⚡ AI-Lesson Articles

Scalable and Explainable Learner-Video Interaction Prediction using Multimodal Large Language Models

Memory Intelligence Agent

SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems

Receding-Horizon Control via Drifting Models

Greedy and Transformer-Based Multi-Port Selection for Slow Fluid Antenna Multiple Access

Same World, Differently Given: History-Dependent Perceptual Reorganization in Artificial Agents

Search, Do not Guess: Teaching Small Language Models to Be Effective Search Agents

Springdrift: An Auditable Persistent Runtime for LLM Agents with Case-Based Memory, Normative Safety, and Ambient Self-Perception

AI Assistance Reduces Persistence and Hurts Independent Performance

AI Trust OS -- A Continuous Governance Framework for Autonomous AI Observability and Zero-Trust Compliance in Enterprise Environments

ANX: Protocol-First Design for AI Agent Interaction with a Supporting 3EX Decoupled Architecture

MemMachine: A Ground-Truth-Preserving Memory System for Personalized AI Agents

Incompleteness of AI Safety Verification via Kolmogorov Complexity

Learning, Potential, and Retention: An Approach for Evaluating Adaptive AI-Enabled Medical Devices

QED-Nano: Teaching a Tiny Model to Prove Hard Theorems

LLMs-Healthcare : Current Applications and Challenges of Large Language Models in various Medical Specialties

From Concept to Practice: an Automated LLM-aided UVM Machine for RTL Verification

Toward a Universal Color Naming System: A Clustering-Based Approach using Multisource Data

The Persuasion Paradox: When LLM Explanations Fail to Improve Human-AI Team Performance

Scaling DPPs for RAG: Density Meets Diversity

FVRuleLearner: Operator-Level Reasoning Tree (OP-Tree)-Based Rules Learning for Formal Verification

Personalized AI Practice Replicates Learning Rate Regularity at Scale

Classifying Problem and Solution Framing in Congressional Social Media

BLK-Assist: A Methodological Framework for Artist-Led Co-Creation with Generative AI Models