·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Predictive Self-Supervised Learning Provably Identifies Stochastic Signals under Nuisance2h◆Pixel-Level Transformers in Remote Sensing: A Canopy Height Case Study2h◆Explore, Execute, Evolve: A Skill Acquisition and Reuse Loop for Embodied Agents2h◆Boosting Adversarial Robustness and Generalization with Dictionary Structure2h◆Making Duplicate Reimbursement Unrepresentable: A Verified Ethereum E-Invoice System for Humans and AI Agents2h◆HandAnthro: Automated Hand Anthropometry from a Single Image2h◆AgentBug-Smith: Automatically Reproducing Real-World Harness Bugs in Agentic Systems2h◆A Dominant Supplier Slows Recursive Drift More Than It Steers It2h◆COMiT: Learning Structured Visual Tokens through Sequential Communication2h◆PAC-CF: Calibrating Irreversible Frontier Pruning in LLM-Guided Search2h◆RobotValues: Evaluating Household Robots When Human Values Conflict2h◆TacForcing: Streaming Action Generation with Execution-Time Tactile Feedback2h◆Learning Spectrally Optimised Mesh-Free Discretisations2h◆Question-Specific Knowledge Graphs for Efficient Visual Reasoning2h◆Dropout Universality: Scaling Laws and Optimal Scheduling at the Edge-of-Chaos2h◆Local Search with Correlated Randomness2h◆When Can Prefixes Compile LoRA? Exact Resource-Capped Tests for Frozen Attention2h◆How Can Recommendation Feedback Evolve Agent Memory?2h◆Sage: Formalization with Semantic Correction2h◆Alignment Forecasting: Predicting Misalignment From Training Data2h◆Predictive Self-Supervised Learning Provably Identifies Stochastic Signals under Nuisance2h◆Pixel-Level Transformers in Remote Sensing: A Canopy Height Case Study2h◆Explore, Execute, Evolve: A Skill Acquisition and Reuse Loop for Embodied Agents2h◆Boosting Adversarial Robustness and Generalization with Dictionary Structure2h◆Making Duplicate Reimbursement Unrepresentable: A Verified Ethereum E-Invoice System for Humans and AI Agents2h◆HandAnthro: Automated Hand Anthropometry from a Single Image2h◆AgentBug-Smith: Automatically Reproducing Real-World Harness Bugs in Agentic Systems2h◆A Dominant Supplier Slows Recursive Drift More Than It Steers It2h◆COMiT: Learning Structured Visual Tokens through Sequential Communication2h◆PAC-CF: Calibrating Irreversible Frontier Pruning in LLM-Guided Search2h◆RobotValues: Evaluating Household Robots When Human Values Conflict2h◆TacForcing: Streaming Action Generation with Execution-Time Tactile Feedback2h◆Learning Spectrally Optimised Mesh-Free Discretisations2h◆Question-Specific Knowledge Graphs for Efficient Visual Reasoning2h◆Dropout Universality: Scaling Laws and Optimal Scheduling at the Edge-of-Chaos2h◆Local Search with Correlated Randomness2h◆When Can Prefixes Compile LoRA? Exact Resource-Capped Tests for Frozen Attention2h◆How Can Recommendation Feedback Evolve Agent Memory?2h◆Sage: Formalization with Semantic Correction2h◆Alignment Forecasting: Predicting Misalignment From Training Data2h◆
News/RLX: A Unified Multi-Backend Tensor Compiler and Distributed Runtime in Rust
arxiv
PublishedSeptember 30, 2026 at 4:00 AM

RLX: A Unified Multi-Backend Tensor Compiler and Distributed Runtime in Rust

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2609.37916v1 Announce Type: cross Abstract: Production machine learning (ML) stacks often split graph compilation and kernel execution across different layers and languages, making backend behavior, deployment guarantees, and performance fallbacks hard to reason about end-to-end. RLX addresses

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivPredictive Self-Supervised Learning Provably Identifies Stochastic Signals under Nuisance2harxivPixel-Level Transformers in Remote Sensing: A Canopy Height Case Study2harxivExplore, Execute, Evolve: A Skill Acquisition and Reuse Loop for Embodied Agents2harxivBoosting Adversarial Robustness and Generalization with Dictionary Structure2h
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
Built by Marouane Gazouzi
HomeModelsNews