·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Democrats think cracking down on AI could give them an edge2h◆AI researchers stranded Claude on a virtual desert island. It started to “play.”5h◆A Theoretical Analysis of Test-Driven Code Generation10h◆Scalable Adaptation of 3D Geometric Foundation Models via Weak Supervision from Internet Video10h◆Can Graph Learning Learn Circuits?10h◆Beyond Fixed Acquisition Functions: Temporal Difference Active Learning for Perturbation Discovery10h◆Trajectory-Guided Steering: Mitigating Spurious Feature Bias in Clinical Classification10h◆Sentence-Level Topic Modeling with Lexical and Contextual Evidence10h◆Referring Multi-Object Tracking with Diverse Dynamic Expressions10h◆Rarity of Singletons Matters & Supplementary Materials10h◆TANGO: RNA Topology and Geometry Co-Design10h◆Handwritten Text Recognition Lives in the High-Pixel Variance Subspace10h◆RealtimeWAM: One-Step Asynchronous World Action Models10h◆How Well Do Prior-Data Fitted Networks Amortize Bayesian Inference?10h◆R$^2$ Flow: Recursive Self-Improvement via Recursive Skill Evolution10h◆Logic-Guided Graph Denoising Diffusion Models10h◆Unit-level aggregation breaks coverage in causal foundation models10h◆Mask-Based Deep Symbolic Regression10h◆RECREG: Recovery-based Shielding for Regular Safety Properties in Reinforcement Learning10h◆FormInv: A Measurement Protocol for Semantic Invariance in Mathematical Reasoning Benchmarks10h◆Democrats think cracking down on AI could give them an edge2h◆AI researchers stranded Claude on a virtual desert island. It started to “play.”5h◆A Theoretical Analysis of Test-Driven Code Generation10h◆Scalable Adaptation of 3D Geometric Foundation Models via Weak Supervision from Internet Video10h◆Can Graph Learning Learn Circuits?10h◆Beyond Fixed Acquisition Functions: Temporal Difference Active Learning for Perturbation Discovery10h◆Trajectory-Guided Steering: Mitigating Spurious Feature Bias in Clinical Classification10h◆Sentence-Level Topic Modeling with Lexical and Contextual Evidence10h◆Referring Multi-Object Tracking with Diverse Dynamic Expressions10h◆Rarity of Singletons Matters & Supplementary Materials10h◆TANGO: RNA Topology and Geometry Co-Design10h◆Handwritten Text Recognition Lives in the High-Pixel Variance Subspace10h◆RealtimeWAM: One-Step Asynchronous World Action Models10h◆How Well Do Prior-Data Fitted Networks Amortize Bayesian Inference?10h◆R$^2$ Flow: Recursive Self-Improvement via Recursive Skill Evolution10h◆Logic-Guided Graph Denoising Diffusion Models10h◆Unit-level aggregation breaks coverage in causal foundation models10h◆Mask-Based Deep Symbolic Regression10h◆RECREG: Recovery-based Shielding for Regular Safety Properties in Reinforcement Learning10h◆FormInv: A Measurement Protocol for Semantic Invariance in Mathematical Reasoning Benchmarks10h◆
News/D-NOVA: In-Storage Retrieval Accelerator via Dual-Bound 3D NAND-Optimized Similarity Search with Vector Adaptation
arxiv
PublishedJuly 21, 2026 at 4:00 AM
—neutral

D-NOVA: In-Storage Retrieval Accelerator via Dual-Bound 3D NAND-Optimized Similarity Search with Vector Adaptation

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

arXiv:2607.17538v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) enhances the factual grounding of large language model (LLM) inference by retrieving relevant information from external knowledge bases. However, its dense vector retrieval introduces significant latency and energ

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 →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivA Theoretical Analysis of Test-Driven Code Generation10harxivScalable Adaptation of 3D Geometric Foundation Models via Weak Supervision from Internet Video10harxivCan Graph Learning Learn Circuits?10harxivBeyond Fixed Acquisition Functions: Temporal Difference Active Learning for Perturbation Discovery10h
The Bubble Brief
MON · WED · FRI

Read AI 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