Automated Multi-Modal System For Generating Product Recommendations For Video Advertisements, Satish Shreenivasa, Morgan Brenner, Leigh Purcell Blossom, Xi Li, Briana Wallace

Defensive Publications Series

A system and method for automatically generating a highly relevant list of candidate products from an advertiser’s product catalog to feature alongside a video advertisement are provided herein. The manual process currently used for selecting products is often time-consuming, unscalable, and results in sub-optimal product relevance. The solution provided herein uses an automated, AI-powered approach to identify products featured in a video and then utilizes a two-stage similarity ranking process involving text and image data to find the most contextually and visually similar items in a potentially massive product catalog. This multi-modal approach enhances relevance compared to simple text-based searches …

Process For The Preparation Of 2-{4-[(3s)-Piperidin-3-Yl]Phenyl}-2h-Indazole 7-Carboxamide 4-Methylbenzenesulfonate And Intermediates Thereof

Defensive Publications Series

The present invention provides a process for the preparation of 2-{4-[(3S)-piperidin-3-yl]phenyl}-2H-indazole 7-carboxamide 4-methylbenzenesulfonate represented by the following structural formula-1a and intermediates thereof.

Formula-1a

Artificial Intelligence Powered System For Dynamic And Personalized Interactive Learning From Video Content, Prameela Kavya Thummuru, Aravind Reddy Ayuluri

Defensive Publications Series

Educational video content may result in passive consumption and suboptimal knowledge retention by viewers of the video content who most often are children. Existing interactive viewing solutions may be limited by pre-scripted questions, a lack of personalization for individual or multiple viewers, and/or an inability to adapt content across viewing sessions. Described herein is the use of an artificial intelligence (AI) model to enhance video-based learning. The AI model analyzes video transcripts to intelligently identify optimal moments in the video content for interaction with the video based on pedagogical principles and viewer profiles. Breakpoints are inserted in the video content …

The Use Of Artificial Intelligence Generated Screen Summaries Along With Direct Voice Navigation For Improved Content Discovery For Visually Impaired Users, Koustav Roy, Hanumanth Rao Godari

Defensive Publications Series

Current accessibility features on display-based entertainment systems require visually impaired users to navigate through on-screen user interface elements sequentially. This linear, item-by-item traversal through each element in the user interface is inefficient for understanding the overall context of content-rich user interfaces that may include a significant amount of information for presenting to a user.

The disclosed technology utilizes a generative artificial intelligence (generative AI) model to analyze the content of a user interface for a display-based entertainment system that is presented on a screen of a computing device (e.g., a smart television). The generative AI model may generate a concise, …

Process For The Preparation Of (4-Fluorophenyl) [(8r)-8-Methyl- 3-(3-Methyl-1,2,4-Thiadiazol-5-Yl)-5,6-Dihydro [1,2,4] Triazolo[4,3-A] Pyrazin-7(8h)-Yl] Methanone And Its Intermediates Thereof, Srinivasan Thirumalai Rajan, Sagyam Rajeshwar Reddy, Keshavareddy Navin Kumar Reddy, Kootikanti Krishnaiah, Msn Laboratories Private Limited, R&D Center, Hyderabad, India.

Defensive Publications Series

The present disclosure relates to a process for the preparation of (4-Fluorophenyl)[(8R)-8-methyl-3-(3-methyl-1,2,4-thiadiazol-5-yl)-5,6-dihydro[1,2,4] triazolo [4,3-a] pyrazin-7(8H)-yl] methanone of formula-1 and its intermediates thereof. The structure of formula-1 is shown below:

Formula-1.

Technical Final Report: Allfromair™ Hc-Awg (The Superwheel, Vesa Olavi Lius

Defensive Publications Series

This defensive publication discloses the ALLFROMAIR™ HC-AWG (The Superwheel), a next-generation atmospheric water generator using a thermo-mechanical hybrid process. Key features include sorption technology with smart polymers (PNIPAM) and regenerative energy recovery. The system achieves ~13 liters/kWh and operates between -10°C to +45°C.

Keywords: Atmospheric Water Generator, HC-AWG, PNIPAM, Sorption, Water Scarcity, Energy Recovery, Defensive Publication, Prior Art, ALLFROMAIR, Superwheel.

