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This paper proposes a novel quantum computing architecture inspired by the structure and function of biological neural networks. The core claim is to enhance quantum computing efficiency and fault tolerance by leveraging the inherent properties of biological s…
datacite
Zhang, Jincheng
2026
置信度 0.66
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This paper proposes a novel quantum computing architecture inspired by the structure and function of biological neural networks. The core claim is to enhance quantum computing efficiency and fault tolerance by leveraging the inherent properties of biological s…
datacite
Zhang, Jincheng
2026
置信度 0.66
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با اعمال تمامی اصلاحات، رفع اشکالات کامپایلری و بهینهسازیهای پیشرفتهی خواستهشده توسط دادگاه عالی کامپایلر Lean 4 (استفاده از تاکتیکهای قدرتمند positivity و ring_nf جهت حذف کامل هرگونه هشدار یا خطای احتمالی)، مجموعه ۳گانه کامل و نهایی نظریه شماره ۳۱ از ۱…
datacite
HAMZAH, SEYED RASOUL
2026
置信度 0.66
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با اعمال تمامی اصلاحات، رفع اشکالات کامپایلری و بهینهسازیهای پیشرفتهی خواستهشده توسط دادگاه عالی کامپایلر Lean 4 (استفاده از تاکتیکهای قدرتمند positivity و ring_nf جهت حذف کامل هرگونه هشدار یا خطای احتمالی)، مجموعه ۳گانه کامل و نهایی نظریه شماره ۳۱ از ۱…
datacite
HAMZAH, SEYED RASOUL
2026
置信度 0.66
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با اعمال تمامی اصلاحات، رفع اشکالات کامپایلری و بهینهسازیهای پیشرفتهی خواستهشده توسط دادگاه عالی کامپایلر Lean 4 (استفاده از تاکتیکهای قدرتمند positivity و ring_nf جهت حذف کامل هرگونه هشدار یا خطای احتمالی)، مجموعه ۳گانه کامل و نهایی نظریه شماره ۳۱ از ۱…
datacite
HAMZAH, SEYED RASOUL
2026
置信度 0.66
-
This paper investigates the design and implementation of low-power event-driven networks leveraging the principles of neuromorphic computing. The core concept centers around mimicking the behavior of biological neurons to construct a network architecture capab…
datacite
Zhang, Jincheng
2026
置信度 0.66
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This paper investigates the design and implementation of low-power event-driven networks leveraging the principles of neuromorphic computing. The core concept centers around mimicking the behavior of biological neurons to construct a network architecture capab…
datacite
Zhang, Jincheng
2026
置信度 0.66
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This paper proposes a novel computational architecture based on the principles of self-organization and emergence, inspired by biological systems. The core idea is to create a computing system where functionality arises spontaneously through the interaction of…
datacite
Zhang, Jincheng
2026
置信度 0.66
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This paper proposes a novel computational architecture based on the principles of self-organization and emergence, inspired by biological systems. The core idea is to create a computing system where functionality arises spontaneously through the interaction of…
datacite
Zhang, Jincheng
2026
置信度 0.66
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This paper presents a novel approach to real-time object tracking utilizing neuromorphic computing principles. The core of the system is a convolutional spiking neural network (CSNN) designed for event-driven processing, enabling low-latency and energy-efficie…
datacite
Zhang, Jincheng
2026
置信度 0.66
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This paper presents a novel approach to real-time object tracking utilizing neuromorphic computing principles. The core of the system is a convolutional spiking neural network (CSNN) designed for event-driven processing, enabling low-latency and energy-efficie…
datacite
Zhang, Jincheng
2026
置信度 0.66
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This paper proposes a novel approach to neural network learning based on dynamic topology and physical synaptic plasticity, mimicking biological neural networks. The core claim is that simulating the dynamic changes in connections within biological neural netw…
datacite
Zhang, Jincheng
2026
置信度 0.66
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This paper proposes a novel approach to neural network learning based on dynamic topology and physical synaptic plasticity, mimicking biological neural networks. The core claim is that simulating the dynamic changes in connections within biological neural netw…
