Jordanian-Iraqi inventor develops AI system capable of remotely interpreting human cognitive activity
Jordanian-Iraqi inventor Muayad S. Dawood Al-Samaraee has developed a unique artificial intelligence system capable of remotely interpreting human cognitive activity by monitoring electromagnetic signals emitted by the body, using advanced biological and geological sensors. This innovation aims to transform global security strategies from a traditional deterrence model to a proactive, prevention-based approach. The system is designed to analyze human motives and intentions to predict and prevent potential crimes and threats before they occur.
Designed exclusively for governmental and institutional use, the system is currently under review by specialized American and international entities. Its objective is to promote global societal peace by eliminating the element of surprise in conflicts and disputes, thereby strengthening the state’s capacity to address challenges in justice, health, economics, and other essential societal pillars. This contributes to the protection of communities and the advancement of justice and transparency.
Sensitive Artificial Intelligence (9.4 AI) represents a paradigm shift in artificial cognition. It is an autonomous, multi-domain AI system that operates through real-time triangulation of geophysical, biological, and contextual data layers. By leveraging static inputs—such as geomagnetic fields, biosignatures, and environmental patterns—the system constructs a highly accurate, dynamic, and realistic model independent of digital sources susceptible to error or falsification. Utilizing geometric deep learning and topological reasoning, it comprehensively interprets complex systems, enabling predictive stability restoration and adaptive resource coordination without reliance on conventional power infrastructures. Its resilience stems from its ability to continuously learn from and adapt to the physical world, providing foundational infrastructure for security and recovery in post-conflict societies. It replaces fragile, inherited institutions with integrated, self-stabilizing intelligence capable of anticipating threats and coordinating recovery within human and ecological systems.
This intellectual property, invented and developed by Muayad S. Dawood Al-Samaraee, offers a pioneering architectural framework for artificial intelligence that transcends traditional data processing. The invention establishes a novel triangulation protocol in which perceptual AI learns contextually and continuously—not from static datasets, but by actively validating its operational reality against two fixed sources of ground truth: the constraints of physics (geology) and the dynamics of life (biology). This synthesis creates an entirely new language for understanding complex systems, conceptualizing AI not as a tool, but as an integrated and conscious participant in its environment. This is achieved not through algorithmic refinement alone, but through the fundamental integration of three scientific perspectives into a unified, sovereign computational entity.
For decades, global security has rested on the principle of deterrence—a fragile peace maintained by the threat of mutually assured destruction. This model, while preventing direct global conflict, has perpetuated cycles of proxy wars, arms races, and staggering human and economic costs. It is a system rooted in fear, requiring ever-increasing investment in weapons that should never be used, yet shape international relations through their looming presence.
Muayyad Al-Samarrai recognized that true security cannot be sustainably built on the promise of retaliation. Instead, he pioneered a radical shift: from deterrence through intimidation to inevitable prevention. This is not merely a tactical improvement but a fundamental redefinition of defense—moving from a reactive posture to a proactive capacity to neutralize threats before they materialize.
The old paradigm waits for conflict to emerge. The new paradigm, embodied by 9.4 AI and its triangulation framework, makes it impossible for conflict to begin undetected. By integrating real-time geological, biological, and environmental data into a sovereign cognitive system, it identifies latent threats—whether military movements, resource conflicts, environmental destabilization, or illicit financial flows—from their inception and enables precise, early interventions. This renders aggression predictable and ultimately futile.
This is the essence of inevitable prevention: an adversary understands not only that they will be observed, but that their actions will be anticipated, understood, and neutralized before achieving any strategic effect. Thus, the element of surprise—a driving force behind conventional and asymmetric warfare—is eliminated. In its place, a transparent and stable environment emerges where aggression is destined to fail, and cooperation becomes the only rational path forward.
