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Ai Infrastructure

[P] fastrad: GPU-native radiomics library — 25× faster than PyRadiomics, 100% IBSI-compliant, all 8 feature classes

PyRadiomics is the de facto standard for radiomic feature extraction, but it's CPU-only and takes ~3 seconds per scan. At scale, that's a...

Reddit - Machine Learning · 1 min ·
Llms

World models will be the next big thing, bye-bye LLMs

Was at Nvidia's GTC conference recently and honestly, it was one of the most eye-opening events I've attended in a while. There was a lot...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

What tools are sr MLEs using? (clawdbot, openspec, wispr) [D]

I'm already blasting cursor, but I want to level up my output. I heard that these kind of AI tools and workflows are being asked in SF. W...

Reddit - Machine Learning · 1 min ·

All Content

[2603.04057] Sim2Sea: Sim-to-Real Policy Transfer for Maritime Vessel Navigation in Congested Waters
Robotics

[2603.04057] Sim2Sea: Sim-to-Real Policy Transfer for Maritime Vessel Navigation in Congested Waters

Abstract page for arXiv paper 2603.04057: Sim2Sea: Sim-to-Real Policy Transfer for Maritime Vessel Navigation in Congested Waters

arXiv - AI · 4 min ·
[2603.03785] Observationally Informed Adaptive Causal Experimental Design
Machine Learning

[2603.03785] Observationally Informed Adaptive Causal Experimental Design

Abstract page for arXiv paper 2603.03785: Observationally Informed Adaptive Causal Experimental Design

arXiv - Machine Learning · 4 min ·
[2603.04029] Self-adapting Robotic Agents through Online Continual Reinforcement Learning with World Model Feedback
Machine Learning

[2603.04029] Self-adapting Robotic Agents through Online Continual Reinforcement Learning with World Model Feedback

Abstract page for arXiv paper 2603.04029: Self-adapting Robotic Agents through Online Continual Reinforcement Learning with World Model F...

arXiv - AI · 3 min ·
[2603.03587] Controllable Generative Sandbox for Causal Inference
Machine Learning

[2603.03587] Controllable Generative Sandbox for Causal Inference

Abstract page for arXiv paper 2603.03587: Controllable Generative Sandbox for Causal Inference

arXiv - Machine Learning · 3 min ·
[2603.03977] Right in Time: Reactive Reasoning in Regulated Traffic Spaces
Machine Learning

[2603.03977] Right in Time: Reactive Reasoning in Regulated Traffic Spaces

Abstract page for arXiv paper 2603.03977: Right in Time: Reactive Reasoning in Regulated Traffic Spaces

arXiv - AI · 4 min ·
[2603.03493] Quantifying Ranking Instability Across Evaluation Protocol Axes in Gene Regulatory Network Benchmarking
Machine Learning

[2603.03493] Quantifying Ranking Instability Across Evaluation Protocol Axes in Gene Regulatory Network Benchmarking

Abstract page for arXiv paper 2603.03493: Quantifying Ranking Instability Across Evaluation Protocol Axes in Gene Regulatory Network Benc...

arXiv - Machine Learning · 4 min ·
[2603.03405] Surprisal-Rényi Free Energy
Machine Learning

[2603.03405] Surprisal-Rényi Free Energy

Abstract page for arXiv paper 2603.03405: Surprisal-Rényi Free Energy

arXiv - Machine Learning · 3 min ·
[2603.03897] IROSA: Interactive Robot Skill Adaptation using Natural Language
Llms

[2603.03897] IROSA: Interactive Robot Skill Adaptation using Natural Language

Abstract page for arXiv paper 2603.03897: IROSA: Interactive Robot Skill Adaptation using Natural Language

arXiv - AI · 3 min ·
[2603.03336] Prompt-Dependent Ranking of Large Language Models with Uncertainty Quantification
Llms

[2603.03336] Prompt-Dependent Ranking of Large Language Models with Uncertainty Quantification

Abstract page for arXiv paper 2603.03336: Prompt-Dependent Ranking of Large Language Models with Uncertainty Quantification

arXiv - Machine Learning · 4 min ·
[2603.03880] Joint Hardware-Workload Co-Optimization for In-Memory Computing Accelerators
Machine Learning

[2603.03880] Joint Hardware-Workload Co-Optimization for In-Memory Computing Accelerators