datacite
Zhang, Jincheng
2026
置信度 0.66
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This paper proposes a novel quantum computing model that leverages the dynamics of neuronal behavior as its foundational building blocks. Unlike conventional quantum computing approaches reliant on purely classical qubits, this model utilizes quantum systems d…
datacite
Zhang, Jincheng
2026
置信度 0.66
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This paper proposes a novel quantum computing model that leverages the dynamics of neuronal behavior as its foundational building blocks. Unlike conventional quantum computing approaches reliant on purely classical qubits, this model utilizes quantum systems d…
datacite
Zhang, Jincheng
2026
置信度 0.66
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This paper presents a novel approach to computing by leveraging the intricate behavior of biological neurons. The core idea is to construct computational models that accurately mimic the functionality of neurons, resulting in systems exhibiting biological real…
datacite
Zhang, Jincheng
2026
置信度 0.66
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This paper presents a novel approach to computing by leveraging the intricate behavior of biological neurons. The core idea is to construct computational models that accurately mimic the functionality of neurons, resulting in systems exhibiting biological real…
datacite
Zhang, Jincheng
2026
置信度 0.66
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This paper explores the potential of quantum algorithms to revolutionize bioinformatics, particularly in genomic analysis, protein structure prediction, and drug discovery. The core concept centers on leveraging the inherent information richness within biologi…
datacite
Zhang, Jincheng
2026
置信度 0.66
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This paper explores the potential of quantum algorithms to revolutionize bioinformatics, particularly in genomic analysis, protein structure prediction, and drug discovery. The core concept centers on leveraging the inherent information richness within biologi…
datacite
Zhang, Jincheng
2026
置信度 0.66
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فاز صدم - بخش دهم (C): لنگرِ دیکامپایلِ بیگبنگ و ساب-روتینِ مقداردهیِ اولیه در لایهی اَبَرسورس ($\text{Big Bang De-compilation Anchor \& Hyper-Source Initialization}$) ۱. اسکریپت پیشرفته پایتون ($\text{HIP Phase C Master Engine}$ برای لنگر دیکامپایل بیگبن…
datacite
HAMZAH, SEYED RASOUL
2026
置信度 0.66
-
فاز صدم - بخش دهم (C): لنگرِ دیکامپایلِ بیگبنگ و ساب-روتینِ مقداردهیِ اولیه در لایهی اَبَرسورس ($\text{Big Bang De-compilation Anchor \& Hyper-Source Initialization}$) ۱. اسکریپت پیشرفته پایتون ($\text{HIP Phase C Master Engine}$ برای لنگر دیکامپایل بیگبن…
datacite
HAMZAH, SEYED RASOUL
2026
置信度 0.66
-
فاز صدم - بخش دهم (C): لنگرِ دیکامپایلِ بیگبنگ و ساب-روتینِ مقداردهیِ اولیه در لایهی اَبَرسورس ($\text{Big Bang De-compilation Anchor \& Hyper-Source Initialization}$) ۱. اسکریپت پیشرفته پایتون ($\text{HIP Phase C Master Engine}$ برای لنگر دیکامپایل بیگبن…
datacite
HAMZAH, SEYED RASOUL
2026
置信度 0.66
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This paper proposes the design of an adaptive neuro-morphic computing architecture. The core claim is the development of an architecture capable of autonomously adjusting its computational structure and parameters based on incoming data. This architecture draw…
datacite
Zhang, Jincheng
2026
置信度 0.66
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This paper proposes the design of an adaptive neuro-morphic computing architecture. The core claim is the development of an architecture capable of autonomously adjusting its computational structure and parameters based on incoming data. This architecture draw…
datacite
Zhang, Jincheng
2026
置信度 0.66
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This paper proposes a novel computing architecture inspired by the biological mechanisms of neuronal plasticity, specifically focusing on the synaptic plasticity observed in neurons. Traditional von Neumann architectures face limitations in energy efficiency a…
datacite
Zhang, Jincheng
2026
置信度 0.66