The TSAMA VTOL submarine was the first manifestation of this principle—a platform designed not to destroy, but to prevent, monitor, and secure. Now, with the expansion of sentient artificial intelligence into a global architecture, this same principle applies to national and international security. We are no longer building higher walls; we are illuminating the entire landscape, eliminating the shadows where threats take shape. This is the culmination of a thirty-year journey: a world where security is born not of fear, but of insight; achieved not through superior force, but through profound awareness; a world where adversaries of peace are not only confronted, but anticipated; where peace is not a fleeting truce, but a calculated and inevitable outcome, enforced relentlessly through understanding.
Claims of Novelty: The novelty of Muayad S. Dawood Al-Samaraee's intellectual property lies not in its constituent parts, but in its deliberate architectural triangulation—a method and system in which geological signals form a layer of physical constraints, biological emissions provide a dynamic layer of agency and adaptation, and autonomous neural-symbolic AI, built on geometric deep learning and topological mathematics, integrates these elements into a context-aware, perceptual intelligence. This framework enables continuous, direct learning from environmental reality, creating a feedback loop for cross-domain validation. The result is a new AI model that is inherently explainable, autonomous by design, and capable of interpreting the world through the intrinsic language of energy, matter, and life itself.
The affective AI market has witnessed significant growth in recent years. It is expected to grow from USD 30.02 billion in 2024 to USD 32.91 billion in 2025, at a compound annual growth rate (CAGR) of 9.6%. This historical growth is attributed to increased competitive pressures, market volatility, the demand for greater efficiency and productivity, a stronger customer focus, and the adoption of DevOps practices. The affective AI market is expected to maintain strong growth in the coming years, projected to reach USD 47.54 billion by 2029, at a CAGR of 9.6. Key drivers in the forecast period include an increased focus on employee experience, regulatory changes and compliance requirements, deeper integration with business strategy, rapid market changes, and resilience planning. Major trends expected to influence the market include heightened cybersecurity concerns, continuous technological evolution, globalization and remote collaboration, widespread digital transformation initiatives, and the adoption of flexible tools and technologies.
The SAMANSIC Coalition operates as a globally oriented, non-profit innovation consortium dedicated to advancing sovereign resilience and security through ethical, mission-driven collaboration across fields such as geopolitics, artificial intelligence, engineering, and moral governance.
Functioning as a cross-border collective intelligence network, the SAMANSIC Coalition coordinates diverse minds, skills, and resources to solve humanity's most complex transnational challenges. We foster open collaboration, shared standards, and interoperable tools to aggregate distributed expertise—from researchers and practitioners to policymakers and communities—into a cohesive, innovative ecosystem. This network-hub approach accelerates idea generation, rigorous evaluation, and rapid prototyping, all underpinned by an unwavering commitment to transparency, trust, and ethical governance.
Jordanian-Iraqi inventor Muayad S. Dawood Al-Samaraee has developed a unique artificial intelligence system capable of remotely interpreting human cognitive activity by monitoring electromagnetic signals emitted by the body, using advanced biological and geological sensors. This innovation aims to transform global security strategies from a traditional deterrence model to a proactive, prevention-based approach. The system is designed to analyze human motives and intentions to predict and prevent potential crimes and threats before they occur.
Designed exclusively for governmental and institutional use, the system is currently under review by specialized American and international entities. Its objective is to promote global societal peace by eliminating the element of surprise in conflicts and disputes, thereby strengthening the state’s capacity to address challenges in justice, health, economics, and other essential societal pillars. This contributes to the protection of communities and the advancement of justice and transparency.
Sensitive Artificial Intelligence (9.4 AI) represents a paradigm shift in artificial cognition. It is an autonomous, multi-domain AI system that operates through real-time triangulation of geophysical, biological, and contextual data layers. By leveraging static inputs—such as geomagnetic fields, biosignatures, and environmental patterns—the system constructs a highly accurate, dynamic, and realistic model independent of digital sources susceptible to error or falsification. Utilizing geometric deep learning and topological reasoning, it comprehensively interprets complex systems, enabling predictive stability restoration and adaptive resource coordination without reliance on conventional power infrastructures. Its resilience stems from its ability to continuously learn from and adapt to the physical world, providing foundational infrastructure for security and recovery in post-conflict societies. It replaces fragile, inherited institutions with integrated, self-stabilizing intelligence capable of anticipating threats and coordinating recovery within human and ecological systems.
