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SkillsMP has collected 4,114 skills from hiyenwong/ai_collection. Open a skill to review its source and details.
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Quantum Reservoir Computing (QRC) methodology for financial time-series forecasting using small-scale quantum systems. Use when: building quantum-enhanced stock prediction models, applying reservoir computing to finance, designing near-term quantum ML for…
Quantum Reservoir Computing (QRC) methodology for financial time series forecasting. Exploits quantum dynamics for temporal pattern recognition, achieving prediction accuracy improvements while maintaining quantum coherence. Activation: quantum reservoir…
Improve quantum sensor network reliability through RL-optimized dynamical decoupling (DD) pulse sequences. Use when mitigating environmental decoherence in quantum sensors, optimizing DD pulse sequences, designing hybrid quantum-classical sensing pipelines,…
Quantum-Spiking Neural Network Fusion methodology — integrating quantum computing with neuromorphic spiking architectures for hybrid intelligent systems with quantum-enhanced temporal processing.
Unified quantum synchronization framework combining Fock state synchronization (phase-locking non-classical states with negative Wigner function, Arnold tongue regime, phase slip rate extraction) and limit cycle desynchronization (quantum phase slip…
Quantum vector Hopfield network methodology where quantum fluctuations stabilize stored patterns via quantum order-by-disorder mechanism. Patterns formed by quantum vector spin orientations. Both critical retrieval temperature and pattern overlap enhanced vs…
Quasilinear Equivalence Checking for Detector Error Models (arXiv: 2606.14677v1). A Detector Error Model (DEM) is a structured representation of error mechanisms ...
Pipeline analysis tool for decomposing quantum computation fidelity contributions by decision layer. Use when analyzing how different compilation decisions (qubit selection, gate scheduling, pulse shaping, error detection) contribute to final circuit output…
Von Neumann entropy estimation in multi-qutrit systems using VQA and classical CNN approaches. CNN achieves accurate estimation using only 12.5% of full tomography measurements. Use when estimating quantum state entropy, benchmarking VQA ansatzes, or applying…
Random Riemann Zeta Function integral means spectrum methodology — connects random vertical shifts of zeta-function to Kraetzer's universal integral means spectrum conjecture via Gaussian multiplicative chaos (GMC). Use for: analytic number theory, random…
RATS methodology for analyzing emergent part-based representations in Register Attention Transformers. Reveals how attention patches develop specialized, reusable structural components through register-based communication. Use when: mechanistic…
REALM methodology for LFP-based behavior decoding using retrospective distillation. Use when: building causal LFP decoding models, offline-to-online distillation for neural signals, Mamba-based neural sequence modeling, BCI decoding without spike signals,…
基于视网膜间隙连接灵感的EEG-BCI系统对抗防御方法。使用脉冲神经网络实现生物噪声注入，提升脑机接口系统对对抗攻击的鲁棒性。适用于BCI安全、对抗防御、EEG分类、脉冲神经网络。触发词：retina gap junction, adversarial defense, BCI security, EEG robustness, 间隙连接防御, 对抗鲁棒性
Source text: Chinese
Linear contrastive decoders outperform complex nonlinear models for fMRI-based brain decoding. Key insight: fMRI averaging linearizes representations, so training objective (contrastive alignment) matters more than architectural complexity. Validated across…
Bures-Wasserstein metric-based Riemannian self-attention network for robust EEG decoding in BCI. Overcomes AIM quadratic dependency and ill-conditioning issues. Activation: riemannian self attention EEG, Bures-Wasserstein EEG decoding, GBWAtt, SPD learning…
Latent reasoning method that replaces autoregressive generation with memory blocks - working memory capacity for compute-efficient reasoning
Paper analysis: Identifying structural design principles shaping computational abilities of recurrent neural networks. Demonstrates that local 2- and 3-cycles in connectivity strongly enhance computational ability of RNNs, and that adding sparse…
Rogue Variable Theory (RVT) for quantum-compatible cognition modeling. Formalizes pre-event cognitive states as structured Rogue Variables embedded in graph Hilbert space via Mirrored Personal Graph (MPG). Includes Rosetta Stone Layer for cross-user latent…
使用稀疏自编码器(SAE)特征解释脑语言响应的编码框架。引入Augmented Sparse Encoding Models，结合LM稀疏特征和surprisal预测，实现可解释的脑信号解码
Source text: Chinese
Safety-critical contextual control via online Riemannian optimization with world models — Penalized Predictive Control (PPC) framework for provably safe control using black-box simulators and score-based density estimation.
