hiyenwong/ai_collection - 34ページ

neuromorphic-supremacy

Neuromorphic Supremacy methodology — hybrid astrocytic-spiking neural architectures that outperform classical deep learning in noisy, data-scarce environments

原文の言語: 英語

neuron-dropin-neuroplasticity

Neuron-level DropIn and neuroplasticity mechanisms for enhancing deep learning efficiency and performance. Addresses the bottleneck of parameter scaling by enabling targeted neuron replacement and adaptive plasticity.

原文の言語: 英語

neuron-model-reconstruction

从锋电位时间序列快速重构电导神经元模型。 结合深度学习和动态输入电导（DIC）框架，解决神经元简并性问题。 触发词：神经元模型、电导模型、锋电位、模型重构、DIC、 conductance-based model, spike times, neuron reconstruction, degeneracy。

原文の言語: 複数言語

neuron-photonic-spiking-laser

Photonic spiking neurons using multi-junction VCSELs (NeuronSEL) with negative differential resistance. Neuromorphic photonics for ultra-fast optical information processing. Triggers: photonic neuron, VCSEL, neuromorphic photonics, spiking laser, optical…

原文の言語: 英語

neuron-surface-emitting-laser-neuronsel-spiking

Methodology from paper 'Neuron Surface Emitting Laser (NeuronSEL): Spiking Regimes and Negative Differential Resistance in S...' by Maria Duque-Gijon et al. (2026-04-14). Activation: brain, neural, spiking, neuron, network, physics.optics

原文の言語: 英語

neuronal-arithmetic-ots

Neuronal arithmetic operators using Ovonic Threshold Switches (OTS) for biologically inspired analog computing. Implements additive integration and divisive gain modulation through synaptic conductance changes and shunting inhibition. Trigger words: Ovonic…

原文の言語: 英語

neuronal-murburn-thermodynamic-electricity

Murburn thermodynamic framework for neuronal electrical activity - unified reaction-transport-relaxation model explaining resting potential, excitability, and signal propagation. Activation triggers: murburn, neuronal electricity, electron holding potential,…

原文の言語: 英語

neuropinns-spiking-pinn

NeuroPINNs methodology — neuroscience-inspired Physics-Informed Neural Networks using Variable Spiking Neurons for energy-efficient PDE solving

原文の言語: 複数言語

neuroplastic-plasticity-optimizer

NeuroPlastic - A plasticity-modulated optimizer for biologically inspired learning dynamics. Incorporates synaptic plasticity mechanisms like Hebbian learning, homeostatic plasticity, and metaplasticity into gradient-based optimization for enhanced learning…

原文の言語: 英語

neuroring-multi-fpga-snn

NeuroRing modular and scalable SNN accelerator based on multi-FPGA bidirectional ring topology and stream-dataflow architecture. Use when scaling Spiking Neural Networks (SNN) across multiple FPGAs; implementing event-driven neuromorphic hardware; designing…

原文の言語: 英語

neuroring-multifpga-snn

NeuroRing methodology for modular and scalable SNN accelerator based on multi-FPGA bidirectional ring topology and stream-dataflow architecture

原文の言語: 英語

neuroscience-frontiers-2026

Comprehensive synthesis of cutting-edge neuroscience and NeuroAI research from 2025-2026. Covers NSF NeuroAI workshop findings, CogniSNN random graph architectures, EMBER hybrid cognitive systems, SpikingBrain2.0 foundation models, and Next Generation Neural…

原文の言語: 英語

neuroscience-graph-operators-virtual-sensing

Neuroscience-inspired graph neural operators for edge-deployable virtual sensing on irregular geometries. Enables sparse-to-dense reconstruction and real-time full-field physics prediction with latency and energy constraints.

原文の言語: 英語

nl-cps-kubernetes-control

Reinforcement Learning-Based Kubernetes Control Plane Placement in Multi-Region Clusters

原文の言語: 英語

nn-quantum-state-encoding

Neural network encoding methodology for quantum state preparation: trains classical neural network to map input data directly to quantum circuit parameters, avoiding per-instance variational optimization. Achieves 0.992 fidelity on unseen data with 5000x…

原文の言語: 英語

noise-directed-adaptive-remapping

Noise-directed adaptive remapping methodology for integer optimization — encoding qubit-based problems into qudit representations with noise-aware adaptation. Use when optimizing quantum integer optimization on NISQ hardware, converting qubit encodings to…

原文の言語: 英語

noise-enhanced-quantum-kernels

Noise-enhanced quantum kernel methods for analog quantum computing. Implements analog and hybrid quantum kernels with noise-induced performance improvements for quantum machine learning. Activation: noise quantum kernel, analog quantum kernel, quantum kernel…

原文の言語: 英語

non-unitary-qml-fisher-efficiency

Non-unitary quantum machine learning via Linear Combination of Unitaries (LCU) framework, with Fisher efficiency transitions and threshold-dependent parameter scaling in medical imaging tasks. Use when: implementing non-unitary quantum layers, benchmarking…

原文の言語: 英語

nonlinear-mas-optimal-control

Nonlinear Multi-Agent Systems Optimal Control - 非线性多智能体系统分布式最优控制。核心技术：HJB方程分布式近似、私有信息结构、保密协作控制。激活词：MAS optimal control, multi-agent control, 非线性最优控制, HJB distributed.

