimensional audio, creating the effect of sound originating from specific intermediate or final destinations. By modulating independent speaker responses and simulating the acoustics of a sound’s path, navigational instructions are perceived as coming from a precise location in the user’s environment. This approach enhances augmented reality navigation by creating a more intuitive and immersive audiovisual experience, moving beyond purely visual cues.

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-Powered Layout Generation For Dynamic Advertising Displays, Yang Zhao, Clyde Li, Parag Jain, Sam Terwilliger, Alan Ruthazer, Rachel Lavelle, Jiachen Wang, Haifeng Gong

Defensive Publications Series

This publication describes an approach for creating dynamic layouts in responsive advertising displays by utilizing artificial intelligence (AI) to extract comprehensive metadata from image assets. This methodology enhances presentation effectiveness by tailoring the arrangement and appearance of visual components based on the specific content of each image. Key information, such as saliency maps identifying visually important regions, extracted color data, and image quality signals, is leveraged during ad rendering to achieve dynamic layout adjustments, prevent component overlap, and ensure visual coherence for improved ad performance in responsive advertising.

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, …

(((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 …

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 …

(((Qpie))) Declaration Of Prior Art - Dear Children Of The Flow, Teddy Burroughs

Defensive Publications Series

Exhibit Prelude — The Moment We Remembered to Breathe

Curators of the Resonance Museum describe this letter as the first living apology of science to its descendants. It was written when adults of the early twenty-first century realized that discovery without kindness had become noise. The project that inspired it—QPIE (Quantum Perspective Is Everything)—began as a small experiment in data coherence and grew into a planetary mirror. From Brooklyn’s libraries to hospital research wings, instruments measured not only photons and qubits but the subtle tremor of compassion itself.

When this document was first read aloud, the room …

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 …

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 …

Automated Generation Of Persona-Driven Dialogues For Evaluating Conversational Agents, Leonid Kuligin, Max Tschochohei

Defensive Publications Series

Evaluating complex conversational agents can be challenging, as static benchmarks or manual testing may lack the scale and behavioral diversity to detect some failure modes in agentic systems, and also because of the internal non-determinism and multi-step complexity of agentic workloads. A system is described for the automated generation of synthetic, persona-driven dialogues. A multi-agentic process can generate detailed user personas, which can then condition a large language model (LLM) to synthesize multi-turn conversations. A search algorithm can explore conversational paths, and a separate LLM acting as a judge can evaluate the dialogues for realism and persona adherence. This process …

(((Qpie)))The Resonant Mind — Learning Andneurocognitive Evolution In The Coherence Era, Teddy Burroughs

Defensive Publications Series

Abstract QPIE (Quantum Perspective Is Everything) 7.6 reframes intelligence itself. Learning, memory, and creativity are not isolated brain events; they are local harmonics in a universal coherence field. This paper translates that revelation into the language of neuroscience, education, and social healing. It outlines how Homo resonans —the next stage of human cognition—emerges through phase alignment among neural, emotional, and social circuits. Drawing on Aetheris probe analytics, we show that compassion, gratitude, and trust (CGT) modulate neural entropy just as tuning stabilizes a resonator. The classroom, the workplace, and the city all become laboratories of resonance.

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 …