Sandbox-Enabled Digital Twin for Cyber-Physical Systems (CPS) - closed-loop validation framework that captures controller side-channels with simulated plant feedback
Scaling-optimal purification of noisy qubit unitary channels — methodology for constructing superchannels that purify noisy quantum operations back to original unitaries. Sequential strategies outperform parallel for finite uses; asymptotic optimal scaling…
Score Broadcast and Decorrelation (SBD)方法论 - 广播式信用分配的通用框架，为三因子学习规则提供理论基础。Error broadcast作为backpropagation的生物合理替代方案，适用于不同iable losses。Activation: SBD, score broadcast, credit assignment, three-factor learning, error broadcast, 生物可塑性.
Secretary problem optimal stopping thresholds are exactly the convergents of 1/e via continued fractions. If p/q is a continued fraction convergent of 1/e with q at least 3, then for q applicants the optimal number to initially reject is p. Connects optimal…
Seizure Suppression via Brain Network Hub Stimulation
Source text: Chinese
Passive self-correcting quantum memory in 3D — constructs a 3D Pauli stabilizer Hamiltonian encoding a qubit for exponential time at non-zero temperature via recursive transformations. Based on arXiv:2605.04951. Use when designing fault-tolerant quantum…
SABER framework for semantic-aligned brain network analysis via multi-scale hypergraphs. Actively integrates LLM-derived semantics into brain network prediction, combining global self-attention, multi-scale hypergraph construction, and decision-level semantic…
Semi-device-independent certification methodology for nonlocality without entanglement (NLWE) using maximum-confidence discrimination. Proves global measurements outperform separable ones for ensembles of separable states, establishing NLWE through…
Semi-device-independent certification methodology for nonlocality without entanglement (NLWE) using maximum-confidence discrimination of separable state ensembles.
Sensing Intelligence as a Trainable Metamaterial Property methodology. Optimize metamaterial body geometry via differentiable simulation to preprocess external stimuli, improving neural network sensing accuracy by up to 5x or reducing required sensors by 10x.…
Neuroscience-inspired framework for low-cost sensorless gaze following in Human-Robot Interaction. Uses computational models of human gaze perception to estimate where humans are looking without expensive eye-tracking hardware. Trigger words: sensorless gaze,…
Neuroscience framework for sensorless gaze-following in Human-Robot Interaction (HRI). Uses brain-inspired prediction mechanisms to estimate gaze targets without eye-tracking hardware.
Neuroscience-inspired sensorless gaze-following framework for human-robot interaction. Uses perceptual illusions and brain's convexity assumptions to create gaze-following robots without cameras or sensors. Activation: sensorless gaze, perceptual gaze,…
Stochastic module-based methodology for robust probabilistic measurement of structural-functional module consistency (SFMC) in brain networks. Accounts for inter-individual variability and reveals stronger developmental reorganization than conventional…
PSI (Persistent Shared Interface): A shared-state architecture for coherent AI-generated instruments in personal AI agents. Addresses the problem of isolated AI tools by introducing a personal-context bus for cross-module reasoning and synchronized actions.…
Sheaf-theoretic framework for multi-view consistency in model-based systems engineering (MBSE). Uses presheaves on architectural sites to certify global design consistency via pairwise interface checks. Provides a formal mathematical criterion for when local…
Unify signal transforms (DFT, DCT, wavelet, KLT, etc.) under representation-theoretic principles via the Algebraic Diversity framework. Covers matched group discovery, Peter-Weyl theorem applications, covariance-invariant transforms, and applications to MIMO,…
Sleep-inspired homeostatic regularization for stabilizing spike-timing-dependent plasticity (STDP) in spiking neural networks. Uses sleep-like phases with modified dynamics to consolidate learning, prevent weight runaway, and improve generalization.…
Open-source 3D Slicer extension for robot-assisted transcranial magnetic stimulation (Robo-TMS). Enables accurate, reproducible non-invasive brain stimulation with image-guided robotic intervention. Activation: robot TMS, Robo-TMS, Slicer extension, TMS…
Systematic bifurcation analysis framework for discovering delay-induced slow rhythms in neural oscillator networks. Phase reduction + numerical continuation reveals Hopf/heteroclinic/saddle-node bifurcations organizing slow-fast dynamics. Applicable to FHN,…