generative ai

Diffusion-Based Latency-Sensitive Task Scheduling for Generative Digital Twins in Industrial Internet of Things

Generative Digital Twins (GDT) integrates Generative Artificial Intelligence (AI) with Digital Twin (DT) technology, providing high-fidelity modeling and real-time decision-making capabilities for smart manufacturing in Industrial Internet of Things (IIoT). However, the complex scheduling of computationally intensive a...

Generative AI Model Assisted Multimodal Semantic Vehicular Edge Computing for Collaborative Perception

Vehicular edge computing (VEC) plays a pivotal role in enabling cooperative perception for connected autonomous vehicles (CAVs), providing comprehensive environmental awareness for safe vehicle control and road safety. However, collaborative perception in VEC faces significant challenges arising from stringent bandwidt...

AI Meets Program Analysis: Lessons from a Decade of Enterprise Software Modernization at IBM

This paper argues that AI and program analysis are not competing technologies but complementary capabilities, and envision enterprise software engineering as a collaboration in which program analysis provides evidence, AI provides intelligence, and human engineers contribute the judgment and wisdom required to build tr...

PREreview of "COMED: The Missing Middle Between Routing and Collaboration in Multi-LLM Inference"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23177551. ## Summary Routing picks one model and stops; dense collaboration invokes peers on every query. COMED argues both ends of this spectrum are wrong and formalizes the middle...

A Generative AI-Enhanced Mobile Learning Framework for Adaptive Human–Machine Collaboration

Ubiquitous mobile learning has emerged as a central modality in higher education. While generative artificial intelligence offers significant potential for personalized learning, its deployment is constrained by two fundamental bottlenecks: the hard resource limitations of end-device computing and the inadequate adapta...

PREreview of "Where Does Agent Reliability Come From? A Cross-Benchmark Decomposition of Verification Loops, Specialist Models, and Scaffolding in a Production Enterprise Agent"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23197136. ## Summary This paper studies Leni, a production enterprise AI business-analyst agent, and asks a question most vendor papers avoid: where does the system's measured relia...

Pressure, Context, and Machine Self-Control: A Criminological Test of Reward Hacking in Generative AI Models

Publication guidelines for machine learning, deep learning, and generative AI

Editor-in-Chief Harry Levinson provides guidelines for determining the suitability of papers on machine learning, deep learning, and generative AI for publication in JM3.

Discourse Rerouting in Generative-AI-Supported Collaborative STEM Learning: a protocol of Systematic Evidence Map and Integrative Framework

AI and the PI: Infinite Generation, Finite Understanding

Abstract Generative artificial intelligence (AI) produces code and prose quickly, apparently enabling a principal investigator (PI) in a computational group to do more. Assessing this gain must also account for the laboratory’s role in training scientists who understand, maintain, and own their work. AI creates a gener...

PREreview of "Memory Control Signals Emerge Before Action in Long Horizon Agents"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23197372. ## Summary This paper asks whether a language model already represents its memory needs — when to compress history, when to recall earlier evidence — in its hidden state b...

PREreview of "Beyond Static Sandboxing: Learned Capability Governance for Autonomous AI Agents"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23197319. ## Summary This paper names a problem every agent deployer has felt but few have measured: open-source agent runtimes like OpenClaw expose every tool to every session by d...