# Computer Science and Artificial Intelligence Laboratory (CSAIL)

Published articles for Computer Science and Artificial Intelligence Laboratory (CSAIL).

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## New AI technique could make minimally invasive surgeries safer and more precise

DevFeed: [New AI technique could make minimally invasive surgeries safer and more precise](<https://devfeed.tech/articles/new-ai-technique-could-make-minimally-invasive-surgeries-safer-and-more-precise-37973.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/new-ai-technique-could-make-minimally-invasive-surgeries-safer-more-precise-0916>)

Author: Adam Zewe | MIT News

Published: 2026-09-16T15:00:00Z

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>), [3D](<https://devfeed.tech/topics/3d.md>), [navigation](<https://devfeed.tech/topics/navigation.md>)

Tags: [3d](<https://devfeed.tech/tags/3d.md>), [ai](<https://devfeed.tech/tags/ai.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>), [computer-vision](<https://devfeed.tech/tags/computer-vision.md>), [electrical-engineering-and-computer-science-eecs](<https://devfeed.tech/tags/electrical-engineering-and-computer-science-eecs.md>), [health-care](<https://devfeed.tech/tags/health-care.md>), [images](<https://devfeed.tech/tags/images.md>), [imaging](<https://devfeed.tech/tags/imaging.md>), [jameel-clinic](<https://devfeed.tech/tags/jameel-clinic.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [medical-devices](<https://devfeed.tech/tags/medical-devices.md>), [medical-imaging](<https://devfeed.tech/tags/medical-imaging.md>), [minimally-invasive-surgery](<https://devfeed.tech/tags/minimally-invasive-surgery.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>), [model](<https://devfeed.tech/tags/model.md>), [national-institutes-of-health-nih](<https://devfeed.tech/tags/national-institutes-of-health-nih.md>), [navigation](<https://devfeed.tech/tags/navigation.md>), [paper](<https://devfeed.tech/tags/paper.md>), [polina-golland](<https://devfeed.tech/tags/polina-golland.md>), [precision](<https://devfeed.tech/tags/precision.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [research](<https://devfeed.tech/tags/research.md>), [school-of-engineering](<https://devfeed.tech/tags/school-of-engineering.md>), [vision](<https://devfeed.tech/tags/vision.md>), [vivek-gopalakrishnan](<https://devfeed.tech/tags/vivek-gopalakrishnan.md>)

### AI overview

MIT researchers and collaborators developed xvr, an AI method that adapts to individual patients and rapidly aligns intraoperative X-rays with preoperative 3D medical scans. The technique is intended to improve surgical navigation for minimally invasive procedures.

### Source excerpt

This patient-specific method, called xvr, helps doctors use X-rays for surgical navigation in fields such as orthopedics and neurosurgery.

## From MIT to IBM, expediting AI and quantum deployment

DevFeed: [From MIT to IBM, expediting AI and quantum deployment](<https://devfeed.tech/articles/from-mit-to-ibm-expediting-ai-and-quantum-deployment-37952.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/from-mit-to-ibm-expediting-ai-and-quantum-deployment-0902>)

Author: Lauren Hinkel | MIT-IBM Computing Research Lab

Published: 2026-09-02T20:25:00Z

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>), [ibm](<https://devfeed.tech/topics/ibm.md>), [Reinforcement learning](<https://devfeed.tech/topics/reinforcement-learning.md>), [Computing](<https://devfeed.tech/topics/computing.md>), [LLMs](<https://devfeed.tech/topics/llms.md>)

