# MIT CSAIL

Published articles for MIT CSAIL.

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## When AI art has no author: Study finds generated images often can't be traced to training data

DevFeed: [When AI art has no author: Study finds generated images often can't be traced to training data](<https://devfeed.tech/articles/when-ai-art-has-no-author-study-finds-generated-images-often-can-t-be-traced-to-training-data-37986.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/when-ai-art-has-no-author-generated-images-often-cant-be-traced-to-training-data-0818>)

Author: Rachel Gordon | MIT CSAIL

Published: 2026-08-18T16:35:00Z

Content type: news

Language: en

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

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

Tags: [ablation](<https://devfeed.tech/tags/ablation.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-and-copyright-law](<https://devfeed.tech/tags/ai-and-copyright-law.md>), [ai-generated-images](<https://devfeed.tech/tags/ai-generated-images.md>), [ai-governance](<https://devfeed.tech/tags/ai-governance.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [arts](<https://devfeed.tech/tags/arts.md>), [arts-technology-and-society](<https://devfeed.tech/tags/arts-technology-and-society.md>), [attribution-decay](<https://devfeed.tech/tags/attribution-decay.md>), [causal-inference](<https://devfeed.tech/tags/causal-inference.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>), [counterfactual-analysis](<https://devfeed.tech/tags/counterfactual-analysis.md>), [counterfactual-radius](<https://devfeed.tech/tags/counterfactual-radius.md>), [data](<https://devfeed.tech/tags/data.md>), [data-attribution](<https://devfeed.tech/tags/data-attribution.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [david-gifford](<https://devfeed.tech/tags/david-gifford.md>), [diffusion-ensembles](<https://devfeed.tech/tags/diffusion-ensembles.md>), [electrical-engineering-and-computer-science-eecs](<https://devfeed.tech/tags/electrical-engineering-and-computer-science-eecs.md>), [ethics](<https://devfeed.tech/tags/ethics.md>), [generative-ai-images](<https://devfeed.tech/tags/generative-ai-images.md>), [generative-diffusion-models](<https://devfeed.tech/tags/generative-diffusion-models.md>), [image-similarity-metrics](<https://devfeed.tech/tags/image-similarity-metrics.md>), [images](<https://devfeed.tech/tags/images.md>), [law](<https://devfeed.tech/tags/law.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [machine-unlearning](<https://devfeed.tech/tags/machine-unlearning.md>), [mit-csail](<https://devfeed.tech/tags/mit-csail.md>), [mit-schwarzman-college-of-computing](<https://devfeed.tech/tags/mit-schwarzman-college-of-computing.md>), [model](<https://devfeed.tech/tags/model.md>), [model-interpretability](<https://devfeed.tech/tags/model-interpretability.md>), [paper](<https://devfeed.tech/tags/paper.md>), [privacy-preserving-machine-learning](<https://devfeed.tech/tags/privacy-preserving-machine-learning.md>), [research](<https://devfeed.tech/tags/research.md>), [school-of-engineering](<https://devfeed.tech/tags/school-of-engineering.md>), [science](<https://devfeed.tech/tags/science.md>), [technology-and-policy](<https://devfeed.tech/tags/technology-and-policy.md>), [technology-and-society](<https://devfeed.tech/tags/technology-and-society.md>), [training-data-attribution](<https://devfeed.tech/tags/training-data-attribution.md>), [training-data-influence](<https://devfeed.tech/tags/training-data-influence.md>), [zheng-dai](<https://devfeed.tech/tags/zheng-dai.md>)

### AI overview

MIT CSAIL researchers describe attribution decay, a phenomenon in which the influence of individual training examples on a generative model's outputs diminishes as datasets grow. Their method removes training examples and retrains models to test whether generated samples change.

### Source excerpt

A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.

