AI Infrastructure

GPUs, training clusters, MLOps, and deployment

This Week's Best | Monthly Best | Guide | Trending

Top This Week

Llms

Agents Can Now Propose and Deploy Their Own Code Changes

150 clones yesterday. 43 stars in 3 days. Every agent framework you've used (LangChain, LangGraph, Claude Code) assumes agents are tools ...

Reddit - Artificial Intelligence · 1 min ·
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 ·
[2603.05659] When Rubrics Fail: Error Enumeration as Reward in Reference-Free RL Post-Training for Virtual Try-On
Machine Learning

[2603.05659] When Rubrics Fail: Error Enumeration as Reward in Reference-Free RL Post-Training for Virtual Try-On

Abstract page for arXiv paper 2603.05659: When Rubrics Fail: Error Enumeration as Reward in Reference-Free RL Post-Training for Virtual T...

arXiv - AI · 4 min ·

All Content

[2603.01581] KERV: Kinematic-Rectified Speculative Decoding for Embodied VLA Models
Machine Learning

[2603.01581] KERV: Kinematic-Rectified Speculative Decoding for Embodied VLA Models

Abstract page for arXiv paper 2603.01581: KERV: Kinematic-Rectified Speculative Decoding for Embodied VLA Models

arXiv - Machine Learning · 3 min ·
[2512.01351] Benchmarking Overton Pluralism in LLMs
Llms

[2512.01351] Benchmarking Overton Pluralism in LLMs

Abstract page for arXiv paper 2512.01351: Benchmarking Overton Pluralism in LLMs

arXiv - AI · 3 min ·
[2603.01399] Quasar: Quantized Self-Speculative Acceleration for Rapid Inference via Memory-Efficient Verification
Llms

[2603.01399] Quasar: Quantized Self-Speculative Acceleration for Rapid Inference via Memory-Efficient Verification

Abstract page for arXiv paper 2603.01399: Quasar: Quantized Self-Speculative Acceleration for Rapid Inference via Memory-Efficient Verifi...

arXiv - Machine Learning · 4 min ·
[2603.01337] Adaptive Estimation and Inference in Conditional Moment Models via the Discrepancy Principle
Machine Learning

[2603.01337] Adaptive Estimation and Inference in Conditional Moment Models via the Discrepancy Principle

Abstract page for arXiv paper 2603.01337: Adaptive Estimation and Inference in Conditional Moment Models via the Discrepancy Principle

arXiv - Machine Learning · 3 min ·
[2603.01326] Truth as a Trajectory: What Internal Representations Reveal About Large Language Model Reasoning
Llms

[2603.01326] Truth as a Trajectory: What Internal Representations Reveal About Large Language Model Reasoning

Abstract page for arXiv paper 2603.01326: Truth as a Trajectory: What Internal Representations Reveal About Large Language Model Reasoning

arXiv - Machine Learning · 4 min ·
[2603.01306] GPU-friendly and Linearly Convergent First-order Methods for Certifying Optimal $k$-sparse GLMs
Machine Learning

[2603.01306] GPU-friendly and Linearly Convergent First-order Methods for Certifying Optimal $k$-sparse GLMs

Abstract page for arXiv paper 2603.01306: GPU-friendly and Linearly Convergent First-order Methods for Certifying Optimal $k$-sparse GLMs

arXiv - Machine Learning · 4 min ·
[2509.23415] From Conversation to Query Execution: Benchmarking User and Tool Interactions for EHR Database Agents
Llms

[2509.23415] From Conversation to Query Execution: Benchmarking User and Tool Interactions for EHR Database Agents

Abstract page for arXiv paper 2509.23415: From Conversation to Query Execution: Benchmarking User and Tool Interactions for EHR Database ...

arXiv - AI · 4 min ·
[2603.01102] Structure-preserving Randomized Neural Networks for Incompressible Magnetohydrodynamics Equations
Machine Learning

[2603.01102] Structure-preserving Randomized Neural Networks for Incompressible Magnetohydrodynamics Equations

Abstract page for arXiv paper 2603.01102: Structure-preserving Randomized Neural Networks for Incompressible Magnetohydrodynamics Equations

arXiv - Machine Learning · 4 min ·
[2508.02197] A Message Passing Realization of Expected Free Energy Minimization
Machine Learning

[2508.02197] A Message Passing Realization of Expected Free Energy Minimization

Abstract page for arXiv paper 2508.02197: A Message Passing Realization of Expected Free Energy Minimization

arXiv - AI · 3 min ·
[2603.01019] BadRSSD: Backdoor Attacks on Regularized Self-Supervised Diffusion Models
Machine Learning

