·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response3h◆Navalia: Advancing Cowork Agents through Verifiable Task Synthesis and Long-Horizon Post-Training3h◆Large language model and reinforcement learning based autonomous construction and progress updates3h◆MedPAO-Assist: Edge-Deployable, Modality-Aware Agentic AI for Radiology Report Structuring3h◆DataPraxis: Scaling Analytics Tasks via Verified Workspace Evolution3h◆Industrial Agentic AI: LLM-Driven New-Generation Agents for Smart Manufacturing3h◆MAMath-Bench: Process-Aware and Robust Evaluation of Multimodal Multi-Agent Mathematical Reasoning3h◆LightCRS: Lightweight Multi-Domain Conversational Recommendation System3h◆When Planning Problems Become Hard for LLMs: Separating Structural Complexity from Semantic Interpretability3h◆Physical AI: Concepts, Techniques, and Challenges3h◆ReuF2F: Benchmarking Coding Agents on Formalized Undergraduate Research Problems3h◆A general-purpose System One decision model for clinical records3h◆EDMA: Entropy-Driven Multimodal Answering3h◆Learned Control Variates for Rare Grid-Outage Estimation at Electric Vehicle Charging Stations3h◆TEX: Test-Time Scaling Testing Agents via Execution-based Cross-Validation3h◆When PTQ Calibration Helps or Hurts: Dose-Driven Collapse and Validation-Gated Abstention in Quantized Text Embedders3h◆Unified Sharp Bounds on Probabilities of Causation3h◆ProMemAgent: Long-Horizon Proactive Assistance with Context-Aware Prospective Memory from Sensory Perceptions3h◆Harness Self-Evolution for Long-Horizon Terminal Agents3h◆Ask to Distill: Learning to Synthesize Data for On-Policy Distillation3h◆An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response3h◆Navalia: Advancing Cowork Agents through Verifiable Task Synthesis and Long-Horizon Post-Training3h◆Large language model and reinforcement learning based autonomous construction and progress updates3h◆MedPAO-Assist: Edge-Deployable, Modality-Aware Agentic AI for Radiology Report Structuring3h◆DataPraxis: Scaling Analytics Tasks via Verified Workspace Evolution3h◆Industrial Agentic AI: LLM-Driven New-Generation Agents for Smart Manufacturing3h◆MAMath-Bench: Process-Aware and Robust Evaluation of Multimodal Multi-Agent Mathematical Reasoning3h◆LightCRS: Lightweight Multi-Domain Conversational Recommendation System3h◆When Planning Problems Become Hard for LLMs: Separating Structural Complexity from Semantic Interpretability3h◆Physical AI: Concepts, Techniques, and Challenges3h◆ReuF2F: Benchmarking Coding Agents on Formalized Undergraduate Research Problems3h◆A general-purpose System One decision model for clinical records3h◆EDMA: Entropy-Driven Multimodal Answering3h◆Learned Control Variates for Rare Grid-Outage Estimation at Electric Vehicle Charging Stations3h◆TEX: Test-Time Scaling Testing Agents via Execution-based Cross-Validation3h◆When PTQ Calibration Helps or Hurts: Dose-Driven Collapse and Validation-Gated Abstention in Quantized Text Embedders3h◆Unified Sharp Bounds on Probabilities of Causation3h◆ProMemAgent: Long-Horizon Proactive Assistance with Context-Aware Prospective Memory from Sensory Perceptions3h◆Harness Self-Evolution for Long-Horizon Terminal Agents3h◆Ask to Distill: Learning to Synthesize Data for On-Policy Distillation3h◆
News/annbatch unlocks terabyte-scale training of biological data in anndata
arxiv
PublishedApril 3, 2026 at 4:00 AM
▲bullish

annbatch unlocks terabyte-scale training of biological data in anndata

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

arXiv:2604.01949v1 Announce Type: new Abstract: The scale of biological datasets now routinely exceeds system memory, making data access rather than model computation the primary bottleneck in training machine-learning models. This bottleneck is particularly acute in biology, where widely used commu

Stay posted· Newsletter

Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.

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

Your email is used only to send The Bubble Brief. Privacy policy

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#machine-learning#genomics#scalability#bioinformatics

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#machine-learning#genomics#scalability#bioinformatics

Related coverage

More from ARXIV
arxivAn AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response3harxivNavalia: Advancing Cowork Agents through Verifiable Task Synthesis and Long-Horizon Post-Training3harxivLarge language model and reinforcement learning based autonomous construction and progress updates3harxivMedPAO-Assist: Edge-Deployable, Modality-Aware Agentic AI for Radiology Report Structuring3h
The Bubble Brief
MON · WED · FRI

Read machine-learning insights every Monday, Wednesday and Friday — top movers, new models, story of the week.

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

Your email is used only to send The Bubble Brief. Privacy policy

Originally published on arxiv ↗
PrivacyTermsRefundsLegal notice|AboutMethodologyContact

© 2026 Databubble

Built by Marouane Gazouzi · Readyo, AI interview coach

HomeModelsNews