## GeoPT helps AI models simulate how objects respond to physical forces

DevFeed: [GeoPT helps AI models simulate how objects respond to physical forces](<https://devfeed.tech/articles/with-a-feel-for-physics-ai-models-simulate-a-wider-range-of-real-world-scenarios-37942.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/ai-models-simulate-wider-range-of-real-world-scenarios-0810>)

Author: Alex Shipps | MIT CSAIL

Published: 2026-08-10T19:25:00Z

Content type: news

Language: en

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

Topics: [AI Models](<https://devfeed.tech/topics/ai-models.md>), [Simulation](<https://devfeed.tech/topics/simulation.md>), [AI Research](<https://devfeed.tech/topics/ai-research.md>), [Computer Science and Artificial Intelligence Laboratory (CSAIL)](<https://devfeed.tech/topics/computer-science-and-artificial-intelligence-laboratory-csail.md>), [Robotics](<https://devfeed.tech/topics/robotics.md>)

Tags: [3-d-imaging](<https://devfeed.tech/tags/3-d-imaging.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-models](<https://devfeed.tech/tags/ai-models.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [computational-fluid-dynamics-cfd](<https://devfeed.tech/tags/computational-fluid-dynamics-cfd.md>), [computer-graphics](<https://devfeed.tech/tags/computer-graphics.md>), [computer-modeling](<https://devfeed.tech/tags/computer-modeling.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>), [crash-simulation](<https://devfeed.tech/tags/crash-simulation.md>), [design](<https://devfeed.tech/tags/design.md>), [electrical-engineering-and-computer-science-eecs](<https://devfeed.tech/tags/electrical-engineering-and-computer-science-eecs.md>), [geometric-pre-training](<https://devfeed.tech/tags/geometric-pre-training.md>), [geopt](<https://devfeed.tech/tags/geopt.md>), [haixu-wu](<https://devfeed.tech/tags/haixu-wu.md>), [human-computer-interaction](<https://devfeed.tech/tags/human-computer-interaction.md>), [kaiming-he](<https://devfeed.tech/tags/kaiming-he.md>), [manufacturing](<https://devfeed.tech/tags/manufacturing.md>), [minghao-guo](<https://devfeed.tech/tags/minghao-guo.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>), [neural-physics-simulation](<https://devfeed.tech/tags/neural-physics-simulation.md>), [paper](<https://devfeed.tech/tags/paper.md>), [physics](<https://devfeed.tech/tags/physics.md>), [physics-aware-ai](<https://devfeed.tech/tags/physics-aware-ai.md>), [physics-foundation-models](<https://devfeed.tech/tags/physics-foundation-models.md>), [research](<https://devfeed.tech/tags/research.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [school-of-engineering](<https://devfeed.tech/tags/school-of-engineering.md>), [self-supervised-learning](<https://devfeed.tech/tags/self-supervised-learning.md>), [simulation](<https://devfeed.tech/tags/simulation.md>), [surrogate-modeling](<https://devfeed.tech/tags/surrogate-modeling.md>), [synthetic-dynamics](<https://devfeed.tech/tags/synthetic-dynamics.md>), [transformer-based-simulators](<https://devfeed.tech/tags/transformer-based-simulators.md>), [wojciech-matusik](<https://devfeed.tech/tags/wojciech-matusik.md>)

### AI overview

Researchers at MIT CSAIL and Tsinghua University developed GeoPT, a pre-training approach that uses 3D simulations of mechanical interactions to help AI models learn physics more efficiently. The article reports that models using the approach reached peak performance twice as fast and trained on up to 60 percent less data than leading models.

### Source excerpt

"GeoPT" helps AI models understand the basics of physics so they can simulate how objects respond to things like wind and water more efficiently and accurately.