Tags: [academic](<https://devfeed.tech/tags/academic.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [algorithms](<https://devfeed.tech/tags/algorithms.md>), [alumni-ae](<https://devfeed.tech/tags/alumni-ae.md>), [aram-harrow](<https://devfeed.tech/tags/aram-harrow.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [atari-games](<https://devfeed.tech/tags/atari-games.md>), [careers](<https://devfeed.tech/tags/careers.md>), [collaboration](<https://devfeed.tech/tags/collaboration.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>), [computing](<https://devfeed.tech/tags/computing.md>), [data](<https://devfeed.tech/tags/data.md>), [electrical-engineering-and-computer-science-eecs](<https://devfeed.tech/tags/electrical-engineering-and-computer-science-eecs.md>), [fair-ai](<https://devfeed.tech/tags/fair-ai.md>), [graduate-postdoctoral](<https://devfeed.tech/tags/graduate-postdoctoral.md>), [graduate-students](<https://devfeed.tech/tags/graduate-students.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [industry](<https://devfeed.tech/tags/industry.md>), [irene-ko](<https://devfeed.tech/tags/irene-ko.md>), [isaac-chuang](<https://devfeed.tech/tags/isaac-chuang.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [learning](<https://devfeed.tech/tags/learning.md>), [luca-daniel](<https://devfeed.tech/tags/luca-daniel.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [mit-ibm-computing-research-lab](<https://devfeed.tech/tags/mit-ibm-computing-research-lab.md>), [mit-ibm-watson-ai-lab](<https://devfeed.tech/tags/mit-ibm-watson-ai-lab.md>), [mit-schwarzman-college-of-computing](<https://devfeed.tech/tags/mit-schwarzman-college-of-computing.md>), [pulkit-agrawal](<https://devfeed.tech/tags/pulkit-agrawal.md>), [quantum-computing](<https://devfeed.tech/tags/quantum-computing.md>), [quantum-machine-learning](<https://devfeed.tech/tags/quantum-machine-learning.md>), [research](<https://devfeed.tech/tags/research.md>), [school-of-engineering](<https://devfeed.tech/tags/school-of-engineering.md>), [srinivasan-arunachalam](<https://devfeed.tech/tags/srinivasan-arunachalam.md>), [trustworthy-ai](<https://devfeed.tech/tags/trustworthy-ai.md>), [vllm-hook](<https://devfeed.tech/tags/vllm-hook.md>), [zhang-wei-hong](<https://devfeed.tech/tags/zhang-wei-hong.md>)

### AI overview

MIT graduate students and a former postdoc who moved to IBM describe how work with the MIT-IBM Computing Research Lab helped translate rigorous research into industry applications. Their areas include quantum machine learning, reinforcement learning, AI agents, and trustworthy and fair AI.

### Source excerpt

MIT affiliates engage with the MIT-IBM Computing Research Lab to bring rigorous theory to production systems.

## System helps humans predict when self-driving cars will make mistakes

DevFeed: [System helps humans predict when self-driving cars will make mistakes](<https://devfeed.tech/articles/system-helps-humans-predict-when-self-driving-cars-will-make-mistakes-37982.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/system-helps-humans-predict-when-self-driving-cars-will-make-mistakes-0902>)

Author: Adam Zewe | MIT News

Published: 2026-09-02T15:00:00Z

Content type: news

Language: en

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

Topics: [autonomous vehicles](<https://devfeed.tech/topics/autonomous-vehicles.md>), [Deep learning](<https://devfeed.tech/topics/deep-learning.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Robotics](<https://devfeed.tech/topics/robotics.md>), [Simulation](<https://devfeed.tech/topics/simulation.md>), [Computer science](<https://devfeed.tech/topics/computer-science.md>)

Tags: [aeronautical-and-astronautical-engineering](<https://devfeed.tech/tags/aeronautical-and-astronautical-engineering.md>), [ai](<https://devfeed.tech/tags/ai.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [autonomous-vehicles](<https://devfeed.tech/tags/autonomous-vehicles.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>), [concept-wrapper-network](<https://devfeed.tech/tags/concept-wrapper-network.md>), [cw-net](<https://devfeed.tech/tags/cw-net.md>), [deep](<https://devfeed.tech/tags/deep.md>), [electrical-engineering-and-computer-science-eecs](<https://devfeed.tech/tags/electrical-engineering-and-computer-science-eecs.md>), [eoin-kenny](<https://devfeed.tech/tags/eoin-kenny.md>), [human-computer-interaction](<https://devfeed.tech/tags/human-computer-interaction.md>), [julie-shah](<https://devfeed.tech/tags/julie-shah.md>), [laura-major](<https://devfeed.tech/tags/laura-major.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [mit-schwarzman-college-of-computing](<https://devfeed.tech/tags/mit-schwarzman-college-of-computing.md>), [momchil-tomov](<https://devfeed.tech/tags/momchil-tomov.md>), [motional](<https://devfeed.tech/tags/motional.md>), [research](<https://devfeed.tech/tags/research.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [safety](<https://devfeed.tech/tags/safety.md>), [school-of-engineering](<https://devfeed.tech/tags/school-of-engineering.md>), [self-driving](<https://devfeed.tech/tags/self-driving.md>), [self-driving-cars](<https://devfeed.tech/tags/self-driving-cars.md>), [simulation](<https://devfeed.tech/tags/simulation.md>), [transparency](<https://devfeed.tech/tags/transparency.md>)

### AI overview

MIT and Motional researchers developed CW-Net, a method that translates an autonomous vehicle's deep-learning decisions into understandable concepts. Tests found that the explanations helped safety drivers and nonexpert users better predict vehicle behavior.

