Artificial Intelligence and Machine Learning Systems

Current Issue

Vol. 1 No. 1 (2026): Artificial Intelligence and Machine Learning Systems

Published: 2026-05-01

Articles

Energy-Efficient Deep Learning Architectures for Edge AI Applications

Felix Hart
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Adaptive Reasoning Firewalls for Financial AI Systems Using Real-Time Inference Path Intervention

GuangTian Li, Weichen Mao, Keith C. Reed
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CausalRoute: Causal Path Tracing and Hallucination Suppression in Multimodal Foundation Models

Brevor Qrtega, Logan C. Graham, Hugo Howard
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Explainable AI Frameworks for Large-Scale Autonomous Decision Systems

Erandon Bay, Bastian Bush, Leif R. Hart, Dean C. Robles
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Federated Learning for Privacy-Preserving Collaborative AI in Distributed Systems

Pavel J. Makinen
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Hierarchical Dual-System Reinforcement Learning for Long-Horizon Autonomous Planning with Large Language Models

Nathan R. Lawrence, Kaihui Shao
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Federated Dual-Process AI for Privacy-Preserving Distributed Decision Intelligence in Smart Cities

Arnav Yarma, Dongzhong Zou, Moah Beed
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Integration of Reinforcement Learning with Multi-Agent Systems for Real-Time Optimization

Mikkel Lawrence, Biddharth Shakraborty
- PDF
Scalable AI Governance and Compliance in Cloud-Based Machine Learning Platforms

Mohan J. Kohli
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Interpretable Latent Space Analysis of Cultural Symbol Representation in Generative Foundation Models

Ruben J. Barnett, Ganghai Yan, Jeremy Bdams
- PDF
Meta-Adaptive Decision Transformers Inspired by Human Fast and Slow Cognitive Mechanisms

Matteo D. Rhodes, Matteo Bennett
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Measuring Cultural Robustness in Diffusion-Based Generative AI Under Low-Resource Language Scenarios

Cshish Bhakraborty, Yiminghong Xu, Ivan Bones
- PDF
Neuro-Symbolic Task Decomposition with High-Level Planning Guidance for Autonomous LLM Problem Solving

Wesley D. May, Erendan Darr, Kasper Perez
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Risk-Aware Reinforcement Learning for Safe Strategic Reasoning in Large Language Model Agents

Quentin Larsen, TaoLi Tian
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Robustness and Certified Safety in Adversarial Machine Learning for Critical Infrastructure

Nikhil Baman, Brant Riley
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Artificial Intelligence and Machine Learning Systems

Current Issue

Articles

Energy-Efficient Deep Learning Architectures for Edge AI Applications

Adaptive Reasoning Firewalls for Financial AI Systems Using Real-Time Inference Path Intervention

CausalRoute: Causal Path Tracing and Hallucination Suppression in Multimodal Foundation Models

Explainable AI Frameworks for Large-Scale Autonomous Decision Systems

Federated Learning for Privacy-Preserving Collaborative AI in Distributed Systems

Hierarchical Dual-System Reinforcement Learning for Long-Horizon Autonomous Planning with Large Language Models

Federated Dual-Process AI for Privacy-Preserving Distributed Decision Intelligence in Smart Cities

Integration of Reinforcement Learning with Multi-Agent Systems for Real-Time Optimization

Scalable AI Governance and Compliance in Cloud-Based Machine Learning Platforms

Interpretable Latent Space Analysis of Cultural Symbol Representation in Generative Foundation Models

Meta-Adaptive Decision Transformers Inspired by Human Fast and Slow Cognitive Mechanisms

Measuring Cultural Robustness in Diffusion-Based Generative AI Under Low-Resource Language Scenarios

Neuro-Symbolic Task Decomposition with High-Level Planning Guidance for Autonomous LLM Problem Solving

Risk-Aware Reinforcement Learning for Safe Strategic Reasoning in Large Language Model Agents

Robustness and Certified Safety in Adversarial Machine Learning for Critical Infrastructure

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