·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Lovable signs multiyear deal with Google Cloud to up usage 5x, source says2h◆Alphabet’s record-breaking $85B raise for Google’s AI business is a helluva good signal6h◆Google’s Dreambeans, its weirdest-named AI tool to date, will turn your life into a cartoon6h◆As AI gets better, it reveals an empty promise8h◆Amazon’s search bar will invent AI-generated products you can’t buy9h◆Amazon will show AI product images when you search for some reason9h◆These two founders left Goldman and Meta to build voice AI for markets everyone else overlooked10h◆Publishers will be able to opt out of AI Search, thanks to new regulation10h◆Microsoft and OpenAI broke up — now they’re ready to fight11h◆Meta’s AI agent for WhatsApp Business is now available globally12h◆Introducing new capabilities to GPT-Rosalind12h◆Coralogix raises $200M on bet that someone needs to watch the AI agents12h◆5 ways Google Search can level up your thrift and vintage shopping12h◆Direct Preference Optimization Beyond Chatbots12h◆How Wasmer used Codex to build a Node.js runtime for the edge13h◆OpenAI public policy agenda15h◆A blueprint for democratic governance of frontier AI15h◆AI has a water problem — Google thinks it has a fix16h◆Google must let publishers opt out of AI Search features, rules UK17h◆FederatedSkill: Federated Learning for Agentic Skill Evolution21h◆Lovable signs multiyear deal with Google Cloud to up usage 5x, source says2h◆Alphabet’s record-breaking $85B raise for Google’s AI business is a helluva good signal6h◆Google’s Dreambeans, its weirdest-named AI tool to date, will turn your life into a cartoon6h◆As AI gets better, it reveals an empty promise8h◆Amazon’s search bar will invent AI-generated products you can’t buy9h◆Amazon will show AI product images when you search for some reason9h◆These two founders left Goldman and Meta to build voice AI for markets everyone else overlooked10h◆Publishers will be able to opt out of AI Search, thanks to new regulation10h◆Microsoft and OpenAI broke up — now they’re ready to fight11h◆Meta’s AI agent for WhatsApp Business is now available globally12h◆Introducing new capabilities to GPT-Rosalind12h◆Coralogix raises $200M on bet that someone needs to watch the AI agents12h◆5 ways Google Search can level up your thrift and vintage shopping12h◆Direct Preference Optimization Beyond Chatbots12h◆How Wasmer used Codex to build a Node.js runtime for the edge13h◆OpenAI public policy agenda15h◆A blueprint for democratic governance of frontier AI15h◆AI has a water problem — Google thinks it has a fix16h◆Google must let publishers opt out of AI Search features, rules UK17h◆FederatedSkill: Federated Learning for Agentic Skill Evolution21h◆
News/A holomorphic neural network framework for 3D boundary value problems governed by harmonic potentials
arxiv
PublishedJune 1, 2026 at 4:00 AM

A holomorphic neural network framework for 3D boundary value problems governed by harmonic potentials

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

arXiv:2605.31231v1 Announce Type: cross Abstract: We present a neural-network-based framework for the solution of three-dimensional boundary value problems where the solution is expressible in terms of harmonic potentials. The approach leverages the Whittaker integral formula, which allows represent

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
arxivFederatedSkill: Federated Learning for Agentic Skill Evolution21h
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 ↗
HomeModelsNews