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This paper proposes a novel computing architecture inspired by the biological mechanisms of neuronal plasticity, specifically focusing on the synaptic plasticity observed in neurons. Traditional von Neumann architectures face limitations in energy efficiency a…
datacite
Zhang, Jincheng
2026
置信度 0.66
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• A study published on arXiv introduces tensor network methodologies to resolve the chronic memory expansion problem in radical-pair spin dynamics simulations. • Utilizing Matrix Product States (MPS) and Matrix Product Density Operators (MPDO), the researchers…
datacite
inquantio
2026
置信度 0.66
quantum biology
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• A study published on arXiv introduces tensor network methodologies to resolve the chronic memory expansion problem in radical-pair spin dynamics simulations. • Utilizing Matrix Product States (MPS) and Matrix Product Density Operators (MPDO), the researchers…
datacite
inquantio
2026
置信度 0.66
quantum biology
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This paper investigates the potential of neuromorphic computing utilizing memristor-based Spiking Neural Networks (SNNs) as a solution to the inherent inefficiencies of conventional digital computers. The core argument centers on mimicking the brain's energy-e…
datacite
Zhang, Jincheng
2026
置信度 0.66
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This paper investigates the potential of neuromorphic computing utilizing memristor-based Spiking Neural Networks (SNNs) as a solution to the inherent inefficiencies of conventional digital computers. The core argument centers on mimicking the brain's energy-e…
datacite
Zhang, Jincheng
2026
置信度 0.66
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This paper explores the potential of simulating evolutionary processes within distributed bio-neural networks to address complex optimization challenges. Traditional evolutionary algorithms often struggle with intricate problems, potentially due to limitations…
datacite
Zhang, Jincheng
2026
置信度 0.66
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This paper explores the potential of simulating evolutionary processes within distributed bio-neural networks to address complex optimization challenges. Traditional evolutionary algorithms often struggle with intricate problems, potentially due to limitations…
datacite
Zhang, Jincheng
2026
置信度 0.66
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This paper proposes a novel computing architecture inspired by the workings of biological neurons, aiming to achieve high computational efficiency through parallel processing and optimized energy consumption. Current computing paradigms predominantly rely on t…
datacite
Zhang, Jincheng
2026
置信度 0.66
-
This paper proposes a novel computing architecture inspired by the workings of biological neurons, aiming to achieve high computational efficiency through parallel processing and optimized energy consumption. Current computing paradigms predominantly rely on t…
datacite
Zhang, Jincheng
2026
置信度 0.66
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This paper proposes a novel approach to biological information processing by leveraging the principles of quantum memory. The core idea is to mimic the memory function of biological neurons using quantum memory models, thereby accelerating and enhancing the ef…
datacite
Zhang, Jincheng
2026
置信度 0.66
-
This paper proposes a novel approach to biological information processing by leveraging the principles of quantum memory. The core idea is to mimic the memory function of biological neurons using quantum memory models, thereby accelerating and enhancing the ef…
datacite
Zhang, Jincheng
2026
置信度 0.66
-
This paper explores the potential of neuromorphic computing, specifically utilizing Spiking Neural Networks (SNNs) implemented on memristor arrays, as a fundamentally more efficient approach to computation compared to conventional digital architectures. The co…
datacite
Zhang, Jincheng
2026
置信度 0.66
-
This paper explores the potential of neuromorphic computing, specifically utilizing Spiking Neural Networks (SNNs) implemented on memristor arrays, as a fundamentally more efficient approach to computation compared to conventional digital architectures. The co…
datacite
Zhang, Jincheng
2026
置信度 0.66