原文の言語: 中国語

nuclear-lattice-vqe

Variational Quantum Eigensolver (VQE) framework for nuclear lattice effective field theory. Computes ground state energies of light nuclei (2H, 3H, 4He) using Gray code encoding with symmetry reduction for compact qubit representation. Keywords: nuclear…

原文の言語: 英語

off-switch-dual-use-gram

Gradient-Routed Auxiliary Modules (GRAM) methodology from Anthropic/AE Studio research (Jul 8, 2026) — training a single LLM with removable, category-specific knowledge compartments that can be toggled on/off post-training without retraining, enabling…

原文の言語: 英語

omni-sleep-foundation

Omni-Sleep sleep foundation model methodology using CNS/ANS hierarchical contrastive learning for topology-constrained multimodal PSG representation learning. Use when working with sleep staging, affective BCI, polysomnography analysis, CNS-ANS dynamics,…

原文の言語: 英語

one-shot-quantum-signatures

Quantum algorithm for one-shot signatures using affine coset superposition and puncturable PRFs. Provides circuit-level implementation for delegated signatures, secured token transfer, and publicly verifiable randomness. Use when implementing quantum…

原文の言語: 英語

opencode

Open source AI coding agent with multi-agent orchestration and ultrawork mode. Use when user mentions opencode, open code, oh-my-opencode, ultrawork, ulw, or needs an AI coding agent with background tasks and LSP integration.

原文の言語: 英語

openspec

Specification-driven development framework using Gherkin syntax. Use when user mentions openspec, open spec, spec-driven, gherkin, BDD, given-when-then, or needs to define requirements in structured human-readable format.

原文の言語: 英語

optimal-ansatz-free-hamiltonian-learning

Optimal ansatz-free Hamiltonian learning methodology — control-free, ancilla-free algorithm using randomized-sampling framework with band-limited kernel-based time sampling and displacement sieve for Hamiltonian structure learning. Use for quantum device…

原文の言語: 英語

organic-magnetic-field-free-quantum

Magnetic-field-free quantum computing and quantum reservoir computing framework using engineered organic materials based on the 3-Layer Quantum Brain Hypothesis. Covers SVILC qubits, CQEC error correction, and four implementation paths. Use when: organic…

原文の言語: 英語

hybrid-quantum-classical-reservoirs

Hybrid quantum-classical reservoir computing (HRC) combining qubit quantum reservoir with classical echo state network for nonlinear functional approximation and temporal processing of quantum states. Outperforms standalone components in both linear and…

原文の言語: 英語

non-markovian-kerr-feedback-qrc

Proves unbounded computational superiority of Kerr nonlinear feedback over Gaussian linear reservoirs in continuous-variable quantum reservoir computing. Single Kerr mode with feedback depth D replaces up to ~100 linear modes. Use when: CV-QRC design,…

原文の言語: 英語

dynamic-neural-manifolds-snn-control

Dynamic neural manifolds methodology for flexible closed-loop control on neuromorphic hardware — using circuit mechanisms (heterogeneous inhibition, gain modulation, transient currents) as control knobs for manifold geometry, enabling explainable,…

原文の言語: 英語

adaptive-spiking-neuron-multimodal

Adaptive Spiking Neuron (ASN) methodology for energy-efficient vision and language modeling. Features trainable membrane potential dynamics, adaptive firing thresholds, integer training with spike inference paradigm, and variance-invariance loss for…

原文の言語: 英語

agentic-fusion-materials

Agentic AI framework for materials discovery that synergizes Large Atomic Models (LAMs) with Large Language Models (LLMs). Use for designing autonomous materials discovery pipelines, integrating atomic-scale numerical computation with semantic reasoning, and…

原文の言語: 英語

agentic-portfolio-management

Agentic AI framework for portfolio management using multi-agent collaboration, competitive method evaluation, and meta-learning. Implements the architecture from 'The Self Driving Portfolio' paper (arxiv 2604.02279). Use when: (1) Building automated…

原文の言語: 英語

ai-sycophancy-measurement

Methodology for measuring, analyzing, and mitigating AI sycophancy in guidance-giving contexts. Covers automated classification, stress-testing with prefilling, synthetic data generation, and domain-specific analysis.

原文の言語: 英語

analog-quantum-event-gnn

Analog quantum AEGNN methodology — implementing event-based graph neural networks on neutral-atom quantum processors using Rydberg Hamiltonians for message passing.

原文の言語: 英語

arxiv-search

arXiv paper search skill - search academic papers by keywords, authors, categories. Supports time filtering, category filtering, and paper detail retrieval. Activation: arxiv search, paper search, 论文搜索, search papers, arxiv 论文.

原文の言語: 英語

behavior-vlm-neuroscience

Finetuning-free behavioral understanding framework for neuroscience using vision-language models. Enables pose estimation and behavioral analysis linking neural activity to natural actions without human annotation. Use when: analyzing animal behavior from…

原文の言語: 英語

boosting-brain-to-image-tribe-v2

TRIBE v2 data augmentation methodology for brain-to-image decoding. Uses pretrained encoding model on 1000+ hours of video/audio/language fMRI to generate synthetic data, achieving 68% improvement in Top-10 retrieval accuracy. Supports zero-shot decoding when…

原文の言語: 英語

brain-cliplm-semantic-compression-eeg

Brain-CLIPLM semantic compression framework for EEG-to-text decoding. Two-stage methodology: semantic anchor recovery via contrastive learning + anchor-guided sentence reconstruction with retrieval-grounded LLM. Key principle: granularity matching - aligns…

原文の言語: 英語

brain-connectivity-analysis

Brain network connectivity analysis using knowledge graph tools. Analyze brain connectivity patterns, neural networks, and graph-based brain models. Use when working with brain graphs, connectivity matrices, neural network analysis, or integrating…

原文の言語: 英語