hiyenwong/ai_collection - 27페이지

hybrid-quantum-classical-system-design

[TODO: Complete and informative explanation of what the skill does and when to use it. Include WHEN to use this skill - specific scenarios, file types, or tasks that trigger it.]

원문 언어: 영어

hybrid-quantum-classical-systems

Hybrid quantum-classical systems engineering skill for designing distributed quantum computing architectures, quantum error correction, and optimization workflows. Activates when discussing quantum-classical hybrid algorithms, distributed quantum systems,…

원문 언어: 영어

hybrid-quantum-fbpinn

Hybrid quantum-classical FBPINN methodology for wave-based inverse problems. Uses parameterized quantum circuits (PQCs) as differentiable JAX statevector simulators in domain-decomposed physics-informed neural networks. Achieves 8x faster convergence with 33%…

원문 언어: 영어

hybrid-quantum-financial-security

End-to-end hybrid quantum-classical financial security pipeline integrating VQC forecasting, QUBO annealing, and post-quantum cryptographic signing. Unifies prediction and optimization for financial risk systems under real market constraints. Use when: hybrid…

원문 언어: 영어

hybrid-quantum-medical-diagnosis

Design and evaluate hybrid quantum-classical machine learning pipelines for medical image classification and diagnosis. Covers HQNN, HQCNN, CV-QNN architectures, federated learning with tensor-network frontends, and quantum-enhanced feature extraction for…

원문 언어: 영어

hybrid-quantum-medical-imaging

Hybrid quantum-classical neural network methodology for medical image classification, particularly thermographic breast cancer detection. Integrates quantum neural network layers with classical CNN backbones to enhance pattern recognition in complex medical…

원문 언어: 영어

hybrid-tensor-network-qml

Hybrid tensor network architecture for quantum machine learning using post-selection as a trainable hyperparameter. Interpolates between classical and quantum tensor network edge cases by controlling quantum constraint enforcement via post-selection…

원문 언어: 영어

hybrid-tensor-network-time-evolution

Hybrid tensor network time evolution algorithm — parallelizable framework for simulating quantum dynamics using tensor network factorization. Use when simulating quantum many-body dynamics, implementing parallelizable time evolution on tensor networks,…

원문 언어: 영어

hydrogel-neural-interface-coassembly

In situ self-adaptive hydrogel coating for seamless neural interfaces via okra mucilage polysaccharide and α-helical peptide amphiphile co-assembly. Addresses mechanical mismatch and chronic neuroinflammation in neural electrodes. Exogenous filler-free design…

원문 언어: 영어

hyfu-had-quantum-fuzzy

HyFuHAD: Hybrid Quantum-Fuzzy Hyperspectral Anomaly Detection methodology. Combines Einstein fuzzy computing for classical inference with lightweight quantum defuzzifier for final detection. Uses multi-criteria decision framework with morphological,…

원문 언어: 영어

hyperbolic-gcn-brain-network

Hyperbolic Graph Convolutional Network (Brain-HGCN) for brain functional network analysis using Lorentz model and signed aggregation for excitatory/inhibitory connections. Activation triggers: hyperbolic GNN, brain network, fMRI analysis, geometric deep…

원문 언어: 영어

hyperbolic-neural-mapping

HyNeuralMap framework for mapping visual semantics to neural hierarchies using hyperbolic Lorentz geometry. Provides cross-modal semantic alignment in negative-curvature space, outperforming Euclidean baselines for fMRI-visual representation learning. Use…

원문 언어: 영어

hyperbolic-neural-population-geometry-computation

Hyperbolic geometry framework for hippocampal neural population activity. Provides theoretical construction of hyperbolic tuning curves, connects neural decoding to associative memory via Modern Hopfield Network, and introduces hyperbolic-space associative…

원문 언어: 영어

hyperdimensional-stdp-computing

Hyperdimensional computing with STDP equivalence methodology. Path-dependent semantic selection mechanism emerges equivalent to spike-timing-dependent plasticity in Galois-field based HDC. 激活词: hyperdimensional computing, HDC STDP, sparse distributed memory,…

원문 언어: 중국어

hypergraph-functional-brain-network

Extract high-order functional brain network features using hypergraph modeling. Goes beyond pairwise connectivity to capture multi-region interactions.

원문 언어: 영어

hypergraph-markov-memory

Tensor-based framework for higher-order Markov chains with memory on hypergraphs. Use when modeling complex systems with group interactions, memory effects, non-pairwise connections, or analyzing higher-order networks. Keywords: hypergraph, Markov chains,…

원문 언어: 영어

ia-rag-interval-algebra-temporal

Hierarchical temporal RAG using Allen's Interval Algebra for formal temporal constraint reasoning with Interval Event Units (IEUs) organized in Thematic Forest

원문 언어: 영어

iamb-matrix-cli

Matrix CLI operations for iamb including account registration, token retrieval, and Space management.