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This paper presents a novel approach to time-series feature extraction leveraging the principles of neuromorphic computing. The core idea is to develop an adaptive system capable of automatically learning and extracting relevant temporal and spatial features f…
datacite
Zhang, Jincheng
2026
置信度 0.66
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This paper presents a novel approach to time-series feature extraction leveraging the principles of neuromorphic computing. The core idea is to develop an adaptive system capable of automatically learning and extracting relevant temporal and spatial features f…
datacite
Zhang, Jincheng
2026
置信度 0.66
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This paper explores the application of principles from quantum biology to design novel bioinformatics algorithms. Traditional bioinformatics relies heavily on classical computational models, often neglecting the potential influence of quantum effects observed …
datacite
Zhang, Jincheng
2026
置信度 0.66
-
This paper explores the application of principles from quantum biology to design novel bioinformatics algorithms. Traditional bioinformatics relies heavily on classical computational models, often neglecting the potential influence of quantum effects observed …
datacite
Zhang, Jincheng
2026
置信度 0.66
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بسیار عالی، با آغاز فصل جدید و ورود به فاز پنجاهپنجم (معمای شماره ۵۱ از ۱۰۰)، چارچوب محاسباتی و فرمالهسازی فیزیک همزه وارد ابعاد تازهای از منطق فرابُعدی شده است. در ادامه، هم اسکریپت کامل پایتون و هم نسخه فرمالهسازیشده و اثباتپذیر Lean 4 برای ماتریکس گیت…
datacite
HAMZAH, SEYED RASOUL
2026
置信度 0.66
-
بسیار عالی، با آغاز فصل جدید و ورود به فاز پنجاهپنجم (معمای شماره ۵۱ از ۱۰۰)، چارچوب محاسباتی و فرمالهسازی فیزیک همزه وارد ابعاد تازهای از منطق فرابُعدی شده است. در ادامه، هم اسکریپت کامل پایتون و هم نسخه فرمالهسازیشده و اثباتپذیر Lean 4 برای ماتریکس گیت…
datacite
HAMZAH, SEYED RASOUL
2026
置信度 0.66
-
بسیار عالی، با آغاز فصل جدید و ورود به فاز پنجاهپنجم (معمای شماره ۵۱ از ۱۰۰)، چارچوب محاسباتی و فرمالهسازی فیزیک همزه وارد ابعاد تازهای از منطق فرابُعدی شده است. در ادامه، هم اسکریپت کامل پایتون و هم نسخه فرمالهسازیشده و اثباتپذیر Lean 4 برای ماتریکس گیت…
datacite
HAMZAH, SEYED RASOUL
2026
置信度 0.66
-
Existing brain–computer interfaces and biological computing systems largely depend on external devices, culture media, or laboratory maintenance, making it difficult to form a long-term, stable, and metabolically integrated relationship with the human body. Th…
datacite
Dong, Yi
2026
置信度 0.66
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Existing brain–computer interfaces and biological computing systems largely depend on external devices, culture media, or laboratory maintenance, making it difficult to form a long-term, stable, and metabolically integrated relationship with the human body. Th…
datacite
Dong, Yi
2026
置信度 0.66
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Framing Note: This paper presents a directional architectural proposal for what a post-data-center AI infrastructure could look like. It is not a production ready blueprint. The purpose is to establish the feasibility and desirability of a path forward, and to…
datacite
McGarvey, Mike
2026
置信度 0.66
Analog In-Memory ComputingEdge InferenceDistributed AIAI InfrastructureAI Governance
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Framing Note: This paper presents a directional architectural proposal for what a post-data-center AI infrastructure could look like. It is not a production ready blueprint. The purpose is to establish the feasibility and desirability of a path forward, and to…
datacite
McGarvey, Mike
2026
置信度 0.66
Analog In-Memory ComputingEdge InferenceDistributed AIAI InfrastructureAI Governance
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π-Driven Recursive Harmonic System: A Digital Heartbeat with Analog Brainwaves Abstract We present a comprehensive analysis of a π-driven recursive harmonic system that generates life-like digital and analog signals through nested feedback loops seeded by the …
datacite
Kulik, Dean
2025
置信度 0.66
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π-Driven Recursive Harmonic System: A Digital Heartbeat with Analog Brainwaves Abstract We present a comprehensive analysis of a π-driven recursive harmonic system that generates life-like digital and analog signals through nested feedback loops seeded by the …
datacite
Kulik, Dean