### Source excerpt

A new method, called CW-Net, translates the reasoning process of an autonomous vehicle's AI system into understandable concepts that explain its behavior.

## How an MIT research project became a global programming language

DevFeed: [How an MIT research project became a global programming language](<https://devfeed.tech/articles/how-an-mit-research-project-became-a-global-programming-language-37956.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/how-mit-research-project-became-global-programming-language-0831>)

Author: Zach Winn | MIT News

Published: 2026-08-31T04:00:00Z

Content type: news

Language: en

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

Topics: [The Julia Language](<https://devfeed.tech/topics/julia.md>), [Programming language](<https://devfeed.tech/topics/programming-language.md>), [Data Science](<https://devfeed.tech/topics/data-science.md>), [Complex Systems](<https://devfeed.tech/topics/complex-systems.md>), [Data analysis](<https://devfeed.tech/topics/data-analysis.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-platform](<https://devfeed.tech/tags/ai-platform.md>), [alan-edelman](<https://devfeed.tech/tags/alan-edelman.md>), [analysis](<https://devfeed.tech/tags/analysis.md>), [applications](<https://devfeed.tech/tags/applications.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [chris-rackauckas](<https://devfeed.tech/tags/chris-rackauckas.md>), [complex-systems](<https://devfeed.tech/tags/complex-systems.md>), [computer-science-and-artificial-intelligence-laboratory-csail](<https://devfeed.tech/tags/computer-science-and-artificial-intelligence-laboratory-csail.md>), [deshpande-center](<https://devfeed.tech/tags/deshpande-center.md>), [jeff-bezanson](<https://devfeed.tech/tags/jeff-bezanson.md>), [julia-programming-language](<https://devfeed.tech/tags/julia-programming-language.md>), [juliahub](<https://devfeed.tech/tags/juliahub.md>), [language](<https://devfeed.tech/tags/language.md>), [mit-schwarzman-college-of-computing](<https://devfeed.tech/tags/mit-schwarzman-college-of-computing.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [programming](<https://devfeed.tech/tags/programming.md>), [programming-language](<https://devfeed.tech/tags/programming-language.md>), [software](<https://devfeed.tech/tags/software.md>), [startups](<https://devfeed.tech/tags/startups.md>), [stefan-karpinski](<https://devfeed.tech/tags/stefan-karpinski.md>), [viral-shah](<https://devfeed.tech/tags/viral-shah.md>)

### AI overview

An MIT research project created Julia, a free and open-source programming language for scientific research, data analysis, and complex-systems modeling. The article describes Julia's adoption by researchers, engineers, companies, and universities, and introduces JuliaHub's Dyad 3.0 AI platform.

### Source excerpt

With millions of users across the world, Julia has been used to conduct cutting-edge research and to design new drugs, jet engines, heat pumps, and more.

## 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.

## Q&A: What is agentic AI today, and what do we want it to be?

DevFeed: [Q&A: What is agentic AI today, and what do we want it to be?](<https://devfeed.tech/articles/q-a-what-is-agentic-ai-today-and-what-do-we-want-it-to-be-37939.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/agentic-ai-and-what-do-we-want-it-be-0630>)

Author: Adam Zewe | MIT News

Published: 2026-06-30T15:30:00Z

Content type: article

Language: en

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

Topics: [what is agentic AI](<https://devfeed.tech/topics/what-is-agentic-ai.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI Models](<https://devfeed.tech/topics/ai-models.md>)

Tags: [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.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>), [chatgpt](<https://devfeed.tech/tags/chatgpt.md>), [claude](<https://devfeed.tech/tags/claude.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>), [data](<https://devfeed.tech/tags/data.md>), [electrical-engineering-and-computer-science-eecs](<https://devfeed.tech/tags/electrical-engineering-and-computer-science-eecs.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [human-computer-interaction](<https://devfeed.tech/tags/human-computer-interaction.md>), [interview](<https://devfeed.tech/tags/interview.md>), [large-language-models-llms](<https://devfeed.tech/tags/large-language-models-llms.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [mit-schwarzman-college-of-computing](<https://devfeed.tech/tags/mit-schwarzman-college-of-computing.md>), [phillip-isola](<https://devfeed.tech/tags/phillip-isola.md>), [school-of-engineering](<https://devfeed.tech/tags/school-of-engineering.md>)

### AI overview

This Q&A explains agentic AI as systems that take actions in the physical or digital world, distinguishing them from generative AI systems that primarily produce content. It describes how agents combine foundation models such as Claude with application-specific tools and memory, and identifies limited training data for real-world tasks as a major development challenge.

### