·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Replit is no longer working with Anthropic, CEO says14h◆How Itaú is building generative AI for its entire customer base16h◆Roundtables: A Conversation With the Creator of AI-Designed Viruses17h◆India becomes the latest country to report rogue AI agent activity17h◆An Nvidia insider-turned-VC on why robotics hasn’t hit its ChatGPT moment, yet18h◆Physical AI is more than robots, says the Nvidia veteran now investing in it18h◆Elorian’s first AI model wants to reason with images, not just about them19h◆Jev is Vercel’s fastest-adopted AI model ever19h◆A week with RTX Spark: everything we’ve learned using Nvidia’s new laptops20h◆Mark Wahlberg on using AI in film ‘the right way’ and being open to an AI clone carrying on his legacy20h◆Meta’s new terms may allow it to train AI on news sites for free21h◆Veritas expands its anti-counterfeit chip to jewelry, trophies, and fragrance bottles21h◆Replit’s CEO says the future of work is the ‘self-driving company’22h◆Optimal Hydra: Model Heterogeneous Federated Learning for LLMs using Data-Informed Hydra-Nets1d◆Judging the Judges: Confidence and Disagreement in Rubrics as Rewards1d◆Content associations with answer selection and engagement in supply chain community question answering1d◆ORACLE-SWE: Quantifying the Contribution of Critical Information Signals on SWE Agents1d◆REKI: Registering Knowledge in VLAs1d◆Multimodal Remote Inference1d◆HyCo: Hybrid Drafting for Cost-Efficient Mobile-Cloud Speculative Decoding1d◆Replit is no longer working with Anthropic, CEO says14h◆How Itaú is building generative AI for its entire customer base16h◆Roundtables: A Conversation With the Creator of AI-Designed Viruses17h◆India becomes the latest country to report rogue AI agent activity17h◆An Nvidia insider-turned-VC on why robotics hasn’t hit its ChatGPT moment, yet18h◆Physical AI is more than robots, says the Nvidia veteran now investing in it18h◆Elorian’s first AI model wants to reason with images, not just about them19h◆Jev is Vercel’s fastest-adopted AI model ever19h◆A week with RTX Spark: everything we’ve learned using Nvidia’s new laptops20h◆Mark Wahlberg on using AI in film ‘the right way’ and being open to an AI clone carrying on his legacy20h◆Meta’s new terms may allow it to train AI on news sites for free21h◆Veritas expands its anti-counterfeit chip to jewelry, trophies, and fragrance bottles21h◆Replit’s CEO says the future of work is the ‘self-driving company’22h◆Optimal Hydra: Model Heterogeneous Federated Learning for LLMs using Data-Informed Hydra-Nets1d◆Judging the Judges: Confidence and Disagreement in Rubrics as Rewards1d◆Content associations with answer selection and engagement in supply chain community question answering1d◆ORACLE-SWE: Quantifying the Contribution of Critical Information Signals on SWE Agents1d◆REKI: Registering Knowledge in VLAs1d◆Multimodal Remote Inference1d◆HyCo: Hybrid Drafting for Cost-Efficient Mobile-Cloud Speculative Decoding1d◆
News/InstructPro2: Natural Language and Biological Grounding Guided De Novo Protein Design
arxiv
PublishedOctober 15, 2026 at 4:00 AM

InstructPro2: Natural Language and Biological Grounding Guided De Novo Protein Design

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

arXiv:2610.19592v1 Announce Type: new Abstract: The ability to generate proteins with desired functions is a central goal of computational biology. Although natural language can express diverse design objectives, existing protein generation methods often support only narrow tasks or make limited use

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
arxivOptimal Hydra: Model Heterogeneous Federated Learning for LLMs using Data-Informed Hydra-Nets1darxivJudging the Judges: Confidence and Disagreement in Rubrics as Rewards1darxivContent associations with answer selection and engagement in supply chain community question answering1darxivORACLE-SWE: Quantifying the Contribution of Critical Information Signals on SWE Agents1d
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