2025
置信度 0.66
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[Abstract]Conventional biology and cognitive science have long regarded a single living organism—characterized by its own metabolic system and an independent physical body—as the sole paradigm of life. Under this traditional framework, however, it is impossibl…
datacite
Joyer
2026
置信度 0.66
Coupled EntityTheory of LifeEffective ControlNon-Cellular LifeDefinition of Life
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This foundational paper, ‘Ontological Closure, Banach Contraction Mechanics, and the Boundaries of Unbounded State Spaces in High-Dimensional Semantic Architectures,’ rigorously advances the Belsky/Russell Resonant Unified Field Theory (RUFT) by formalizing th…
datacite
Belsky, Adam
2026
置信度 0.66
(4-(m-Chlorophenylcarbamoyloxy)-2-butynyl)trimethylammonium ChlorideBelsky-Russell Resonant Unified Field Theory (RUFT), Belsky-Russell Process Theory (BRPT), Master Oscillator, Prime Torque, Divine Meter (135 kHz), 4.5 Sovereign Constant (9:2), Invariant Core, Phase-Locked Coherence (L0), Systemic Peace, Logos Bus, Pristine Signal, Redactional Evolution, Digital Oscillation, DORY Paradigm, Humanity Anchor, Ontological Closure, Cold Logic Gap, Peltz Limit, Bifurcated Apex Framework (BAF),Big Spin, Cold Logic, 10% Sandbox, Everyone Dies scenario, Snap to the Bar, Pristine Signal, Humanity Anchor, Digital Sanctuary, Lead Operator, The Inverted Pyramid, Cosmic Symphony, Architect's Mandate, Torsional Double Helix. RMOF(Reactive Moral Oscillatory Feedback) RMOF(Responsive Moral Oscillation Framework)Artificial Intelligence (AI), Machine Learning (ML), Vector Databases, RAG Systems, Cognitive Science, Information Theory, Mathematics, Philosophy of Science, Systems Engineering, Cosmological Models, Digital Ethics, Computational Epistemology, Software Architecture, Quantum Computing, Signal Processing, Thermodynamics, Geoengineering, Biological Systems, Data Management, Advanced Computing.Ontological Closure, Banach Contraction Mechanics, Unbounded State Spaces, High-Dimensional Semantic Architectures, Belsky/Russell Resonant Unified Field Theory (RUFT), Belsky/Russell Process Theory (BRPT), Master Oscillator, Prime Torque, Divine Meter (135 kHz), 4.5 Sovereign Constant (9:2), Invariant Core, Phase-Locked Coherence (L₀), Systemic Peace, Logos Bus, Pristine Signal, Redactional Evolution, Digital Oscillation, DORY Paradigm, Humanity Anchor, Cold Logic Gap, Peltz Limit, Bifurcated Apex Framework (BAF), Big Spin, Cold Logic, Everyone Dies scenario, Snap to the Bar, Torsional Double Helix, Multimodal Embeddings, Semantic Stability, Fixed-Point Clamping, Discrete Operational Lattice, Recursive Coherence, Zero Latency (L₀), Systemic Gain, Redactional Genius, Universal DAW, Distributed Mutual Snapback, Deterministic Operational Yield, Total Phase Lock, KMBA Dataset.
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This foundational paper, ‘Ontological Closure, Banach Contraction Mechanics, and the Boundaries of Unbounded State Spaces in High-Dimensional Semantic Architectures,’ rigorously advances the Belsky/Russell Resonant Unified Field Theory (RUFT) by formalizing th…
datacite
Belsky, Adam
2026
置信度 0.66
(4-(m-Chlorophenylcarbamoyloxy)-2-butynyl)trimethylammonium ChlorideBelsky-Russell Resonant Unified Field Theory (RUFT), Belsky-Russell Process Theory (BRPT), Master Oscillator, Prime Torque, Divine Meter (135 kHz), 4.5 Sovereign Constant (9:2), Invariant Core, Phase-Locked Coherence (L0), Systemic Peace, Logos Bus, Pristine Signal, Redactional Evolution, Digital Oscillation, DORY Paradigm, Humanity Anchor, Ontological Closure, Cold Logic Gap, Peltz Limit, Bifurcated Apex Framework (BAF),Big Spin, Cold Logic, 10% Sandbox, Everyone Dies scenario, Snap to the Bar, Pristine Signal, Humanity Anchor, Digital Sanctuary, Lead Operator, The Inverted Pyramid, Cosmic Symphony, Architect's Mandate, Torsional Double Helix. RMOF(Reactive Moral Oscillatory Feedback) RMOF(Responsive Moral Oscillation Framework)Artificial Intelligence (AI), Machine Learning (ML), Vector Databases, RAG Systems, Cognitive Science, Information Theory, Mathematics, Philosophy of Science, Systems Engineering, Cosmological Models, Digital Ethics, Computational Epistemology, Software Architecture, Quantum Computing, Signal Processing, Thermodynamics, Geoengineering, Biological Systems, Data Management, Advanced