## 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.

## Tiny robot boats build floating structures

DevFeed: [Tiny robot boats build floating structures](<https://devfeed.tech/articles/tiny-robot-boats-build-floating-structures-37983.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/tiny-robot-boats-build-floating-structures-0709>)

Author: Rachel Gordon | MIT CSAIL

Published: 2026-07-09T15:50:00Z

Content type: news

Language: en

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

Topics: [Robotics](<https://devfeed.tech/topics/robotics.md>), [Computer Science and Artificial Intelligence Laboratory (CSAIL)](<https://devfeed.tech/topics/computer-science-and-artificial-intelligence-laboratory-csail.md>), [Computer science](<https://devfeed.tech/topics/computer-science.md>)

Tags: [alejandro-gonzalez-garcia](<https://devfeed.tech/tags/alejandro-gonzalez-garcia.md>), [aquatic-robots](<https://devfeed.tech/tags/aquatic-robots.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [autonomous-vehicles](<https://devfeed.tech/tags/autonomous-vehicles.md>), [bioinspiration](<https://devfeed.tech/tags/bioinspiration.md>), [cities](<https://devfeed.tech/tags/cities.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>), [daniela-rus](<https://devfeed.tech/tags/daniela-rus.md>), [electrical-engineering-and-computer-science-eecs](<https://devfeed.tech/tags/electrical-engineering-and-computer-science-eecs.md>), [fire-ants](<https://devfeed.tech/tags/fire-ants.md>), [floatform](<https://devfeed.tech/tags/floatform.md>), [floating-infrastructure](<https://devfeed.tech/tags/floating-infrastructure.md>), [hybrid-coordination](<https://devfeed.tech/tags/hybrid-coordination.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.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>), [mit-sea-grant](<https://devfeed.tech/tags/mit-sea-grant.md>), [mit-sea-grant-program](<https://devfeed.tech/tags/mit-sea-grant-program.md>), [mit-senseable-city-lab](<https://devfeed.tech/tags/mit-senseable-city-lab.md>), [modular-robotic-boats](<https://devfeed.tech/tags/modular-robotic-boats.md>), [modular-self-reconfigurable-robots](<https://devfeed.tech/tags/modular-self-reconfigurable-robots.md>), [niklas-hagemann](<https://devfeed.tech/tags/niklas-hagemann.md>), [nonlinear-hydrodynamics](<https://devfeed.tech/tags/nonlinear-hydrodynamics.md>), [raft](<https://devfeed.tech/tags/raft.md>), [research](<https://devfeed.tech/tags/research.md>), [robot-boats](<https://devfeed.tech/tags/robot-boats.md>), [robot-self-assembly](<https://devfeed.tech/tags/robot-self-assembly.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [robots](<https://devfeed.tech/tags/robots.md>), [school-of-architecture-and-planning](<https://devfeed.tech/tags/school-of-architecture-and-planning.md>), [school-of-engineering](<https://devfeed.tech/tags/school-of-engineering.md>), [science](<https://devfeed.tech/tags/science.md>), [self-reconfiguration](<https://devfeed.tech/tags/self-reconfiguration.md>), [senseable-city-lab](<https://devfeed.tech/tags/senseable-city-lab.md>), [snap](<https://devfeed.tech/tags/snap.md>), [swarm](<https://devfeed.tech/tags/swarm.md>), [swarm-robots](<https://devfeed.tech/tags/swarm-robots.md>), [tiny](<https://devfeed.tech/tags/tiny.md>), [transportation](<https://devfeed.tech/tags/transportation.md>), [ultrasonic-beacon-system](<https://devfeed.tech/tags/ultrasonic-beacon-system.md>), [urban-studies-and-planning](<https://devfeed.tech/tags/urban-studies-and-planning.md>), [water](<https://devfeed.tech/tags/water.md>), [wei-wang](<https://devfeed.tech/tags/wei-wang.md>)

### AI overview

MIT researchers developed FloatForm, a swarm of small robotic boats that can assemble into reconfigurable structures on the water and later break apart and reassemble into new configurations with minimal human direction.

### Source excerpt

MIT researchers developed FloatForm, a swarm of small aquatic robots that snap together like ants forming a raft, assembling into reconfigurable structures on the water.