·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Spotify pulled 50 million AI slop and spam tracks from its recommendations1h◆Figma co-founder Dylan Field thinks MCP is not a perfect protocol1h◆US orders federal agencies to remove China’s DeepSeek AI from their systems2h◆Adobe Lightroom mobile can now open closed eyes in photos with a simple tap2h◆Eka is worth $1.45B thanks to a physical AI model that has experts raving2h◆AI adoption by industry shows what other sectors can learn3h◆Otter.ai raises $320 million from General Catalyst’s growth fund for its meeting tool4h◆Yelp can now call on your behalf to check wait times at a restaurant4h◆A visit to Samsung’s massive new semiconductor hub6h◆Mamdani says feds have abdicated on AI, urges New Yorkers to push back14h◆MPS in PyTorch 2.1515h◆AnyLanguageModel 1.0: One Year of Local Models on Apple Platforms15h◆Nscale and Anthropic are reportedly in talks for yet another $45B compute deal16h◆Embedded AI evaluators won’t be an easy solution, Hugging Face’s policy chief says16h◆Microsoft says AI agents are like insider threats as ‘frontier models can’t be trusted’17h◆The fossil fuel comeback is here17h◆CoreWeave’s debt is becoming the whole AI industry’s problem18h◆Amazon is taking its biggest shot at Nvidia yet with new TorchNeuron dev tool19h◆Hackers hit AI coding tool OpenCode, running up charges on users’ AI accounts20h◆Tolan snags $30M for its AI companion that helps users navigate life20h◆Spotify pulled 50 million AI slop and spam tracks from its recommendations1h◆Figma co-founder Dylan Field thinks MCP is not a perfect protocol1h◆US orders federal agencies to remove China’s DeepSeek AI from their systems2h◆Adobe Lightroom mobile can now open closed eyes in photos with a simple tap2h◆Eka is worth $1.45B thanks to a physical AI model that has experts raving2h◆AI adoption by industry shows what other sectors can learn3h◆Otter.ai raises $320 million from General Catalyst’s growth fund for its meeting tool4h◆Yelp can now call on your behalf to check wait times at a restaurant4h◆A visit to Samsung’s massive new semiconductor hub6h◆Mamdani says feds have abdicated on AI, urges New Yorkers to push back14h◆MPS in PyTorch 2.1515h◆AnyLanguageModel 1.0: One Year of Local Models on Apple Platforms15h◆Nscale and Anthropic are reportedly in talks for yet another $45B compute deal16h◆Embedded AI evaluators won’t be an easy solution, Hugging Face’s policy chief says16h◆Microsoft says AI agents are like insider threats as ‘frontier models can’t be trusted’17h◆The fossil fuel comeback is here17h◆CoreWeave’s debt is becoming the whole AI industry’s problem18h◆Amazon is taking its biggest shot at Nvidia yet with new TorchNeuron dev tool19h◆Hackers hit AI coding tool OpenCode, running up charges on users’ AI accounts20h◆Tolan snags $30M for its AI companion that helps users navigate life20h◆
News/DepthART: Scaling Foundation Monocular Depth to Tiny Models
arxiv
PublishedJuly 21, 2026 at 4:00 AM

DepthART: Scaling Foundation Monocular Depth to Tiny Models

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

arXiv:2607.17099v1 Announce Type: cross Abstract: Recent geometric foundation models (e.g., Metric3D, Depth Anything and UniDepth) have substantially improved monocular depth estimation (MDE) in both cross-scene generalization and metric-scale prediction, yet these gains have not translated to tiny

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 →
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