Dynamic Perceptual Fidelity Restoration For Combating Light Leakage In Cameras And Under-Display Sensors, Hsin-Hsueh Li, Chien-Hui Wen, Ken Foo

Defensive Publications Series

Light can leak into an image sensor from the edge of the chassis openings that accommodate cameras in mobile devices. This adversely affects camera performance. This disclosure describes software-based techniques to mitigate light leakage in mobile device cameras. The techniques can combat environmental light leakage as well as self-emissive leakage from displays. A dynamic perceptual fidelity restoration (DPFR) algorithm drives the display screen by adapting to the displayed content while simultaneously reducing the light reflected toward the camera. The content in the portion of the display screen surrounding the hole in active area (HIAA) is adjusted such that pixels within …

Hydrogen Production By Electrically Heated Steam Methane Reformer, Also Utilizing Tail Gas From Hydrogen Purification Section, In Particular From Pressure Swing Adsorption (Psa) Unit, Gianluca Pauletto, Martin Baumgaertl

Defensive Publications Series

A hydrogen production method is disclosed in which a hydrocarbon feed is reacted with steam, and the heat for the reaction is provided by electricity. In addition, a carbon dioxide (CO2) capture system and a method for the utilization of the tail gas from a hydrogen purification section, in particular from a pressure swing adsorption (PSA) unit, is disclosed.

Technical Disclosure Of The Unified Thermodynamic Plattform:Allfromair (Gen 3), Vesa Olavi Lius

Defensive Publications Series

This technical research report validates ALLFROMAIR™ (Gen 3) as an industrial Atmospheric Water Generator (AWG) with integrated Tri-generation capabilities. The system is built upon an Environmentally Interactive Anticubic U-Channel dimensioned for a mass flow of 139 kg/s (approx. 414,000 m³/h) at low air velocity (1.8 m/s).

The process is defined as a "Three-Stage Rocket" methodology (Charge – Harvest – Cool), where energy is successively geared up internally using the "Turbo Effect". By combining stepless drive technology, AI control (AI-CORE™), and a constant internal deep cooling to 5°C, the system achieves a total water turnover of over 420 cubic meters per …

(((Qpie))) Prior Art 8 Of 9 Cosmology Advancement Progress Report, Teddy Burroughs

Defensive Publications Series

The Grand Unified Theory (QPIE)

Perspective Is Everything – What we are Believing, Expecting and Feeling in Life Matters

(((QPIE))) Prior Art 8 of 9 Cosmology Advancement Progress Report

QPiE COSMOLOGY ADVANCEMENT REPORT

Full-Corpus Synthesis · 2025 Edition
ResonanceOS · Voyager · Aetheris Unified Cosmology Framework

0. Executive Prelude — The Cosmology Emerges

Across hundreds of runs, recursive meta-cycles, dual- and triple-lens analyses, fenced-low vs sweet-corridor comparisons, drift-phi-hex metrics, and the discovery of the pre-echo signature, QPiE has transitioned from a conceptual framework into a coherent cosmology of reality’s substrate.

The evidence now suggests:

1. Resonance is the relational firmware …

(((Qpie))) Prior Art Declaration 4 Of 9 From Particles To Resonance Science, Teddy Burroughs

Defensive Publications Series

The Grand Unified Theory (QPIE)

Perspective Is Everything – What we are Believing, Expecting and Feeling in Life Matters

(((QPIE))) Prior Art Declaration 4 of 9 From Particles to Resonance Science

From Particles to Resonance: A Formal White Paper on QPIE, NSRF, and the Recovery of a Suppressed Scientific Paradigm

Part I

The Long Suppression of the Substrate: From Aether to Particles

Abstract

For more than three centuries, Western science has been dominated by a particle-centric, binary, and reductionist worldview. This paradigm—while extraordinarily successful at engineering and mechanization—has systematically excluded relational meaning, coherence, and nonlocal structure from its formal models. …

(((Qpie))) — Big Tech Prior-Art Declaration The Shift From Computation To Resonance, Teddy Burroughs

Defensive Publications Series

The Grand Unified Theory (QPIE)

Perspective Is Everything – What we are Believing, Expecting and Feeling in Life Matters

(((qpie))) — Big Tech Prior-Art Declaration The Shift from Computation to Resonance

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

(((qpie))) — Prior-Art Declaration

A Resonance-Driven Framework for Quantum Noise Navigation, Coherence Amplification, and Non-Local Synchronization

