UMKC Announces New Master of Science in Artificial Intelligence
UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...
GPUs, training clusters, MLOps, and deployment
UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...
Abstract page for arXiv paper 2603.16430: EngGPT2: Sovereign, Efficient and Open Intelligence
Abstract page for arXiv paper 2603.13294: Real-World AI Evaluation: How FRAME Generates Systematic Evidence to Resolve the Decision-Maker...
Abstract page for arXiv paper 2603.03785: Observationally Informed Adaptive Causal Experimental Design
Abstract page for arXiv paper 2603.04029: Self-adapting Robotic Agents through Online Continual Reinforcement Learning with World Model F...
Abstract page for arXiv paper 2603.03587: Controllable Generative Sandbox for Causal Inference
Abstract page for arXiv paper 2603.03977: Right in Time: Reactive Reasoning in Regulated Traffic Spaces
Abstract page for arXiv paper 2603.03493: Quantifying Ranking Instability Across Evaluation Protocol Axes in Gene Regulatory Network Benc...
Abstract page for arXiv paper 2603.03405: Surprisal-Rényi Free Energy
Abstract page for arXiv paper 2603.03897: IROSA: Interactive Robot Skill Adaptation using Natural Language
Abstract page for arXiv paper 2603.03336: Prompt-Dependent Ranking of Large Language Models with Uncertainty Quantification
Abstract page for arXiv paper 2603.03880: Joint Hardware-Workload Co-Optimization for In-Memory Computing Accelerators
Abstract page for arXiv paper 2603.03310: Entropic-Time Inference: Self-Organizing Large Language Model Decoding Beyond Attention
Abstract page for arXiv paper 2603.03769: IntroductionDMD-augmented Unpaired Neural Schrödinger Bridge for Ultra-Low Field MRI Enhancement
Abstract page for arXiv paper 2603.04359: Dissecting Quantization Error: A Concentration-Alignment Perspective
Abstract page for arXiv paper 2603.03752: Confidence-Calibrated Small-Large Language Model Collaboration for Cost-Efficient Reasoning
Abstract page for arXiv paper 2603.04328: Algorithmic Compliance and Regulatory Loss in Digital Assets
Abstract page for arXiv paper 2603.04323: PTOPOFL: Privacy-Preserving Personalised Federated Learning via Persistent Homology
Abstract page for arXiv paper 2603.04308: Activation Outliers in Transformer Quantization: Reproduction, Statistical Analysis, and Deploy...
Abstract page for arXiv paper 2603.04247: Online Learning for Multi-Layer Hierarchical Inference under Partial and Policy-Dependent Feedback
Abstract page for arXiv paper 2603.04224: Nearest-Neighbor Density Estimation for Dependency Suppression
Abstract page for arXiv paper 2603.04142: A Multi-Agent Framework for Interpreting Multivariate Physiological Time Series
Abstract page for arXiv paper 2603.03681: EvoPrune: Early-Stage Visual Token Pruning for Efficient MLLMs
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