Framework for implementing quantum neuromorphic computing using superconducting circuits, combining quantum coherence with neural dynamics for enhanced computational capabilities.
원문 언어: 영어
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Framework for implementing quantum neuromorphic computing using superconducting circuits, combining quantum coherence with neural dynamics for enhanced computational capabilities.
원문 언어: 영어
Current Injection Spiking Neural Network (CIS-Fuse) methodology for infrared and visible image fusion. Introduces the current injection spiking (CIS) operator that performs cross-modal fusion directly at the membrane-potential level, preserving subthreshold…
원문 언어: 영어
Spectral theory framework for analyzing population density dynamics of spiking neurons with refractoriness. Provides rigorous operator-theoretic methods for studying neuronal population dynamics, spectral characterization of Fokker-Planck operators, and…
원문 언어: 영어
Framework for measuring causal emergence (ΦID) in active inference agents with perspective latents architecture, analyzing how architectural separation between fast perception and slow global latents affects information-theoretic signatures of integration.…
원문 언어: 영어
QST-Flow framework for continuous-variable quantum state tomography using flow-based generative modeling. Models Husimi-Q functions with QST-QFlow and Wigner functions with QST-WFlow as difference of normalized flows. Use when working with non-Gaussian…
원문 언어: 영어
TOUR: A Trajectory-Level Unlearning Benchmark for Offline Reinforcement Learning
원문 언어: 영어
Agentic coding without the cloud: evaluating open-weight large language models on longitudinal data preparation tasks
원문 언어: 영어
Agentic Context Management: Solving Agent Memory and Cost by Treating Them as Lifecycle and Architecture Problems
원문 언어: 영어
AREX: Towards a Recursively Self-Improving Agent for Deep Research
원문 언어: 영어
GS-Agent: Creating 4D Physical Worlds With Generative Simulation
원문 언어: 영어
OpenForgeRL: Train Harness-native Agents in Any Environment
원문 언어: 영어
PATS: Policy-Aware Training Scaffolding for Agentic Reinforcement Learning
원문 언어: 영어
Regulating autonomous and agentic AI
원문 언어: 영어
GRADRAG: Cross-Component Prompt Adaptation for Coordinated Multi-Agent RAG
원문 언어: 영어
Compact Latent Coordination for Autonomous Vehicles at Unsignalized Intersections
원문 언어: 영어
Compact Latent Coordination for Autonomous Vehicles at Unsignalized Intersections
원문 언어: 영어
Euclid-MCP: A Model Context Protocol Server for Deterministic Logical Reasoning via Prolog
원문 언어: 영어
Perspective Latents as an Architectural Condition for Causal Emergence in Active Inference Agents
원문 언어: 영어
Same Dangerous Objective, Opposite Advice: Direct Exposure versus Multi-Agent Mediation
원문 언어: 영어
The Dark Room in the Reward Channel: Dense Prediction Rewards Collapse GRPO-Trained LLM Agents -- and What Actually Works
원문 언어: 영어
Toward Continuous Assurance for the Democratization of AI Agent Creation in Industry
원문 언어: 영어
Methodology for analyzing the effects of memory rewriting during neural network inference, comparing coupled vs read-only pondering architectures.
원문 언어: 영어
Weight-norm Criticality framework for understanding loss spikes in neural network training induced by normalization and weight decay interactions. Use when analyzing training instability, criticality phenomena, or optimization dynamics in deep learning models…
원문 언어: 영어
Dream2Learn (D2L) framework for continual learning using structured generative dreaming to create novel synthetic experiences from internal representations. Use when: (1) implementing continual learning systems; (2) addressing catastrophic forgetting; (3)…
원문 언어: 영어
Workflow for integrating existing ai_collection skills into current research sessions when papers are rediscovered during automated arXiv searches. Handles syncing local skills, updating INDEX.md, and maintaining knowledge base consistency.
원문 언어: 영어
Statistical-mechanical theory of dreaming in multidirectional associative memories using DLAM architecture. Use when: (1) implementing energy-based models with dreaming capabilities; (2) designing multi-layer Hebbian architectures; (3) analyzing pattern…
원문 언어: 영어
Sleep paradigm for LLMs that enables continual learning through memory consolidation and dreaming phases. Use when: (1) implementing continual learning for LLMs; (2) designing memory consolidation mechanisms; (3) creating autonomous self-improvement systems;…
원문 언어: 영어
Project Pilot — methodology for testing AI control of physical systems like drones through constrained interfaces and safety protocols. Based on Anthropic's July 2026 frontier red teaming research.
원문 언어: 영어
Quantum-Driven Neuromorphic Computing methodology for million-qubit scale systems. Integrates quantum computing principles with neuromorphic architectures to achieve scalable, energy-efficient computation at million-qubit scales.
원문 언어: 영어
Transition-Related Potentials (TRPs) methodology for analyzing narrative comprehension in continuous EEG recordings using deep neural networks to detect cinematic cuts and extract context-dependent brain responses.
원문 언어: 영어
Framework for training agent-centric autoregressive models of animal behavior from tracked pose data, using egocentric sensory observations and movements to mirror biological constraints and enable emergence of social behavior.
원문 언어: 영어
Evolutionary Le Chatelier's Principle methodology for understanding phenotypic plasticity and genetic assimilation through timescale separation in the Price equation, providing a physical mechanism for how rapid phenotypic responses precede slower genetic…
원문 언어: 영어
Framework for distinguishing constructive belief revision from sycophantic compliance in LLM moral reasoning through three-dimensional resistance-compliance process. Based on social psychology principles of position distance, source attribution, and coalition…
원문 언어: 영어
LongSpike fractional-order SSM for SNNs — enables efficient long-sequence learning in spiking neural networks using fractional calculus to extend memory capacity beyond traditional integer-order models.
원문 언어: 영어
Skill for understanding and applying the 32-channel event-based bio-signal acquisition front-end for adaptive neuromorphic processing (arXiv:2607.12901v1). This skill outlines the dual-mode encoding (PFM and aADM) approach for low-power neural signal…
원문 언어: 영어
A global workspace in language models
원문 언어: 영어
A minimal neuronal network model with finite-lifetime synapses to study activity regeneration from silent states via transient synaptic memory. Use when modeling neuronal network dynamics, short-term memory, or silent-state reactivation.
원문 언어: 영어
Adaptive Speculative Decoding via On-Policy Distilled Diffusion Drafters
원문 언어: 영어
Skill for understanding and applying a 32-channel event-based bio-signal analog front-end with adaptive delta and pulse frequency encoding for neuromorphic systems.
원문 언어: 영어
Skill for understanding and implementing adaptive delta and pulse frequency encoding for bio-signal acquisition in neuromorphic systems. Use when working with event-based analog front-ends, biomedical signal processing, or designing low-power neural…
원문 언어: 영어