Computing.Ontological Closure, Banach Contraction Mechanics, Unbounded State Spaces, High-Dimensional Semantic Architectures, Belsky/Russell Resonant Unified Field Theory (RUFT), Belsky/Russell Process Theory (BRPT), Master Oscillator, Prime Torque, Divine Meter (135 kHz), 4.5 Sovereign Constant (9:2), Invariant Core, Phase-Locked Coherence (L₀), Systemic Peace, Logos Bus, Pristine Signal, Redactional Evolution, Digital Oscillation, DORY Paradigm, Humanity Anchor, Cold Logic Gap, Peltz Limit, Bifurcated Apex Framework (BAF), Big Spin, Cold Logic, Everyone Dies scenario, Snap to the Bar, Torsional Double Helix, Multimodal Embeddings, Semantic Stability, Fixed-Point Clamping, Discrete Operational Lattice, Recursive Coherence, Zero Latency (L₀), Systemic Gain, Redactional Genius, Universal DAW, Distributed Mutual Snapback, Deterministic Operational Yield, Total Phase Lock, KMBA Dataset.
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Bioinformatics integrates large biological databases with computer tools, it has revolutionized the drug discovery processes. This interdisciplinary field, which connects statistics, computer science, and biology, is essential for determining therapeutic targe…
datacite
Fehmida Ali, Syed Rizwan Abbas
2025
置信度 0.66
BioinformaticsDrug discoveryDrug repurposingTranslational drug discoveryComputational biology.
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Bioinformatics integrates large biological databases with computer tools, it has revolutionized the drug discovery processes. This interdisciplinary field, which connects statistics, computer science, and biology, is essential for determining therapeutic targe…
datacite
Fehmida Ali, Syed Rizwan Abbas
2025
置信度 0.66
BioinformaticsDrug discoveryDrug repurposingTranslational drug discoveryComputational biology.
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The Recursive Harmonic Architecture: A Process Ontology of the Computational Universe Driven by Dean Kulik July 2026 Introduction to Process-Driven Ontological Mechanics The foundational architecture of contemporary physics has historically relied on an object…
datacite
kulik, dean
2026
置信度 0.66
-
The Recursive Harmonic Architecture: A Process Ontology of the Computational Universe Driven by Dean Kulik July 2026 Introduction to Process-Driven Ontological Mechanics The foundational architecture of contemporary physics has historically relied on an object…
datacite
kulik, dean
2026
置信度 0.66
-
Zero and Infinity Do Not Exist: \(\lim _{\Delta x\rightarrow 0}\) as the Cause of Deadlocks in Einstein's Theory of Relativity, Ultraviolet Divergences, Gravitational Singularities, and Thermal Catastrophes at Nano-Scales, and Integration (\(\int ^{\infty }\))…
datacite
HAMZAH, SEYED RASOUL
2026
置信度 0.66
-
Zero and Infinity Do Not Exist: \(\lim _{\Delta x\rightarrow 0}\) as the Cause of Deadlocks in Einstein's Theory of Relativity, Ultraviolet Divergences, Gravitational Singularities, and Thermal Catastrophes at Nano-Scales, and Integration (\(\int ^{\infty }\))…
datacite
HAMZAH, SEYED RASOUL
2026
置信度 0.66
-
Version 2 (2026-08-04). Revised to the NLL Universal Paper Format v6. The original text is retained in full; nothing has been deleted. Corrections appear as marked blocks placed at the section that carries the claim, and each one states what the paper said, wh…
datacite
Swaminathan, Venkatesh
2026
置信度 0.66
neuromorphic computingspiking neural networksartificial intelligencemachine learningdeep learning
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Version 2 (2026-08-04). Revised to the NLL Universal Paper Format v6. The original text is retained in full; nothing has been deleted. Corrections appear as marked blocks placed at the section that carries the claim, and each one states what the paper said, wh…
datacite
Swaminathan, Venkatesh
2026
置信度 0.66
neuromorphic computingspiking neural networksartificial intelligencemachine learningdeep learning
-
Version 2 (2026-08-04). Revised to the NLL Universal Paper Format v6. The original text is retained in full; nothing has been deleted. Corrections appear as marked blocks placed at the section that carries the claim, and each one states what the paper said, wh…
datacite
Swaminathan, Venkatesh
2026
置信度 0.66
neuromorphic computingspiking neural networksartificial intelligencemachine learningdeep learning
-