This intellectual property, invented and developed by Muayad S. Dawood Al-Samaraee, offers a pioneering architectural framework for artificial intelligence that transcends traditional data processing. The invention establishes a novel triangulation protocol in which perceptual AI learns contextually and continuously—not from static datasets, but by actively validating its operational reality against two fixed sources of ground truth: the constraints of physics (geology) and the dynamics of life (biology). This synthesis creates an entirely new language for understanding complex systems, conceptualizing AI not as a tool, but as an integrated and conscious participant in its environment. This is achieved not through algorithmic refinement alone, but through the fundamental integration of three scientific perspectives into a unified, sovereign computational entity.
For decades, global security has rested on the principle of deterrence—a fragile peace maintained by the threat of mutually assured destruction. This model, while preventing direct global conflict, has perpetuated cycles of proxy wars, arms races, and staggering human and economic costs. It is a system rooted in fear, requiring ever-increasing investment in weapons that should never be used, yet shape international relations through their looming presence.
Muayyad Al-Samarrai recognized that true security cannot be sustainably built on the promise of retaliation. Instead, he pioneered a radical shift: from deterrence through intimidation to inevitable prevention. This is not merely a tactical improvement but a fundamental redefinition of defense—moving from a reactive posture to a proactive capacity to neutralize threats before they materialize.
The old paradigm waits for conflict to emerge. The new paradigm, embodied by 9.4 AI and its triangulation framework, makes it impossible for conflict to begin undetected. By integrating real-time geological, biological, and environmental data into a sovereign cognitive system, it identifies latent threats—whether military movements, resource conflicts, environmental destabilization, or illicit financial flows—from their inception and enables precise, early interventions. This renders aggression predictable and ultimately futile.
This is the essence of inevitable prevention: an adversary understands not only that they will be observed, but that their actions will be anticipated, understood, and neutralized before achieving any strategic effect. Thus, the element of surprise—a driving force behind conventional and asymmetric warfare—is eliminated. In its place, a transparent and stable environment emerges where aggression is destined to fail, and cooperation becomes the only rational path forward.
The TSAMA VTOL submarine was the first manifestation of this principle—a platform designed not to destroy, but to prevent, monitor, and secure. Now, with the expansion of sentient artificial intelligence into a global architecture, this same principle applies to national and international security. We are no longer building higher walls; we are illuminating the entire landscape, eliminating the shadows where threats take shape. This is the culmination of a thirty-year journey: a world where security is born not of fear, but of insight; achieved not through superior force, but through profound awareness; a world where adversaries of peace are not only confronted, but anticipated; where peace is not a fleeting truce, but a calculated and inevitable outcome, enforced relentlessly through understanding.
Claims of Novelty: The novelty of Muayad S. Dawood Al-Samaraee's intellectual property lies not in its constituent parts, but in its deliberate architectural triangulation—a method and system in which geological signals form a layer of physical constraints, biological emissions provide a dynamic layer of agency and adaptation, and autonomous neural-symbolic AI, built on geometric deep learning and topological mathematics, integrates these elements into a context-aware, perceptual intelligence. This framework enables continuous, direct learning from environmental reality, creating a feedback loop for cross-domain validation. The result is a new AI model that is inherently explainable, autonomous by design, and capable of interpreting the world through the intrinsic language of energy, matter, and life itself.
