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SkillsMP는 hiyenwong/ai_collection에서 4,114개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
hiyenwong/ai_collection수집된 skill 4,114개 중 40개를 표시합니다.
Brain-inspired Neural Cellular Automata for morphogenesis and motor control. Extends traditional NCA with brain-like topologies and long-range connections beyond Moore neighborhood. Use for: (1) Morphogenesis simulation and pattern formation, (2) Motor…
원문 언어: 영어
BrainDyn: A Sheaf Neural ODE framework for modeling continuous-time neural dynamics on structured brain graphs. Combines cellular sheaf theory (learnable restriction maps, sheaf Laplacian) with neural ODEs for generative brain dynamics. Supports multi-modal…
원문 언어: 영어
BrainWorld - Structural-Prior-Conditioned Generative Model for whole-brain 4D fMRI dynamics. Uses sMRI as subject-level anatomical context to guide future fMRI generation, integrating structural information into the denoising process. Activation: fMRI…
원문 언어: 영어
Comprehensive open-source toolkit unifying CANN research workflow with BrainPy/JAX, Rust acceleration, and topological analysis. Use when working with continuous attractor neural networks for spatial coding, head direction, grid cells, or any continuous…
원문 언어: 영어
Braiding structures on categorical multi-interval Jones-Wassermann subfactor planar algebras from unitary modular fusion categories. Constructs braidings inducing projective unitary representations of balanced superelliptic mapping class groups, encoding…
원문 언어: 영어
Hybrid quantum-classical machine learning using neutral-atom (cold-atom) reservoir computing for classification tasks, especially medical imaging. Covers the pipeline of guided auto-encoder dimensionality reduction, surrogate-driven training, and cold-atom…
원문 언어: 영어
Unified control framework for synchronization in coupled oscillator networks using complex-valued Kuramoto extensions. Use when designing synchronization controllers, phase-locking mechanisms, oscillator network control, or when real-valued Kuramoto model…
원문 언어: 영어
Compositional quantum heuristics for mitigating barren plateaus in quantum machine learning. Assembles larger quantum models from smaller subcomponents with group-invariant loss functions introducing symmetry-induced inductive bias for improved gradient…
원문 언어: 영어
ConvexTok methodology — formulating tokenizer construction as a convex optimization (linear program) instead of greedy BPE/Unigram. Use when: (1) Designing tokenizers for new languages or domains, (2) Improving bits-per-byte (BpB) efficiency of LLM…
원문 언어: 영어
Autonomous multi-agent open-ended discovery workflow inspired by the CORAL paper. Use when the task requires sustained search, iterative improvement, multi-agent exploration, shared knowledge accumulation, asynchronous parallel attempts, periodic reflection,…
원문 언어: 영어
Correlation Sliced-Wasserstein (CorSW) framework for EEG decoding with domain generalization. Use when: (1) EEG cross-subject/cross-session decoding with distribution shifts, (2) Scale-invariant correlation matrix representations for BCI, (3) Pullback…
원문 언어: 영어
Data center AI workload power profiling and infrastructure planning. Methods for measuring generative AI workload power consumption at high resolution, scaling to whole-facility energy demand, and planning infrastructure for grid connection, microgrids, and…
원문 언어: 영어
DendriCL methodology for dendritic in-context learning in single-layer spiking neural networks. The apical compartment's subthreshold dynamics implement online Widrow-Hoff LMS, enabling general-purpose ICL without attention, depth, or inference-time…
원문 언어: 영어
Density-Driven Optimal Control (D²OC) for multi-agent systems. Analytical framework for decentralized non-uniform area coverage with convergence guarantees for stochastic LTI systems. Use when: (1) Designing density-based multi-agent control systems, (2)…
원문 언어: 영어
Feasibility-preserving mixed Dicke state ansatz for encoding equality and inequality constraints in variational quantum eigensolvers. Eliminates penalty terms by structurally encoding Hamming weight constraints into quantum circuits. Use when: (1) solving…
원문 언어: 영어
Feasibility-preserving mixed Dicke state ansatz for Hamming weight constrained combinatorial optimization via variational quantum eigensolver (VQE). Eliminates penalty terms by structurally encoding equality and inequality constraints. Use when: building…
원문 언어: 영어
Digital quantum reservoir computing (QRC) framework for time series forecasting on near-term quantum devices. Uses parametrized four-qubit reservoirs with partial measurement and reset, encoding temporal data in rotation angles. Training restricted to…
원문 언어: 영어
Robustness analysis for MPC and infinite-horizon optimal control under plant-model mismatch with quadratic costs. Covers discounted and undiscounted scenarios, stability guarantees, and suboptimality bounds. Use when: (1) MPC robustness analysis, (2)…
원문 언어: 영어
离散信号介导混沌正则化方法论。连接循环网络的微观混沌与神经表征的宏观几何，解释混沌网络如何维持平滑可微的群体编码。使用核方法+动态平均场理论，展示混沌诱导局部粗糙性但保持全局平滑性，产生幂律谱特征。适用于混沌SNN稳定性分析、神经表征几何、皮质记录谱分析。触发词：混沌网络、chaotic dynamics、neural representation、regularization、kernel method、mean-field theory、power-law spectrum
원문 언어: 중국어
Compiler techniques for scheduling and optimizing distributed quantum computers (DQCs). Covers teleportation-aware scheduling, utility-driven lookahead scheduling, EPR-capacity-aware early scheduling, frequency allocation and transpilation co-design, and code…
원문 언어: 영어
QESTO distributed variational quantum optimization methodology using entanglement-selective transport for graph-based discrete optimization. Requires only persistent pre-shared Bell pairs for remote operations, no non-local gates after initialization. Use…
원문 언어: 영어
Design and analyze distributionally robust control systems under uncertainty with incomplete distribution information. Covers Sinkhorn ambiguity sets, convexity analysis, weak compactness, tractability guarantees, and MPC approaches. Use when designing…
원문 언어: 영어
Docker container management skill. Build, run, manage containers, images, networks, and volumes. Use for containerization, Docker Compose, multi-container apps, and DevOps tasks.