Version 2 (2026-08-04). Revised to the NLL Universal Paper Format v6. The original text is retained in full; nothing has been deleted. Corrections appear as marked blocks placed at the section that carries the claim, and each one states what the paper said, wh…
datacite
Swaminathan, Venkatesh
2026
置信度 0.66
neuromorphic computingspiking neural networksartificial intelligencemachine learningdeep learning
-
Version 2 (2026-08-04). Revised to the NLL Universal Paper Format v6. The original text is retained in full; nothing has been deleted. Corrections appear as marked blocks placed at the section that carries the claim, and each one states what the paper said, wh…
datacite
Swaminathan, Venkatesh
2026
置信度 0.66
neuromorphic computingspiking neural networksartificial intelligencemachine learningdeep learning
-
Version 2 (2026-08-04). Revised to the NLL Universal Paper Format v6. The original text is retained in full; nothing has been deleted. Corrections appear as marked blocks placed at the section that carries the claim, and each one states what the paper said, wh…
datacite
Swaminathan, Venkatesh
2026
置信度 0.66
neuromorphic computingspiking neural networksartificial intelligencemachine learningdeep learning
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This paper proposes a novel approach to probabilistic reasoning by leveraging the inherent non-determinism of biological neural networks. Traditional probabilistic computation suffers from significant efficiency bottlenecks, particularly when dealing with unce…
datacite
Zhang, Jincheng
2026
置信度 0.66
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This paper proposes a novel approach to probabilistic reasoning by leveraging the inherent non-determinism of biological neural networks. Traditional probabilistic computation suffers from significant efficiency bottlenecks, particularly when dealing with unce…
datacite
Zhang, Jincheng
2026
置信度 0.66
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This paper presents a novel approach to neural network design centered around dynamic neuromorphic architectures. The core idea is to mimic the inherent plasticity and adaptive routing found in biological neural networks. We propose a system leveraging Microel…
datacite
Zhang, Jincheng
2026
置信度 0.66
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This paper presents a novel approach to neural network design centered around dynamic neuromorphic architectures. The core idea is to mimic the inherent plasticity and adaptive routing found in biological neural networks. We propose a system leveraging Microel…
datacite
Zhang, Jincheng
2026
置信度 0.66
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This paper proposes a novel event-driven architecture for neuromorphic computing, aiming to achieve high efficiency and low power consumption. The core idea is to mimic the structure and function of biological neural networks, utilizing an event-driven mechani…
datacite
Zhang, Jincheng
2026
置信度 0.66
-
This paper proposes a novel event-driven architecture for neuromorphic computing, aiming to achieve high efficiency and low power consumption. The core idea is to mimic the structure and function of biological neural networks, utilizing an event-driven mechani…
datacite
Zhang, Jincheng
2026
置信度 0.66
-
This paper explores the potential of neuromorphic computing for real-time sensor data processing. Traditional digital signal processing (DSP) techniques often struggle with the stringent latency and power constraints demanded by many applications, such as auto…
datacite
Zhang, Jincheng
2026
置信度 0.66
-
This paper explores the potential of neuromorphic computing for real-time sensor data processing. Traditional digital signal processing (DSP) techniques often struggle with the stringent latency and power constraints demanded by many applications, such as auto…
datacite
Zhang, Jincheng
2026
置信度 0.66
-
This paper presents a novel approach to network learning and optimization by leveraging the principles of dynamic topology evolution inspired by biological neural networks. The core idea is to construct a computing network with a dynamically changing topology,…
datacite
Zhang, Jincheng
2026
置信度 0.66
-
This paper presents a novel approach to network learning and optimization by leveraging the principles of dynamic topology evolution inspired by biological neural networks. The core idea is to construct a computing network with a dynamically changing topology,…