Abstract page for arXiv paper 2603.03880: Joint Hardware-Workload Co-Optimization for In-Memory Computing Accelerators

arXiv - AI · 3 min ·
[2603.03310] Entropic-Time Inference: Self-Organizing Large Language Model Decoding Beyond Attention
Llms

[2603.03310] Entropic-Time Inference: Self-Organizing Large Language Model Decoding Beyond Attention

Abstract page for arXiv paper 2603.03310: Entropic-Time Inference: Self-Organizing Large Language Model Decoding Beyond Attention

arXiv - Machine Learning · 3 min ·
[2603.03769] IntroductionDMD-augmented Unpaired Neural Schrödinger Bridge for Ultra-Low Field MRI Enhancement
Ai Safety

[2603.03769] IntroductionDMD-augmented Unpaired Neural Schrödinger Bridge for Ultra-Low Field MRI Enhancement

Abstract page for arXiv paper 2603.03769: IntroductionDMD-augmented Unpaired Neural Schrödinger Bridge for Ultra-Low Field MRI Enhancement

arXiv - Machine Learning · 3 min ·
[2603.04359] Dissecting Quantization Error: A Concentration-Alignment Perspective
Machine Learning

[2603.04359] Dissecting Quantization Error: A Concentration-Alignment Perspective

Abstract page for arXiv paper 2603.04359: Dissecting Quantization Error: A Concentration-Alignment Perspective

arXiv - AI · 3 min ·
[2603.03752] Confidence-Calibrated Small-Large Language Model Collaboration for Cost-Efficient Reasoning
Llms

[2603.03752] Confidence-Calibrated Small-Large Language Model Collaboration for Cost-Efficient Reasoning

Abstract page for arXiv paper 2603.03752: Confidence-Calibrated Small-Large Language Model Collaboration for Cost-Efficient Reasoning

arXiv - AI · 3 min ·
[2603.04328] Algorithmic Compliance and Regulatory Loss in Digital Assets
Machine Learning

[2603.04328] Algorithmic Compliance and Regulatory Loss in Digital Assets

Abstract page for arXiv paper 2603.04328: Algorithmic Compliance and Regulatory Loss in Digital Assets

arXiv - Machine Learning · 3 min ·
[2603.04323] PTOPOFL: Privacy-Preserving Personalised Federated Learning via Persistent Homology
Ai Infrastructure

[2603.04323] PTOPOFL: Privacy-Preserving Personalised Federated Learning via Persistent Homology

Abstract page for arXiv paper 2603.04323: PTOPOFL: Privacy-Preserving Personalised Federated Learning via Persistent Homology

arXiv - Machine Learning · 4 min ·
[2603.04308] Activation Outliers in Transformer Quantization: Reproduction, Statistical Analysis, and Deployment Tradeoffs
Machine Learning

[2603.04308] Activation Outliers in Transformer Quantization: Reproduction, Statistical Analysis, and Deployment Tradeoffs

Abstract page for arXiv paper 2603.04308: Activation Outliers in Transformer Quantization: Reproduction, Statistical Analysis, and Deploy...

arXiv - AI · 4 min ·
[2603.04247] Online Learning for Multi-Layer Hierarchical Inference under Partial and Policy-Dependent Feedback
Machine Learning

[2603.04247] Online Learning for Multi-Layer Hierarchical Inference under Partial and Policy-Dependent Feedback

Abstract page for arXiv paper 2603.04247: Online Learning for Multi-Layer Hierarchical Inference under Partial and Policy-Dependent Feedback

arXiv - AI · 4 min ·
[2603.04224] Nearest-Neighbor Density Estimation for Dependency Suppression
Ai Infrastructure

[2603.04224] Nearest-Neighbor Density Estimation for Dependency Suppression

Abstract page for arXiv paper 2603.04224: Nearest-Neighbor Density Estimation for Dependency Suppression

arXiv - Machine Learning · 3 min ·
[2603.04142] A Multi-Agent Framework for Interpreting Multivariate Physiological Time Series
Llms

[2603.04142] A Multi-Agent Framework for Interpreting Multivariate Physiological Time Series

Abstract page for arXiv paper 2603.04142: A Multi-Agent Framework for Interpreting Multivariate Physiological Time Series

arXiv - Machine Learning · 4 min ·
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