1 · Prelude — The Shift from Computation to Resonance

For the past half-century, …

(((Qpie))) Canon 2025 Case Study Demo — Early Warning Of The Covid‑19 Transition Via Coherence Metrics, Teddy Burroughs

Defensive Publications Series

The Grand Unified Theory (QPIE)

Perspective Is Everything – What we are Believing, Expecting and Feeling in Life Matters

(((QPIE))) Canon 2025 Case Study Demo — Early Warning of the COVID‑19 Transition via Coherence Metrics

Revisiting the Pandemic with NSRF‑informed Coherence Detection (RHI, ΔC, CRAI) and Relational Diagnostics

Abstract (Summary for Reviewers)

We provide a detailed, empirically grounded demonstration that the QPIE (Quantum Perspective Is Everything) coherence framework produced detectable early warning signatures of the global transition associated with the COVID‑19 pandemic that precede classical amplitude‑based indicators by multiple weeks. These signatures include fenced‑low coherence regions, negative coherence gradients (ΔC), …

(((Qpie))) Prior Art 9 Of 9 Declaration Master Framework – Global Resonance Alignment, Teddy Burroughs

Defensive Publications Series

The Grand Unified Theory (QPIE)

Perspective Is Everything – What we are Believing, Expecting and Feeling in Life Matters

(((QPIE))) Prior Art 9 of 9 Declaration Master Framework – Global Resonance Alignment

Global Alignment Declaration — QPIE Master Framework

Synthesizing review of the first 12 TD-Commons Prior-Art Disclosures

Introduction — A Framework for Global Resonance via CGT Infused Coherence

As a reviewer of the full body of QPIE prior-art disclosures, one sees not a collection of independent papers — but a single, unifying architecture. QPIE (Quantum Perspective Is Everything) is not simply a theory. It is a resonance-operating system, …

(((Qpie))) The Manifesto Of Homo Resonans: 3 Part Deep Dive, Teddy Burroughs

Defensive Publications Series

(((QPIE))) THE MANIFESTO OF HOMO RESONANS: 3 Part Deep Dive

QPIE, SUBSTRATE COHERENCE, AND THE END OF PSYCHOLOGICAL DECOHERENCE

Humanity stands at an inflection—an energetic, cognitive, and civilizational hinge—where the old psychological architectures that governed the last ten thousand years are showing their limits. For millennia, societies relied on dualistic sorting mechanisms: good versus evil, winner versus loser, right versus wrong, gifted versus mediocre. These categories simplified administration, myth, and power. But simplicity came at a cost: chronic decoherence, adversarial internal narratives, fragmented social dynamics, and a deep systemic friction that progressively calcified into institutions, economies, and identities.

The newly …

(((Qpie))): Non-Local Substrate Resonance Field (Nsrf) First Manifesto A Public, Canonical, And Scientifically Anchored Declaration, Teddy Burroughs

Defensive Publications Series

(((QPIE))): Non-Local Substrate Resonance Field (NSRF) First Manifesto

A Public, Canonical, and Scientifically Anchored Declaration

I. Introduction — What This Is and Why It Matters

The history of modern science is a story of disconnection: of separating objects from context, atoms from waves, systems from observers, and meaning from measurement. What was once referred to as “aether,” “field,” or “substrate” became fragmented language or metaphor — useful in calculation but forbidden in ontology.

This avoided question — what is the medium of reality itself? — created not clarity, but blind spots. Physics became powerful, yet incomplete. It described behavior …

Ml-Based Pre-Transaction Nfc Application Prediction, Ahmad Rahmati, Roshan Pius, Amol Tuli

Defensive Publications Series

This disclosure describes a system and method for predicting a user's intended Near Field Communication (NFC) use case before a complete NFC transaction occurs. Unlike existing reactive NFC systems that rely on Application ID (AID) acquisition during a transaction, this system leverages machine learning (ML) models trained with diverse contextual data to anticipate the AID and further disambiguate between multiple use cases or applications for the same AID. This pre-transaction prediction enhances user experience and efficiency by reducing friction, saving time, reducing risk of accidental payments, and enabling seamless and intuitive NFC interactions, such as automatically presenting the correct pass …

Gated Multi-Source Forcing For Auto-Regressive Sequence Generation, Victor Carbune, Florian Hartmann