datacite
Zhang, Jincheng
2026
置信度 0.66
-
Official Publication & Source Code Release This repository contains the full academic manuscript, simulation source code, and data visualizations for our research into the Renormalization Group (RG) flow and macroscopic scale invariance of biological wetware. …
datacite
Anikesh0415
2026
置信度 0.66
-
Official Publication & Source Code Release This repository contains the full academic manuscript, simulation source code, and data visualizations for our research into the Renormalization Group (RG) flow and macroscopic scale invariance of biological wetware. …
datacite
Anikesh0415
2026
置信度 0.66
-
This paper proposes a novel approach to information encoding utilizing the inherent information entropy within neuronal activity. The core idea is to quantify and encode this entropy, paving the way for bio-neural network-based quantum information storage and …
datacite
Zhang, Jincheng
2026
置信度 0.66
-
This paper proposes a novel approach to information encoding utilizing the inherent information entropy within neuronal activity. The core idea is to quantify and encode this entropy, paving the way for bio-neural network-based quantum information storage and …
datacite
Zhang, Jincheng
2026
置信度 0.66
-
Official Publication & Source Code Release This repository contains the full academic manuscript, simulation source code, and data visualizations for our research into the topological geometry and chaotic dynamics of biological wetware. The Discovery: Topologi…
datacite
Anikesh0415
2026
置信度 0.66
-
Official Publication & Source Code Release This repository contains the full academic manuscript, simulation source code, and data visualizations for our research into the topological geometry and chaotic dynamics of biological wetware. The Discovery: Topologi…
datacite
Anikesh0415
2026
置信度 0.66
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BIO-ALGORITHMIC CRIME Criminal Jurisprudence in the Age of Biological Computing and Integrated Mind A New Legal Theory of Criminal Responsibility, Evidence, and Punishment at the Intersection of Silicon and Deoxyribonucleic Acid
datacite
elrakhawi, mohamed kamal arafa
2026
置信度 0.66
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BIO-ALGORITHMIC CRIME Criminal Jurisprudence in the Age of Biological Computing and Integrated Mind A New Legal Theory of Criminal Responsibility, Evidence, and Punishment at the Intersection of Silicon and Deoxyribonucleic Acid
datacite
elrakhawi, mohamed kamal arafa
2026
置信度 0.66
-
This paper explores the design and implementation of a neuromorphic computing model operating on non-Von Neumann architectures. The core claim is that leveraging hardware to directly implement sparse data processing and learning through a pulse-based neural ne…
datacite
Zhang, Jincheng
2026
置信度 0.66
-
This paper explores the design and implementation of a neuromorphic computing model operating on non-Von Neumann architectures. The core claim is that leveraging hardware to directly implement sparse data processing and learning through a pulse-based neural ne…
datacite
Zhang, Jincheng
2026
置信度 0.66
-
This paper explores the novel concept of leveraging biological magnetic fields, specifically those generated by the human brain, for quantum bit (qubit) error correction. Traditional qubit error correction methods rely on precisely controlled electromagnetic f…
datacite
Zhang, Jincheng
2026
置信度 0.66
-
This paper explores the novel concept of leveraging biological magnetic fields, specifically those generated by the human brain, for quantum bit (qubit) error correction. Traditional qubit error correction methods rely on precisely controlled electromagnetic f…
datacite
Zhang, Jincheng
2026
置信度 0.66
-
This paper presents a novel approach to neuro形态 computing centered around dynamic topology adaptation. The core claim is that by mimicking the dynamic connectivity and synaptic plasticity observed in biological neural networks, we can achieve real-time, low-po…
datacite
Zhang, Jincheng
2026
置信度 0.66
-
This paper presents a novel approach to neuro形态 computing centered around dynamic topology adaptation. The core claim is that by mimicking the dynamic connectivity and synaptic plasticity observed in biological neural networks, we can achieve real-time, low-po…
datacite
Zhang, Jincheng
2026
置信度 0.66
-
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