Latest updates for Vision-Language Models

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Recent items include:

  • Vision LLMs are PDF Parsers Too: Reading Charts and Diagrams for RAG
  • This new AI model thinks in images, not just words
  • A Guide to Choosing a Computer Vision Development Company in 2026

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towardsdatascience.com /1 month ago

Vision LLMs are PDF Parsers Too: Reading Charts and Diagrams for RAG

Enterprise Document Intelligence [Vol.1 #5quater] - The other parsers read the words on a page. A vision model also reads the pictures The post Vision LLMs are PDF Parsers Too: Rea...

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fastcompany.com /3 days ago

This new AI model thinks in images, not just words

For almost a decade, AI researchers have been obsessed with one kind of artificial intelligence—large language models (LLMs), which they train to write, talk, and reason using word...

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retail-focus.co.uk /3 days ago

A Guide to Choosing a Computer Vision Development Company in 2026

NVIDIA recently introduced a new vision language model (VLM) that enables AI systems to identify and localize objects. Apple has also upgraded Siri with stronger screen awareness,...

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medium.com /1 month ago

Algo(31/40)Real-World Perception & Action: Pixels, Boxes & Trust (2015)

By 2015, Neural Networks were excellent at saying “This is a cat.” But in the real world, that isn’t enough. A self-driving car needs to…Continue reading on Medium »

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simplilearn.com /1 month ago

The Power of Computer Vision in AI: Unlocking the Future! | Simplilearn

Human vision extends beyond the mere function of our eyes; it encompasses our abstract understanding of concepts and personal experiences gained through countless interactions with...

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habr.com /1 month ago

Как Vision-Language Models учатся работать с 3D-миром

Привет, Хабр! Сегодня поговорим о том, как роботы работают с предметами в реальной жизни. Современные роботы умеют выполнять множество простых операций, но терпят катастрофический...

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journals.plos.org /1 month ago

MIRAGE: Robust multi-modal architectures translate fMRI-to-image models from vision to mental imagery

by Reese Kneeland, Cesar Kadir Torrico Villanueva, Tong Chen, Jordyn Ojeda, Shubh Khanna, Jonathan Xu, Paul S. Scotti, Thomas Naselaris To be useful for downstream applications, v...

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journals.plos.org /1 month ago

Hierarchical recurrent temporal prediction as a model of the mammalian dorsal visual pathway

by Sebastian Klavinskis-Whiting, Andrew J. King, Nicol S. Harper A major goal of neuroscience is to identify general principles that can explain the diverse structures and functio...

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robohub.org /3 weeks ago

AI brings object-level vision prosthetics closer to reality

Image credit: By Jeff Dahl – Own work by uploader, Based on the public domain document: [1], CC BY-SA 3.0, Link By Stephanie Parker This research from the NeuroAI Lab of Martin Sch...

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medium.com /2 weeks ago

VisionRAG: Read PDFs Without OCR

Some PDFs are easy for RAG systems.Continue reading on Medium »

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pandaily.com /1 week ago

Embodied AI's Spatial Vision Achilles' Heel Finally Solved: CMG Lab's IROS 2026 Breakthrough

China Merchants Group's LionRock AI Lab identifies and solves VLA shortcut learning with Hybrid Dynamic Data Collection, accepted at IROS 2026.

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marktechpost.com /1 month ago

Zyphra Release Zamba2-VL: Hybrid Mamba2–Transformer Vision-Language Models That Cut Time-to-First-Token by About an Orde...

Zyphra has released Zamba2-VL, a family of open vision-language models at 1.2B, 2.7B, and 7B parameters. The models use a hybrid Mamba2 state-space and Transformer backbone, shippi...

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towardsdatascience.com /1 month ago

Is Language Visual? An Experiment with Chinese Characters

A story about a broken printer, visual inductive bias, and why the race endedin a tie. The post Is Language Visual? An Experiment with Chinese Characters appeared first on Towards...

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pandaily.com /1 month ago

Zhejiang University Team Creates Visual Reasoning System That Lets Robots 'Think With Their Eyes' — 22x Faster Than Text

Zhejiang University Team Creates Visual Reasoning System That Lets Robots 'Think With Their Eyes' — 22x Faster Than Text Researchers at Zhejiang University, in collaboration with...

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dev.to /1 week ago

48,000 characters in 2,700 tokens: lets discuss how LLMs read text as images

In late December 2025, I discovered (as well as many others) a small open-source project called pxpipe that started trending on GitHub with a claim that sounds like a billing error...

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machinelearningmastery.com /1 month ago

Multimodal Browser AI with Transformers.js for Images and Speech

Most browser AI tutorials cover text because it is a natural starting point, but the applications people actually want to build are rarely text-only.

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news.mit.edu /1 day ago

How visual learning happens in the brain

Scientists find that learning to identify a new object subtly reshapes visual processing in the brain.

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news.mit.edu /1 month ago

MIT researchers teach AI models to interpret charts

The new ChartNet training dataset could improve the accuracy of vision-language models that help analyze business trends or interpret scientific figures.

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marktechpost.com /1 week ago

Robbyant Releases LingBot-VLA 2.0: An Open-Source 6B Vision-Language-Action (VLA) Model for Cross-Embodiment Robot Manip...

Ant Group's Robbyant has released LingBot-VLA 2.0, an Apache-2.0 vision-language-action model for cross-embodiment robot manipulation. The 6B checkpoint is pretrained on roughly 60...

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marktechpost.com /1 week ago

Ant Group’s Robbyant Open-Sources LingBot-Vision: A 1B Boundary-Centric Vision Foundation Model for Dense Spatial Percep...

Ant Group's Robbyant open-sourced LingBot-Vision, a self-supervised ViT family for dense spatial perception. Masked boundary modeling makes image boundaries a native training signa...

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kdnuggets.com /3 weeks ago

5 Open Source Omni AI Models That Handle Text, Images, Audio, and Video

Take a practical look at multimodal, any-to-any systems for vision-language reasoning, speech interaction, document intelligence, real-time assistants, local deployment.

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kittl.com /3 weeks ago

Kittl Review : Ideogram 4

1. Summary Ideogram 4 is the first open-weight frontier image model built for design, a 9.3B parameter DiT trained from scratch with structured JSON prompting, bounding-box layout...

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aws.amazon.com /1 month ago

Multimodal evaluators: MLLM-as-a-judge for image-to-text tasks in Strands Evals

If you’re building visual shopping, image or document understanding, or chart analysis, you need a way to verify whether your model’s response is actually grounded in the source im...

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medium.com /1 month ago

Fluent in Language, Blind to Letters

Yesterday, a viral post showed someone asking Claude Opus 4.8 — one of the most capable AI models ever built — a simple question:Continue reading on Medium »

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habr.com

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medium.com

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