# vision language models (VLMs)

Published articles for vision language models (VLMs).

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## A better way to turn 2D designs into 3D models for rapid prototyping

DevFeed: [A better way to turn 2D designs into 3D models for rapid prototyping](<https://devfeed.tech/articles/a-better-way-to-turn-2d-designs-into-3d-models-for-rapid-prototyping-37984.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/turning-2d-designs-into-3d-models-for-rapid-prototyping-0716>)

Author: Adam Zewe | MIT News

Published: 2026-07-16T04:00:00Z

Content type: news

Language: en

Sources: [MIT AI News](<https://devfeed.tech/sources/mit-ai-news.md>)

Topics: [3D](<https://devfeed.tech/topics/3d.md>), [vlm](<https://devfeed.tech/topics/vlm.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI Development](<https://devfeed.tech/topics/ai-development.md>), [Computing](<https://devfeed.tech/topics/computing.md>), [coding](<https://devfeed.tech/topics/coding.md>)

Tags: [3d](<https://devfeed.tech/tags/3d.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-models](<https://devfeed.tech/tags/ai-models.md>), [algorithms](<https://devfeed.tech/tags/algorithms.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [automated](<https://devfeed.tech/tags/automated.md>), [computer-aided-design-cad](<https://devfeed.tech/tags/computer-aided-design-cad.md>), [computer-modeling](<https://devfeed.tech/tags/computer-modeling.md>), [computer-science-and-technology](<https://devfeed.tech/tags/computer-science-and-technology.md>), [computing](<https://devfeed.tech/tags/computing.md>), [design](<https://devfeed.tech/tags/design.md>), [efficiently](<https://devfeed.tech/tags/efficiently.md>), [faez-ahmed](<https://devfeed.tech/tags/faez-ahmed.md>), [generation](<https://devfeed.tech/tags/generation.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [geometric-inference-feedback-tuning-gift](<https://devfeed.tech/tags/geometric-inference-feedback-tuning-gift.md>), [giorgio-giannone](<https://devfeed.tech/tags/giorgio-giannone.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [mechanical-engineering](<https://devfeed.tech/tags/mechanical-engineering.md>), [mit-ibm-computing-research-lab](<https://devfeed.tech/tags/mit-ibm-computing-research-lab.md>), [mit-schwarzman-college-of-computing](<https://devfeed.tech/tags/mit-schwarzman-college-of-computing.md>), [performance](<https://devfeed.tech/tags/performance.md>), [rapid-prototyping](<https://devfeed.tech/tags/rapid-prototyping.md>), [research](<https://devfeed.tech/tags/research.md>), [school-of-engineering](<https://devfeed.tech/tags/school-of-engineering.md>), [systems-design](<https://devfeed.tech/tags/systems-design.md>), [vision-language-models-vlms](<https://devfeed.tech/tags/vision-language-models-vlms.md>)

### AI overview

Researchers developed an automated framework that teaches vision-language models to convert 2D designs into more accurate and functional CAD programs while using less computation. The system turns model failures into training data to improve CAD generation and support rapid prototyping.

### Source excerpt

Researchers developed an automated framework that helps AI models generate CAD programs more accurately and efficiently.

## SceneSmith uses collaborative AI agents to create 3D environments for robot training

DevFeed: [SceneSmith uses collaborative AI agents to create 3D environments for robot training](<https://devfeed.tech/articles/ai-agents-create-virtual-playgrounds-to-help-robots-get-crucial-training-data-37940.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/ai-agents-create-virtual-playgrounds-to-help-robots-get-crucial-training-data-0713>)

Author: Alex Shipps | MIT CSAIL

Published: 2026-07-13T18:50:00Z

Content type: news

Language: en

Sources: [MIT AI News](<https://devfeed.tech/sources/mit-ai-news.md>)

Topics: [AI research agents](<https://devfeed.tech/topics/ai-research-agents.md>), [robot grasping simulation](<https://devfeed.tech/topics/robot-grasping-simulation.md>), [Simulation](<https://devfeed.tech/topics/simulation.md>), [vlm](<https://devfeed.tech/topics/vlm.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Computer Science and Artificial Intelligence Laboratory (CSAIL)](<https://devfeed.tech/topics/computer-science-and-artificial-intelligence-laboratory-csail.md>)

