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UMKC Announces New Master of Science in Artificial Intelligence
Ai Infrastructure

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...

AI News - General · 4 min ·
Llms

LLM agents can trigger real actions now. But what actually stops them from executing?

We ran into a simple but important issue while building agents with tool calling: the model can propose actions but nothing actually enfo...

Reddit - Artificial Intelligence · 1 min ·
OpenAI, not yet public, raises $3B from retail investors in monster $122B fund raise | TechCrunch
Ai Infrastructure

OpenAI, not yet public, raises $3B from retail investors in monster $122B fund raise | TechCrunch

OpenAI's latest funding round, led by Amazon, Nvidia, and SoftBank, values the AI lab at $852 billion as it nears an IPO.

TechCrunch - AI · 4 min ·

All Content

[2504.14960] MoE Parallel Folding: Heterogeneous Parallelism Mappings for Efficient Large-Scale MoE Model Training with Megatron Core
Machine Learning

[2504.14960] MoE Parallel Folding: Heterogeneous Parallelism Mappings for Efficient Large-Scale MoE Model Training with Megatron Core

Abstract page for arXiv paper 2504.14960: MoE Parallel Folding: Heterogeneous Parallelism Mappings for Efficient Large-Scale MoE Model Tr...

arXiv - Machine Learning · 4 min ·
[2505.21786] VeriTrail: Closed-Domain Hallucination Detection with Traceability
Llms

[2505.21786] VeriTrail: Closed-Domain Hallucination Detection with Traceability

Abstract page for arXiv paper 2505.21786: VeriTrail: Closed-Domain Hallucination Detection with Traceability

arXiv - AI · 3 min ·
[2505.16056] Not All Models Suit Expert Offloading: On Local Routing Consistency of Mixture-of-Expert Models
Llms

[2505.16056] Not All Models Suit Expert Offloading: On Local Routing Consistency of Mixture-of-Expert Models

Abstract page for arXiv paper 2505.16056: Not All Models Suit Expert Offloading: On Local Routing Consistency of Mixture-of-Expert Models

arXiv - Machine Learning · 4 min ·
[2505.17702] Seek-CAD: A Self-refined Generative Modeling for 3D Parametric CAD Using Local Inference via DeepSeek
Llms

[2505.17702] Seek-CAD: A Self-refined Generative Modeling for 3D Parametric CAD Using Local Inference via DeepSeek

Abstract page for arXiv paper 2505.17702: Seek-CAD: A Self-refined Generative Modeling for 3D Parametric CAD Using Local Inference via De...

arXiv - AI · 4 min ·
[2505.13109] FreeKV: Boosting KV Cache Retrieval for Efficient LLM Inference
Llms

[2505.13109] FreeKV: Boosting KV Cache Retrieval for Efficient LLM Inference

Abstract page for arXiv paper 2505.13109: FreeKV: Boosting KV Cache Retrieval for Efficient LLM Inference

arXiv - Machine Learning · 4 min ·
[2501.08044] UFGraphFR: Graph Federation Recommendation System based on User Text description features
Ai Infrastructure

[2501.08044] UFGraphFR: Graph Federation Recommendation System based on User Text description features

Abstract page for arXiv paper 2501.08044: UFGraphFR: Graph Federation Recommendation System based on User Text description features

arXiv - Machine Learning · 4 min ·
[2502.16411] Predictive AI Can Support Human Learning while Preserving Error Diversity
Machine Learning

[2502.16411] Predictive AI Can Support Human Learning while Preserving Error Diversity

Abstract page for arXiv paper 2502.16411: Predictive AI Can Support Human Learning while Preserving Error Diversity

arXiv - Machine Learning · 4 min ·
[2305.04979] FedHB: Hierarchical Bayesian Federated Learning
Machine Learning

[2305.04979] FedHB: Hierarchical Bayesian Federated Learning

Abstract page for arXiv paper 2305.04979: FedHB: Hierarchical Bayesian Federated Learning

arXiv - Machine Learning · 4 min ·
[2502.01247] Polynomial, trigonometric, and tropical activations
Machine Learning

[2502.01247] Polynomial, trigonometric, and tropical activations

Abstract page for arXiv paper 2502.01247: Polynomial, trigonometric, and tropical activations

arXiv - Machine Learning · 4 min ·
[2603.02194] From Leaderboard to Deployment: Code Quality Challenges in AV Perception Repositories
Machine Learning