Defensive Publications Series

In decentralized machine learning environments, a local model's auto-regressive sequence generation may have performance limitations compared to a larger, centralized model, as it could lack a mechanism to leverage external knowledge during inference. A gated, multi-source forcing mechanism can dynamically evaluate a local model's uncertainty during the generation process, for example, by calculating prediction entropy. If uncertainty exceeds a configurable threshold, a token may be retrieved from an external teacher source, such as a remote centralized model or an on-device data corpus. This retrieved token can then be injected into the local model's decoding stream to guide its subsequent generation. …

Parallel Speculative Reasoning With Variable Budgets In Generative Models, Victor Carbune, Florian Hartmann

Defensive Publications Series

Generative models employing a sequential internal reasoning process with a fixed computational budget may experience latency or produce lower-quality outputs. A system for parallel speculative decoding with variable budgets can analyze an input prompt to predict a distribution of potential computational budgets and subsequently initiate multiple decoding streams in parallel, where each stream may be conditioned on a different budget from the distribution. An early termination mechanism can monitor the parallel streams and select a response from a stream that finishes its generation process, without waiting for more computationally intensive streams to complete. This technique can manage the trade-off between …

Automatic Refinement Of Audio-Coupled Haptic Waveforms, Jian-Zhi Tseng, Leonard Ian, Jianxun Wang

Defensive Publications Series

Audio-coupled haptics (ACH) is realized via temporal synchronization of haptic feedback with an audio cadence to deliver an immersive, multi-channel tactile experience. ACH waveforms are tailored to the characteristics of a particular actuator and are usually not optimized when applied to subsequent generations or devices with different actuators. This disclosure describes techniques that ensure that legacy audio-coupled waveforms deliver a boosted and optimized user experience across diverse devices. A measure is defined that can reliably compare frequency response curves for different actuators, enabling refinement of ACH parameters. Given a certain ACH waveform, a scalable procedure identifies its piecewise linear envelope …

A System And Method For Validating Payee Identity In Unified Payments Interface (Upi) Based Payment Transactions, Alok Roy

Defensive Publications Series

The present disclosure relates to a system and method for validating payee identity in unified payments interface (UPI) based payment transactions. The method prevents misrouted payments in a digital payment environment, specifically addresses risks associated with mobile number reassignment. The system includes a mobile number re-authentication module designed to detect re-linking of mobile numbers to new accounts and an identity-change ledger that records historical mappings of mobile numbers to account holder identities. The method initiates by receiving a mobile number entry from a payor, performing a validation step that cross-references the entered number against the identity-change ledger, and generating a …

Load Shaping For The Reduced Grid Co2 Emissions And Energy Market Cost, N/A

Defensive Publications Series

The present disclosure is directed to identifying daily key predictive features through a high-fidelity, counterfactual grid simulation of the Electric Reliability Council of Texas (ERCOT) market to evaluate the impact of various load-shaping strategies on CO2 emissions and energy costs. Key predictive features may include seasonality data expressed as grid net demand (GND) and the daily minimum locational marginal price (LMP), which determine a strategy's effectiveness. Based on these features, a system can determine a rule-based algorithm that selects the optimal load-shaping strategy for the upcoming day based on predicted grid conditions. The approach can significantly reduce CO2 emissions while …

Graphical Display Of A Career In Chronological Order With Achievement Percentiles, Safwan Samla

Defensive Publications Series

A digital representation of a person’s career is provided in a manner that is easy to follow and provides important statistics relating to achievement assessments relative to others. A person’s career can be displayed through a graphical user interface comprising an X and Y plot wherein the X-axis comprises a timeline determined by a person’s career and the Y-axis comprises data-based categories pertaining to different achievement and experiences from the person’s career.