원문 언어: 중국어

ic-based-encoding-brain

Independent Component (IC)-based encoding models for linking continuous stimulus features to fMRI brain activity. Dissociates stimulus-driven and noise-driven signals using ICA decomposition. Trigger words: IC-based encoding, independent component, fMRI…

원문 언어: 영어

identity-trap-eeg-foundation-models

EEG基础模型的身份陷阱诊断审计框架。FMScope协议用于诊断EEG基础模型是否陷入身份陷阱（subject identity shortcut），提供五项诊断指标分离真实生物标志物与身份特征。

원문 언어: 중국어

iit-critical-review

Critical review framework for Integrated Information Theory (IIT). Provides systematic methodology for evaluating IIT's theoretical foundations, mathematical formalism, empirical predictions, and philosophical implications. Addresses ongoing debates about…

원문 언어: 중국어

implicit-behavioral-decoding-spike-forecasts

Implicit behavioral decoding from next-step spike forecasts at population scale. A single Mamba forecaster trained only on next-step spike counts at Neuropixels scale can deliver both neural population forecasts and behavioral state readouts in one forward…

원문 언어: 영어

impurity-model-quantum-computation

Impurity Hamiltonian analysis for quantum computation universality. Studies time evolution of fermionic systems with O(1) interacting modes and O(N) bath modes. Use when: (1) Analyzing impurity Hamiltonian universality for quantum computing, (2) Studying…

원문 언어: 영어

in-context-brain-decoding

Meta-learning approach for training-free cross-subject brain decoding from fMRI. Enables zero-shot generalization to novel subjects by conditioning on few image-brain activation examples. Use when working with: (1) Cross-subject fMRI decoding, (2)…

원문 언어: 영어

inexact-graph-matching-brain-networks

Inexact Graph Matching for Brain Networks

원문 언어: 중국어

infant-sensorimotor-motion-retargeting

Framework for simulating infant first-person sensorimotor experience via motion retargeting from babies to humanoids. Reconstructs 3D infant pose from video and maps onto developmental robotics platforms (iCub, pyCub, EMFANT, MIMo). Activation: infant…

원문 언어: 영어

infinite-horizon-stochastic-analysis

无限视界随机系统分析方法论。核心思想：使用加权 L^p 空间、resolvent kernel 和测度变换处理无限时间跨度的随机优化问题。适用于长期决策、随机控制、无限视界规划。触发词：无限视界、随机系统、BSVIE、倒向随机 Volterra 积分方程、长期决策、infinite horizon、stochastic control、discounted problem。

원문 언어: 중국어

inhibitory-neuristor-mit

Inhibitory neuristor based on metal-insulator transition. VO2-based inhibitory neuron for balanced neuromorphic computing. Activation: inhibitory neuristor, metal-insulator transition, VO2 neuron, balanced spiking.

원문 언어: 영어

interbrain-networks-geometry

Geometric framework for analyzing inter-brain networks in social neuroscience. Uses discrete geometry and curvature distributions to identify critical transitions in neural connectivity during social interactions, moving beyond correlation-based synchrony…

원문 언어: 영어

internet-agentic-ai-architecture

Internet of Agentic AI (IoAI) architecture patterns for scalable agent ecosystems — communication protocols, semantic interoperability, trust mechanisms, and governance frameworks. Use when: designing multi-agent systems, agent communication protocols,…

원문 언어: 영어

interpretable-eeg-biomarkers-parkinsons

Interpretable EEG biomarkers for Parkinson's disease detection using interpretable electrophysiological features of resting-state EEG. Captures cortical neural dynamics alterations for reliable non-invasive diagnosis and monitoring. Activation: EEG biomarker…

원문 언어: 영어

intrinsic-neuro-synaptic-memristive

Memristive networks intrinsic neuro-synaptic spiking dynamics methodology. Self-organizing circuits generating neuronal population dynamics similar to biological systems with nonlinear resonance phenomena. Trigger words: memristive, neuro-synaptic, spiking…

원문 언어: 영어

intrinsically-stable-snn-bn-free

Intrinsically Stable SNN (IS-SNN) architecture for deep spiking neural networks without batch normalization. Removes activation-normalization layers via topology-aware weight standardization and offline reparameterization, restoring accumulation-only…

원문 언어: 영어

iot-cps-workflow-scheduling

Multi-objective and multi-constrained IoT workflow scheduling in Edge-Hub-Cloud Cyber-Physical Systems using continuous-time mixed integer linear programming. Optimizes latency, energy, and reliability with selective task duplication. Activation: IoT…

원문 언어: 영어

iphoneme-brain-to-text-als-conformerxl

iPhoneme brain-to-text communication system for ALS using ConformerXL phoneme decoder with gaze-assisted interface. Achieves 92.14% phoneme accuracy (7.86% PER) and 73.39% word accuracy on T15 intracranial EEG dataset. 180ms latency on CPU. Activation:…

원문 언어: 영어

isi-cv-gradient-free-continual-learning-snn

ISI-CV: Inter-areal predictive coding for gradient-free continual learning in SNNs. Activation: gradient-free learning, continual learning, predictive coding.

원문 언어: 영어

iterative-ising-qec-decoder

Iterative Low-Order Decoding (ILOD) methodology for quantum error correction — mapping QEC decoding onto ground-state optimization of classical Ising Hamiltonians with Bayesian prior-based cross-term approximation. Use when: implementing QEC decoders,…

원문 언어: 영어

itp-stdp-snn-training

ITP-STDP (Intrinsic-Timing Power-of-Two STDP) 方法论用于片上脉冲神经网络训练。通过算法和硬件级优化消除STDP计算开销，实现能耗效率和硬件资源利用的显著提升。

원문 언어: 다국어 혼합

jaynes-cummings-oscillator-control

Universal Jaynes-Cummings (JC) based oscillator control methodology for bosonic quantum processors. Compiles arbitrary unitary gates into JC interaction sequences and qubit rotations for universal qudit control.

원문 언어: 영어

jedi-neural-dynamics-inference

JEDI: Jointly Embedded Inference of Neural Dynamics - learning shared embeddings of RNN weights to infer neural population dynamics across tasks and contexts. Triggers: neural dynamics inference, RNN embedding, meta-learning, neural population, cross-task…

원문 언어: 영어