[2603.01019] BadRSSD: Backdoor Attacks on Regularized Self-Supervised Diffusion Models

Abstract page for arXiv paper 2603.01019: BadRSSD: Backdoor Attacks on Regularized Self-Supervised Diffusion Models

arXiv - Machine Learning · 4 min ·
[2412.03772] A Contemporary Overview: Trends and Applications of Large Language Models on Mobile Devices
Llms

[2412.03772] A Contemporary Overview: Trends and Applications of Large Language Models on Mobile Devices

Abstract page for arXiv paper 2412.03772: A Contemporary Overview: Trends and Applications of Large Language Models on Mobile Devices

arXiv - AI · 4 min ·
[2603.02200] Adaptive Confidence Regularization for Multimodal Failure Detection
Machine Learning

[2603.02200] Adaptive Confidence Regularization for Multimodal Failure Detection

Abstract page for arXiv paper 2603.02200: Adaptive Confidence Regularization for Multimodal Failure Detection

arXiv - Machine Learning · 3 min ·
[2603.00711] IU: Imperceptible Universal Backdoor Attack
Machine Learning

[2603.00711] IU: Imperceptible Universal Backdoor Attack

Abstract page for arXiv paper 2603.00711: IU: Imperceptible Universal Backdoor Attack

arXiv - Machine Learning · 3 min ·
[2603.00632] Stop Treating Collisions Equally: Qualification-Aware Semantic ID Learning for Recommendation at Industrial Scale
Ai Infrastructure

[2603.00632] Stop Treating Collisions Equally: Qualification-Aware Semantic ID Learning for Recommendation at Industrial Scale

Abstract page for arXiv paper 2603.00632: Stop Treating Collisions Equally: Qualification-Aware Semantic ID Learning for Recommendation a...

arXiv - Machine Learning · 4 min ·
[2603.02153] Scaling Retrieval Augmented Generation with RAG Fusion: Lessons from an Industry Deployment
Nlp

[2603.02153] Scaling Retrieval Augmented Generation with RAG Fusion: Lessons from an Industry Deployment

Abstract page for arXiv paper 2603.02153: Scaling Retrieval Augmented Generation with RAG Fusion: Lessons from an Industry Deployment

arXiv - AI · 4 min ·
[2603.00551] GCL-Sampler: Discovering Kernel Similarity for Sampled GPU Simulation via Graph Contrastive Learning
Nlp

[2603.00551] GCL-Sampler: Discovering Kernel Similarity for Sampled GPU Simulation via Graph Contrastive Learning

Abstract page for arXiv paper 2603.00551: GCL-Sampler: Discovering Kernel Similarity for Sampled GPU Simulation via Graph Contrastive Lea...

arXiv - Machine Learning · 3 min ·
[2603.00453] Neurosymbolic Learning for Advanced Persistent Threat Detection under Extreme Class Imbalance
Machine Learning

[2603.00453] Neurosymbolic Learning for Advanced Persistent Threat Detection under Extreme Class Imbalance

Abstract page for arXiv paper 2603.00453: Neurosymbolic Learning for Advanced Persistent Threat Detection under Extreme Class Imbalance

arXiv - Machine Learning · 4 min ·
[2603.00393] Dual-space posterior sampling for Bayesian inference in constrained inverse problems
Machine Learning

[2603.00393] Dual-space posterior sampling for Bayesian inference in constrained inverse problems

Abstract page for arXiv paper 2603.00393: Dual-space posterior sampling for Bayesian inference in constrained inverse problems

arXiv - Machine Learning · 4 min ·
[2603.00356] Token Management in Multi-Tenant AI Inference Platforms
Machine Learning

[2603.00356] Token Management in Multi-Tenant AI Inference Platforms

Abstract page for arXiv paper 2603.00356: Token Management in Multi-Tenant AI Inference Platforms

arXiv - Machine Learning · 4 min ·
[2603.02050] "When to Hand Off, When to Work Together": Expanding Human-Agent Co-Creative Collaboration through Concurrent Interaction
Ai Infrastructure

[2603.02050] "When to Hand Off, When to Work Together": Expanding Human-Agent Co-Creative Collaboration through Concurrent Interaction

Abstract page for arXiv paper 2603.02050: "When to Hand Off, When to Work Together": Expanding Human-Agent Co-Creative Collaboration thro...

arXiv - AI · 3 min ·
Previous Page 52 Next

Related Topics

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

Stay updated with AI News

Get the latest news, tools, and insights delivered to your inbox.

Subscribe to Newsletter

Daily or weekly digest • Unsubscribe anytime