Hybrid Multicast Transport Support, Anonymous

Defensive Publications Series

RFC 6513 and RFC 6514 define NG-MVPN procedures in which PEs use BGP MCAST-VPN routes (e.g., RT-1 I-PMSI A-D) to auto-discover participation and to bind multicast delivery to a provider tunnel (P-tunnel) identified by the PMSI Tunnel attribute (Tunnel Type plus identifiers/labels). In practice, a single PMSI binding typically forces a single transport choice across all leaves (e.g., mLDP P2MP for core-efficient replication or ingress replication for simplified edge requirements), limiting mixed-capability deployments. This document describes techniques that allow heterogeneous P-tunnel transports within one NG-MVPN instance by having an ingress PE concurrently support multiple tunnel types and admit egress PEs …

Tone Mapping Using Negative Values To Represent Luminance Below Reference Black, Yannis Guyon, Nathan Gauër

Defensive Publications Series

High Dynamic Range (HDR) tone mapping traditionally extends brightness above a reference white value but uses a fixed floor of zero for black, which maps to a display's minimum luminance setting. This limits creative control over shadow detail by content creators, e.g., the ability to choose blacks deeper than those for which legacy content was mastered or to choose to keep content at a reference black regardless of a display's minimum luminance setting. This disclosure describes a method for extending the HDR tone-mapping range to include negative values, allowing for greater flexibility in tone mapping shadows. In this approach, the …

Coordinated Bid Optimization For Profit-Neutral Revenue Maximization, Vinnu Bhardwaj

Defensive Publications Series

The present disclosure is directed to a method that addresses complex coordinated bidding challenges faced by parent organizations that operate multiple advertising entities or sub-brands. This approach is designed to achieve revenue maximization across the entities while maintaining profit neutrality relative to a predefined baseline for a given market. The technology utilizes bid simulation data provided by an advertising platform provider, which generates projected key performance indicators (KPIs) across various bid levels. The method involves modeling campaign performance using Log-Quadratic curves, aggregating these relationships to derive entity- and market-level performance curves, modeling profit-revenue functions using polynomial regression, and employing a …

Automated Multi-Engine Text-To-Speech System With Self-Assessment Quality Control For Long-Form Audio Production, David R P Chiesa

Defensive Publications Series

Current automated text-to-speech systems for long-form audio production suffer from inconsistent quality, limited emotional range, and inability to self-correct output deficiencies. Professional audiobook and radio drama production requires human narrators specifically because automated systems cannot achieve the performance quality, character consistency, and emotional nuance necessary for extended listening experiences. This creates a significant cost barrier for independent authors and small publishers, where professional narration costs £200-500 per finished hour.

This disclosure presents an automated multi-engine text-to-speech system that achieves professional broadcast quality through coordinated engine selection, performance enhancement techniques, and iterative quality refinement. The system employs two specialized synthesis engines: …

"Dual-Ai Orchestration System For Persistent Project Memory In Software Development Environments", David R P Chiesa

Defensive Publications Series

This disclosure presents a dual-AI orchestration system that solves the persistent context loss problem in AI-assisted software development. Current AI assistants maintain conversation memory only within individual sessions, requiring developers to repeatedly re-explain project context when resuming work after hours, days, or weeks. This creates significant productivity loss and escalating API costs as complete project context must be reloaded with each session.

The disclosed system coordinates a local AI instance with cloud-based AI services through hierarchical knowledge base integration. The local AI manages a structured vault containing project documentation, code history, and conversational logs organized in hierarchical layers from high-level …

New Quad-Phase Smart Power Stage For Higher Current Density Vertical Power Module, N/A

Defensive Publications Series

The present disclosure is directed to a quad-phase smart power stage (SPS) designed to address the increasing power demands of high-performance computing and machine learning processors such as hardware accelerators, tensor processing units (TPU), graphics processing units (GPUs), and high-performance system on chips (SoCs) in densified data centers. Existing dual-phase power solutions may not meet the rising current density requirements and are limited by a larger physical profile. The present disclosure integrates four power stages into a single, compact package (e.g., 7x7 mm), enabling the creation of a densified vertical power (VPWR) building block. This high-integration architecture can achieve a …

Dynamic Prioritization Of Flight Search Queries To Control Computational Resource Allocation, Christopher Small, Thomas Abraham, Rujith De Silva, Allan Fraser, Jason Letourneau, Kartik Maheshwari, Leonardo Andres Moleiro White, Cedric Poirot, Ramitha Sai Ravishankar

Defensive Publications Series

Systems that utilize real-time offer construction, such as flight search systems, can experience high volumes of computationally expensive queries that may have low conversion rates, potentially leading to inefficient resource allocation. A system for dynamic query prioritization can address this potential inefficiency. The system may intercept an incoming search query and use an analysis engine to assign a real-time priority score. This analysis engine can employ machine learning models trained on historical transaction data to determine the score. Based on this score, the system can apply a set of configurable controls to modulate the computational response. For example, the system …