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, …

Hierarchical Reinforcement Learning For Proactive And Longitudinal User Modeling In A Conversational Agent, D Shin

Defensive Publications Series

Some conversational agents can be reactive and may have limited capabilities for building a detailed, evolving understanding of user preferences over time. This disclosure describes a proactive agent framework that can use hierarchical reinforcement learning to construct a longitudinal user model. A high-level policy, which may utilize a deep Q-network, can determine when and what to ask a user to manage a balance between information gain and potential user annoyance. A low-level policy may then generate a specific natural language query. User responses can be encoded and clustered to form a dynamic knowledge graph of interests. A graph neural network …

Self-Tuned Friction Damper Tuned With Silicon Fluid/Viscous Fluid

Defensive Publications Series

Self-tuned friction damper for mitigation of high frequency torsional oscillations (HFTO) in a bottom hole assembly (BHA) for drilling boreholes in the earth crust has been described already. It is especially covering the higher frequency content of HFTO, since the high damping effect is gradually declining towards a standard friction damper if smaller HFTO frequencies below the self-tuned frequency occur. In a tuned system the effect is opposite. A tuned system can be modeled as a spring in parallel to a friction contact (or other dissipative forces). The damping effect close to the tuning frequency is again high close to …

Fixture And Pre-Loading Or Loading Device For Downhole Energy Storage

Defensive Publications Series

The solid state battery (SSB) technology benefits from increased temperatures and increased pressure during downhole application. Higher temperatures and pressure will reduce the internal resistivity of the SSB.

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, …

Fast Mechanism For Target Selection In Interactive Ar/Xr Environments, Tiago Camolesi Flora

Defensive Publications Series

Navigating interactive elements in augmented and extended reality (AR/XR) environments often relies on hand gestures, controllers, or long-form voice commands, which can be imprecise, physically fatiguing, and inefficient. Current methods lack a mechanism for rapid, low-effort, hands-free target selection. This disclosure describes a process where a user initiates an interaction mode with a simple voice command or gesture. In response, all visible interactive elements are overlaid with unique, easily pronounceable syllables or words. The user selects a target by speaking the corresponding syllable or word, which triggers the associated action. This technique provides a fast, precise, and discreet method for …

A Process For The Preparation Of Suvorexant, Lee Pharma Limited

Defensive Publications Series

The present disclosure relates to a process for the preparation of Suvorexant of formula-1.

Applying Artificial Intelligence To Suggest Operational Optimizations To Data Queries, Lois Wolf

Defensive Publications Series

Querying data sources such as databases requires knowledge of querying techniques, such as the structured query language (SQL) as well as an understanding of the databases being queried. Users with inadequate knowledge may struggle to write queries that execute successfully and retrieve the targeted data accurately. Additionally, lack of knowledge of database properties such as table sizes, partitioning, database schema, etc. can cause users to write queries that are computationally inefficient and/or fail at runtime. This disclosure describes the use of artificial intelligence techniques, including models trained on a training dataset that represents various types of successful and failed queries, …

(((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 …

(((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 …

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 …

Evaluating The Acoustic Seal Of An In-Ear Device By Analyzing Speaker Driver Electrical Impedance, N/A

Defensive Publications Series

Some methods for detecting air leakage in an in-ear device, such as an earbud, may utilize in-ear microphones, which can be affected by factors including occlusion, ambient noise interference, and performance variations. This disclosure details a system for assessing acoustic seal integrity by measuring the electrical impedance of the device's microspeaker. By using a headphone amplifier that may include current/voltage sensing capabilities, the system can dynamically characterize the speaker's impedance and track its resonance frequency (Fo). The acoustic load of a sealed ear canal can be reflected in the speaker's electrical impedance, where air leakage may cause a measurable shift. …

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 …

Joint Task Graph Generation For Optimizing Multi-Agent Workloads, Florian Hartmann, Victor Carbune

Defensive Publications Series

This document addresses computational redundancy in multi-agent systems where collaborating agents may independently generate isolated, natural language-based plans, potentially leading to the redundant execution of similar subtasks. The described systems and methods can provide a framework for multiple software agents to collaboratively plan and execute complex tasks by introducing a structured, joint planning phase. During this phase, agents may iteratively build a single task decomposition graph, proposing subtasks as nodes and defining prerequisites as directed edges. This unified, machine-readable plan can enable the system to identify and de-duplicate shared workloads. Furthermore, the explicit dependency structure can allow for the generation …

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 …

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 …

Ai-Based Ambient Tutoring Via Generative Correction Of Spoken Language, Alexander Williams

Defensive Publications Series

Some technology-assisted language learning tools may involve structured, explicit study sessions separate from a user's daily activities. This disclosure describes an ambient language tutoring approach. A computing device, such as a smartphone, smart watch, wearable device, or augmented reality glasses, can be placed by the user into a tutoring mode. In this mode, the device uses a microphone to capture spoken utterances from the user in a target language. An artificial intelligence model may analyze the transcribed speech to identify potential grammatical, syntactical, or lexical errors. Based on this analysis, the model can generatively create a corrected, contextually appropriate version …

Laser-Induced Breakdown Spectroscopy (Libs) For Sorting Compacted Chips Of Aluminum Alloy, Johannes Morscheiser, Kumar Sundaram, Jeffrey M. Mcdermott, Julian Andreas Kühn, Zacharias Johannes Lok

Defensive Publications Series

The present disclosure proposes implementing a separate compaction unit for each machine center that would allow for easier segregation of the chips because mixing of chips between machine centers would be mitigated. The chips may be compacted into briquettes using, for example, screw presses, hydraulic piston presses, roller presses, and the like.

Signal Coverage Map Indicating Transition Points Of Signal Availability, Ethan Li, James Peroulas, Edison Chen, Yingqun Yu, Yanming Wang, Murphy Stein, Xing Chen, Kwangyoon Lee

Defensive Publications Series

This disclosure describes techniques to construct and use a signal coverage map that indicates transition points of signal availability. The coverage map is usable by users and user devices to easily and efficiently locate an available signal near out-of-service (OOS) areas, including both terrestrial and non-terrestrial networks (TN/NTN). The coverage map is constructed by recording locations at the boundary between out-of-service (OOS) and in-service areas. Constructing a coverage map and making it available for use in locating available signals can provide a better user experience and power-efficient signal search. Unlike a traditional signal coverage map that is designed to show …

Display Partitioning To Provide Dedicated Ai Interaction Space, T. V. Raman, Charles Chen

Defensive Publications Series

When an on-device artificial intelligence agent is active at the same time as a primary application, the user interface of the AI agent and the primary application are typically overlaid one on top of the other, such that only one is usable at a time. Also, when a user provides a query to an AI agent, no fine-grained control is available for interaction. There is no feature to display the working of the agent or for the user to guide the AI agent. No fine-grained control for agent interactions is available. This disclosure describes techniques that utilize multiple screens (or …

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,