[2603.02194] From Leaderboard to Deployment: Code Quality Challenges in AV Perception Repositories

Abstract page for arXiv paper 2603.02194: From Leaderboard to Deployment: Code Quality Challenges in AV Perception Repositories

arXiv - Machine Learning · 4 min ·
[2603.02159] Instrumental and Proximal Causal Inference with Gaussian Processes
Machine Learning

[2603.02159] Instrumental and Proximal Causal Inference with Gaussian Processes

Abstract page for arXiv paper 2603.02159: Instrumental and Proximal Causal Inference with Gaussian Processes

arXiv - Machine Learning · 3 min ·
[2410.13648] SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs
Llms

[2410.13648] SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs

Abstract page for arXiv paper 2410.13648: SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs

arXiv - AI · 4 min ·
[2603.02109] Orchestrating Multimodal DNN Workloads in Wireless Neural Processing
Machine Learning

[2603.02109] Orchestrating Multimodal DNN Workloads in Wireless Neural Processing

Abstract page for arXiv paper 2603.02109: Orchestrating Multimodal DNN Workloads in Wireless Neural Processing

arXiv - Machine Learning · 3 min ·
[2603.01999] Learning Vision-Based Omnidirectional Navigation: A Teacher-Student Approach Using Monocular Depth Estimation
Robotics

[2603.01999] Learning Vision-Based Omnidirectional Navigation: A Teacher-Student Approach Using Monocular Depth Estimation

Abstract page for arXiv paper 2603.01999: Learning Vision-Based Omnidirectional Navigation: A Teacher-Student Approach Using Monocular De...

arXiv - Machine Learning · 4 min ·
[2603.01971] LOCUS: A Distribution-Free Loss-Quantile Score for Risk-Aware Predictions
Machine Learning

[2603.01971] LOCUS: A Distribution-Free Loss-Quantile Score for Risk-Aware Predictions

Abstract page for arXiv paper 2603.01971: LOCUS: A Distribution-Free Loss-Quantile Score for Risk-Aware Predictions

arXiv - Machine Learning · 3 min ·
[2603.01870] Generalizing Logic-based Explanations for Machine Learning Classifiers via Optimization
Machine Learning

[2603.01870] Generalizing Logic-based Explanations for Machine Learning Classifiers via Optimization

Abstract page for arXiv paper 2603.01870: Generalizing Logic-based Explanations for Machine Learning Classifiers via Optimization

arXiv - Machine Learning · 4 min ·
[2603.01834] Probing Materials Knowledge in LLMs: From Latent Embeddings to Reliable Predictions
Llms

[2603.01834] Probing Materials Knowledge in LLMs: From Latent Embeddings to Reliable Predictions

Abstract page for arXiv paper 2603.01834: Probing Materials Knowledge in LLMs: From Latent Embeddings to Reliable Predictions

arXiv - Machine Learning · 3 min ·
[2602.10625] To Think or Not To Think, That is The Question for Large Reasoning Models in Theory of Mind Tasks
Llms

[2602.10625] To Think or Not To Think, That is The Question for Large Reasoning Models in Theory of Mind Tasks

Abstract page for arXiv paper 2602.10625: To Think or Not To Think, That is The Question for Large Reasoning Models in Theory of Mind Tasks

arXiv - AI · 4 min ·
[2601.10729] OrbitFlow: SLO-Aware Long-Context LLM Serving with Fine-Grained KV Cache Reconfiguration
Llms

[2601.10729] OrbitFlow: SLO-Aware Long-Context LLM Serving with Fine-Grained KV Cache Reconfiguration

Abstract page for arXiv paper 2601.10729: OrbitFlow: SLO-Aware Long-Context LLM Serving with Fine-Grained KV Cache Reconfiguration

arXiv - Machine Learning · 4 min ·
[2601.05724] Overcoming Joint Intractability with Lossless Hierarchical Speculative Decoding
Machine Learning

[2601.05724] Overcoming Joint Intractability with Lossless Hierarchical Speculative Decoding

Abstract page for arXiv paper 2601.05724: Overcoming Joint Intractability with Lossless Hierarchical Speculative Decoding

arXiv - AI · 3 min ·
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Related Topics

Machine Learning Large Language Models Generative AI Natural Language Processing Computer Vision Robotics & Embodied AI

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