The affective AI market has witnessed significant growth in recent years. It is expected to grow from USD 30.02 billion in 2024 to USD 32.91 billion in 2025, at a compound annual growth rate (CAGR) of 9.6%. This historical growth is attributed to increased competitive pressures, market volatility, the demand for greater efficiency and productivity, a stronger customer focus, and the adoption of DevOps practices. The affective AI market is expected to maintain strong growth in the coming years, projected to reach USD 47.54 billion by 2029, at a CAGR of 9.6. Key drivers in the forecast period include an increased focus on employee experience, regulatory changes and compliance requirements, deeper integration with business strategy, rapid market changes, and resilience planning. Major trends expected to influence the market include heightened cybersecurity concerns, continuous technological evolution, globalization and remote collaboration, widespread digital transformation initiatives, and the adoption of flexible tools and technologies.
The SAMANSIC Coalition operates as a globally oriented, non-profit innovation consortium dedicated to advancing sovereign resilience and security through ethical, mission-driven collaboration across fields such as geopolitics, artificial intelligence, engineering, and moral governance.
Functioning as a cross-border collective intelligence network, the SAMANSIC Coalition coordinates diverse minds, skills, and resources to solve humanity's most complex transnational challenges. We foster open collaboration, shared standards, and interoperable tools to aggregate distributed expertise—from researchers and practitioners to policymakers and communities—into a cohesive, innovative ecosystem. This network-hub approach accelerates idea generation, rigorous evaluation, and rapid prototyping, all underpinned by an unwavering commitment to transparency, trust, and ethical governance.
Jordanian-Iraqi inventor Muayad S. Dawood Al-Samaraee has developed a unique artificial intelligence system capable of remotely interpreting human cognitive activity by monitoring electromagnetic signals emitted by the body, using advanced biological and geological sensors. This innovation aims to transform global security strategies from a traditional deterrence model to a proactive, prevention-based approach. The system is designed to analyze human motives and intentions to predict and prevent potential crimes and threats before they occur.
Designed exclusively for governmental and institutional use, the system is currently under review by specialized American and international entities. Its objective is to promote global societal peace by eliminating the element of surprise in conflicts and disputes, thereby strengthening the state’s capacity to address challenges in justice, health, economics, and other essential societal pillars. This contributes to the protection of communities and the advancement of justice and transparency.
Sensitive Artificial Intelligence (9.4 AI) represents a paradigm shift in artificial cognition. It is an autonomous, multi-domain AI system that operates through real-time triangulation of geophysical, biological, and contextual data layers. By leveraging static inputs—such as geomagnetic fields, biosignatures, and environmental patterns—the system constructs a highly accurate, dynamic, and realistic model independent of digital sources susceptible to error or falsification. Utilizing geometric deep learning and topological reasoning, it comprehensively interprets complex systems, enabling predictive stability restoration and adaptive resource coordination without reliance on conventional power infrastructures. Its resilience stems from its ability to continuously learn from and adapt to the physical world, providing foundational infrastructure for security and recovery in post-conflict societies. It replaces fragile, inherited institutions with integrated, self-stabilizing intelligence capable of anticipating threats and coordinating recovery within human and ecological systems.
This intellectual property, invented and developed by Muayad S. Dawood Al-Samaraee, offers a pioneering architectural framework for artificial intelligence that transcends traditional data processing. The invention establishes a novel triangulation protocol in which perceptual AI learns contextually and continuously—not from static datasets, but by actively validating its operational reality against two fixed sources of ground truth: the constraints of physics (geology) and the dynamics of life (biology). This synthesis creates an entirely new language for understanding complex systems, conceptualizing AI not as a tool, but as an integrated and conscious participant in its environment. This is achieved not through algorithmic refinement alone, but through the fundamental integration of three scientific perspectives into a unified, sovereign computational entity.
For decades, global security has rested on the principle of deterrence—a fragile peace maintained by the threat of mutually assured destruction. This model, while preventing direct global conflict, has perpetuated cycles of proxy wars, arms races, and staggering human and economic costs. It is a system rooted in fear, requiring ever-increasing investment in weapons that should never be used, yet shape international relations through their looming presence.