Tags: [3-d](<https://devfeed.tech/tags/3-d.md>), [3d](<https://devfeed.tech/tags/3d.md>), [adversarial-machine-learning](<https://devfeed.tech/tags/adversarial-machine-learning.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [computer-science-and-artificial-intelligence-laboratory-csail](<https://devfeed.tech/tags/computer-science-and-artificial-intelligence-laboratory-csail.md>), [computer-science-and-technology](<https://devfeed.tech/tags/computer-science-and-technology.md>), [electrical-engineering-and-computer-science-eecs](<https://devfeed.tech/tags/electrical-engineering-and-computer-science-eecs.md>), [foundation-models](<https://devfeed.tech/tags/foundation-models.md>), [general-purpose-robotics](<https://devfeed.tech/tags/general-purpose-robotics.md>), [gpt-5-2](<https://devfeed.tech/tags/gpt-5-2.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [mit-csail](<https://devfeed.tech/tags/mit-csail.md>), [mit-eecs](<https://devfeed.tech/tags/mit-eecs.md>), [mit-schwarzman-college-of-computing](<https://devfeed.tech/tags/mit-schwarzman-college-of-computing.md>), [national-science-foundation-nsf](<https://devfeed.tech/tags/national-science-foundation-nsf.md>), [nicholas-pfaff](<https://devfeed.tech/tags/nicholas-pfaff.md>), [research](<https://devfeed.tech/tags/research.md>), [robot-simulations](<https://devfeed.tech/tags/robot-simulations.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [robots](<https://devfeed.tech/tags/robots.md>), [russ-tedrake](<https://devfeed.tech/tags/russ-tedrake.md>), [scene-generation](<https://devfeed.tech/tags/scene-generation.md>), [scenesmith](<https://devfeed.tech/tags/scenesmith.md>), [school-of-engineering](<https://devfeed.tech/tags/school-of-engineering.md>), [simulation](<https://devfeed.tech/tags/simulation.md>), [simulation-ready-indoor-scenes](<https://devfeed.tech/tags/simulation-ready-indoor-scenes.md>), [virtual-playgrounds](<https://devfeed.tech/tags/virtual-playgrounds.md>), [vision-language-models-vlms](<https://devfeed.tech/tags/vision-language-models-vlms.md>), [zero-shot-policy](<https://devfeed.tech/tags/zero-shot-policy.md>)

### AI overview

MIT CSAIL and Toyota Research Institute researchers developed SceneSmith, a system that uses three collaborative AI agents to create realistic 3D environments for robot training. The scenes can be loaded into physics simulation software, allowing robots to practice tasks before real-world testing.

### Source excerpt

"SceneSmith" system uses collaborative AI agents to create realistic 3D environments of places like kitchens, hotels, and living rooms, where robots can simulate everyday chores.

## How novice coders can develop AI programs for military applications

DevFeed: [How novice coders can develop AI programs for military applications](<https://devfeed.tech/articles/how-novice-coders-can-develop-ai-programs-for-military-applications-37957.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/how-novice-coders-can-develop-ai-programs-for-military-applications-0707>)

Author: Haley Wahl | MIT Lincoln Laboratory

Published: 2026-07-07T17:25:00Z

Content type: article

Language: en

Sources: [MIT AI News](<https://devfeed.tech/sources/mit-ai-news.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Vibe coding](<https://devfeed.tech/topics/vibe-coding.md>), [AI Development](<https://devfeed.tech/topics/ai-development.md>), [AI Chat](<https://devfeed.tech/topics/ai-chat.md>), [Language models](<https://devfeed.tech/topics/language-models.md>), [Software Engineering](<https://devfeed.tech/topics/software-engineering.md>), [Development](<https://devfeed.tech/topics/development.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-and-military](<https://devfeed.tech/tags/ai-and-military.md>), [ai-assisted-target-recognition](<https://devfeed.tech/tags/ai-assisted-target-recognition.md>), [ai-chatbots](<https://devfeed.tech/tags/ai-chatbots.md>), [ai-programming](<https://devfeed.tech/tags/ai-programming.md>), [ai-writing-software](<https://devfeed.tech/tags/ai-writing-software.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [autonomous-striking](<https://devfeed.tech/tags/autonomous-striking.md>), [battlefield-communications](<https://devfeed.tech/tags/battlefield-communications.md>), [chatbots](<https://devfeed.tech/tags/chatbots.md>), [chatgpt](<https://devfeed.tech/tags/chatgpt.md>), [claude](<https://devfeed.tech/tags/claude.md>), [coding](<https://devfeed.tech/tags/coding.md>), [computer-science-and-technology](<https://devfeed.tech/tags/computer-science-and-technology.md>), [daf-mit-ai-accelerator-phantom-program](<https://devfeed.tech/tags/daf-mit-ai-accelerator-phantom-program.md>), [gemini-llm](<https://devfeed.tech/tags/gemini-llm.md>), [google-ai-studio-app](<https://devfeed.tech/tags/google-ai-studio-app.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [laura-niss](<https://devfeed.tech/tags/laura-niss.md>), [lincoln-laboratory](<https://devfeed.tech/tags/lincoln-laboratory.md>), [military-ai](<https://devfeed.tech/tags/military-ai.md>), [mit-lincoln-laboratory](<https://devfeed.tech/tags/mit-lincoln-laboratory.md>), [novice-coders](<https://devfeed.tech/tags/novice-coders.md>), [programming](<https://devfeed.tech/tags/programming.md>), [remote-operating-modular-augmentation-device-romad-ai](<https://devfeed.tech/tags/remote-operating-modular-augmentation-device-romad-ai.md>), [research](<https://devfeed.tech/tags/research.md>), [security-and-military-studies](<https://devfeed.tech/tags/security-and-military-studies.md>), [software](<https://devfeed.tech/tags/software.md>), [software-development](<https://devfeed.tech/tags/software-development.md>), [u-s-armed-forces](<https://devfeed.tech/tags/u-s-armed-forces.md>), [vibe-coding](<https://devfeed.tech/tags/vibe-coding.md>), [vision-language-models-vlms](<https://devfeed.tech/tags/vision-language-models-vlms.md>)

### AI overview

A U.S. Air Force cadet with no coding experience used generative AI chatbots and a process called vibe-coding to develop a military application. The project examined whether nontechnical service members could create useful software for military problems.

### Source excerpt

A USAF cadet and a Lincoln Laboratory researcher found AI chatbots can help nontechnical service members produce viable software applications for their unique problems.