·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Blackstone’s Jas Khaira says fears over AI-buildout debt are overblown2h◆Data centers could erase decades of air quality gains2h◆Meta to create a new class of shares to fund AI push3h◆TechCrunch Founder Summit 2026: Everything you need to know4h◆Meta says Muse has over 10M users, with shopping a top activity4h◆Broad access through consistent standards4h◆Recursive launches Flint, a laptop coding model it says was largely built by AI4h◆Anthropic takes on Muse with Claude Duet, its new AI agent5h◆While Amazon blocks AI agents, Walmart rolls out the welcome mat5h◆Walmart is inviting AI agents to shop for you5h◆NVIDIA Kumo Relational Outperforms Supervised Machine Learning on Relational Data, No Training Required6h◆PHP Armageddon: OpenAI, Google’s Wiz find ancient holes, panicking the internet7h◆Train in Simulation, Deploy on a Real Robot: Microduck with Isaac Lab 3.07h◆How Specializing the Vocabulary of SLMs Can Cut Inference Cost by 77% in Real Applications7h◆Blacksmith hits unicorn valuation after Sequoia leads Series C8h◆How AT&T is rethinking in-house legal work with OpenAI8h◆Profiling TorchNeuron (Part 1): System-level profiling on AWS Trainium.9h◆Conversational Gemini navigation comes to Apple CarPlay10h◆Granite Speech 5.0: Transcribe, Translate, and Attribute more Accurately and Faster10h◆AI promises productivity, but for managers, it’s mostly a headache for now11h◆Blackstone’s Jas Khaira says fears over AI-buildout debt are overblown2h◆Data centers could erase decades of air quality gains2h◆Meta to create a new class of shares to fund AI push3h◆TechCrunch Founder Summit 2026: Everything you need to know4h◆Meta says Muse has over 10M users, with shopping a top activity4h◆Broad access through consistent standards4h◆Recursive launches Flint, a laptop coding model it says was largely built by AI4h◆Anthropic takes on Muse with Claude Duet, its new AI agent5h◆While Amazon blocks AI agents, Walmart rolls out the welcome mat5h◆Walmart is inviting AI agents to shop for you5h◆NVIDIA Kumo Relational Outperforms Supervised Machine Learning on Relational Data, No Training Required6h◆PHP Armageddon: OpenAI, Google’s Wiz find ancient holes, panicking the internet7h◆Train in Simulation, Deploy on a Real Robot: Microduck with Isaac Lab 3.07h◆How Specializing the Vocabulary of SLMs Can Cut Inference Cost by 77% in Real Applications7h◆Blacksmith hits unicorn valuation after Sequoia leads Series C8h◆How AT&T is rethinking in-house legal work with OpenAI8h◆Profiling TorchNeuron (Part 1): System-level profiling on AWS Trainium.9h◆Conversational Gemini navigation comes to Apple CarPlay10h◆Granite Speech 5.0: Transcribe, Translate, and Attribute more Accurately and Faster10h◆AI promises productivity, but for managers, it’s mostly a headache for now11h◆
News/Physics-Informed Neural Network with Squeeze-Excitation-like Attention
arxiv
PublishedJune 19, 2026 at 4:00 AM
▲bullish

Physics-Informed Neural Network with Squeeze-Excitation-like Attention

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

arXiv:2606.19853v1 Announce Type: new Abstract: We introduce SEA-PINN, a novel architecture that incorporates a Squeeze-Excitation-like attention mechanism into physics-informed neural networks to dynamically recalibrate the importance of neurons across layers. A key feature of SEA-PINN is its highl

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
Mentioned models
03
  • 01
    SEA-PINN
  • 02
    FNN-PINN
  • 03
    TSA-PINN
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#physics-informed-neural-networks#machine-learning#benchmark#optimization

No replies yet. Be first.

Mentioned models
03
  • 01
    SEA-PINN
  • 02
    FNN-PINN
  • 03
    TSA-PINN
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#physics-informed-neural-networks#machine-learning#benchmark#optimization
The Bubble Brief
MON · WED · FRI

Read physics-informed-neural-networks 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