원문 언어: 영어
Nonlinear Model Predictive Control with dual-envelope constraints for distributed drive systems. Use when: vehicle dynamics control, MPC implementation, envelope-based stability analysis, autonomous drifting, distributed drive electric vehicles, phase plane…
원문 언어: 영어
Dual-envelope constrained nonlinear MPC for autonomous vehicle drifting control. Methods for constructing stability envelopes in phase plane, model predictive control with envelope constraints, and handling bounded steering/yaw-moment control for distributed…
원문 언어: 영어
Electronic bursting neuron hardware design using phase-locked loop (PLL) equations. Novel hybrid approach: start from phenomenological equations, adjust for circuit simplicity, then implement. Enables small neural circuit modeling with well-defined…
원문 언어: 영어
Federated Quantum Neural Network methodology for privacy-preserving medical image diagnosis. Combines federated learning with quantum neural networks for distributed medical imaging analysis without sharing raw patient data. Use when: federated quantum…
원문 언어: 영어
Fermi-Dirac quantization methodology for neural networks — reinterprets classical neurons as parameterized Hamiltonians and replaces variables with quantum operators. BQP-complete for certain decision problems. Use when: designing quantum neural…
원문 언어: 영어
Finite-shot moment estimation methodology for quantum metrology — bias-corrected estimators, calibration curve analysis, and sensitivity corrections for quantum parameter estimation beyond the Cramer-Rao bound. Use when working with quantum metrology,…
원문 언어: 영어
Finite-time reachability control for constrained nonlinear systems with partial loss of control authority. Addresses driving system to target state in finite time despite partial actuator failures. Use when designing fault-tolerant control, handling actuator…
원문 언어: 영어
Federated Quantum Neural Network (FQN) methodology for privacy-preserving medical diagnosis. Combines federated learning with quantum neural networks for distributed healthcare data analysis without centralizing patient data. Use when: building…
원문 언어: 영어
FTPrimitiveBench methodology for fault-tolerant quantum computing benchmarking. Provides systematic approach for evaluating QEC protocols under hardware-motivated noise models including Pauli bias, measurement bias, and spatio-temporal non-uniformity. Use…
원문 언어: 영어
Functional Whole-Brain Models (FWBM) methodology bridging bottom-up whole-brain modeling and top-down neuroconnectionism. Combines biophysically detailed simulations with functional-performance-driven deep neural networks. Use when: designing brain-scale…
원문 언어: 영어
Generalized Error Mitigation (GEM) framework for quantum computing - zero-noise extrapolation-free error mitigation using measurement statistics. Reduces effective circuit depth by learning noise-free output distribution from noisy measurements. Use when:…
원문 언어: 영어
Geometric phase transition methodology for hippocampal memory — extreme spatial memory emerges from a discrete stiffening of hippocampal population geometry from disorganized (mist) to crystalline code. Use when researching: hippocampal memory capacity,…
원문 언어: 영어
Geometric Stability of Neural Population Codes methodology - Shesha metric quantifying pairwise distance structure reproducibility across split-half RDMs, dissociable from temporal stability and decoding accuracy. Use when analyzing representational…
원문 언어: 영어
GKSL (Gorini-Kossakowski-Sudarshan-Lindblad) master equation methodology for quantum-like models of cognition and decision making. Models mental state evolution as dissipative process influenced by informational environment. Includes cognitive beats analysis,…
원문 언어: 영어
Hamming quantum kernel for SVMs that avoids exponential concentration problem of fidelity quantum kernel. Uses full measurement statistics rather than single fidelity value. Outperforms fidelity kernel at 15+ qubits and classical Gaussian kernel on synthetic…
원문 언어: 영어
Hardware-aware quantum compilation with data-driven lightweight error detection for early fault-tolerant NISQ systems. Use when: (1) optimizing qubit mapping and SWAP insertion for NISQ devices, (2) integrating error detection into compilation pipelines, (3)…
원문 언어: 영어
Design and optimization of hybrid quantum-classical computing system architectures. Includes dataflow frameworks, fault-tolerant design, resource efficiency optimization, automated architecture search, and quantum ML application patterns. Use when: (1)…
원문 언어: 영어