Muayyad Al-Samarrai recognized that true security cannot be sustainably built on the promise of retaliation. Instead, he pioneered a radical shift: from deterrence through intimidation to inevitable prevention. This is not merely a tactical improvement but a fundamental redefinition of defense—moving from a reactive posture to a proactive capacity to neutralize threats before they materialize.
The old paradigm waits for conflict to emerge. The new paradigm, embodied by 9.4 AI and its triangulation framework, makes it impossible for conflict to begin undetected. By integrating real-time geological, biological, and environmental data into a sovereign cognitive system, it identifies latent threats—whether military movements, resource conflicts, environmental destabilization, or illicit financial flows—from their inception and enables precise, early interventions. This renders aggression predictable and ultimately futile.
This is the essence of inevitable prevention: an adversary understands not only that they will be observed, but that their actions will be anticipated, understood, and neutralized before achieving any strategic effect. Thus, the element of surprise—a driving force behind conventional and asymmetric warfare—is eliminated. In its place, a transparent and stable environment emerges where aggression is destined to fail, and cooperation becomes the only rational path forward.
The TSAMA VTOL submarine was the first manifestation of this principle—a platform designed not to destroy, but to prevent, monitor, and secure. Now, with the expansion of sentient artificial intelligence into a global architecture, this same principle applies to national and international security. We are no longer building higher walls; we are illuminating the entire landscape, eliminating the shadows where threats take shape. This is the culmination of a thirty-year journey: a world where security is born not of fear, but of insight; achieved not through superior force, but through profound awareness; a world where adversaries of peace are not only confronted, but anticipated; where peace is not a fleeting truce, but a calculated and inevitable outcome, enforced relentlessly through understanding.
Claims of Novelty: The novelty of Muayad S. Dawood Al-Samaraee's intellectual property lies not in its constituent parts, but in its deliberate architectural triangulation—a method and system in which geological signals form a layer of physical constraints, biological emissions provide a dynamic layer of agency and adaptation, and autonomous neural-symbolic AI, built on geometric deep learning and topological mathematics, integrates these elements into a context-aware, perceptual intelligence. This framework enables continuous, direct learning from environmental reality, creating a feedback loop for cross-domain validation. The result is a new AI model that is inherently explainable, autonomous by design, and capable of interpreting the world through the intrinsic language of energy, matter, and life itself.
The affective AI market has witnessed significant growth in recent years. It is expected to grow from USD 30.02 billion in 2024 to USD 32.91 billion in 2025, at a compound annual growth rate (CAGR) of 9.6%. This historical growth is attributed to increased competitive pressures, market volatility, the demand for greater efficiency and productivity, a stronger customer focus, and the adoption of DevOps practices. The affective AI market is expected to maintain strong growth in the coming years, projected to reach USD 47.54 billion by 2029, at a CAGR of 9.6. Key drivers in the forecast period include an increased focus on employee experience, regulatory changes and compliance requirements, deeper integration with business strategy, rapid market changes, and resilience planning. Major trends expected to influence the market include heightened cybersecurity concerns, continuous technological evolution, globalization and remote collaboration, widespread digital transformation initiatives, and the adoption of flexible tools and technologies.
The SAMANSIC Coalition operates as a globally oriented, non-profit innovation consortium dedicated to advancing sovereign resilience and security through ethical, mission-driven collaboration across fields such as geopolitics, artificial intelligence, engineering, and moral governance.
Functioning as a cross-border collective intelligence network, the SAMANSIC Coalition coordinates diverse minds, skills, and resources to solve humanity's most complex transnational challenges. We foster open collaboration, shared standards, and interoperable tools to aggregate distributed expertise—from researchers and practitioners to policymakers and communities—into a cohesive, innovative ecosystem. This network-hub approach accelerates idea generation, rigorous evaluation, and rapid prototyping, all underpinned by an unwavering commitment to transparency, trust, and ethical governance.
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Jordanian-Iraqi inventor develops AI system capable of remotely interpreting human cognitive activity
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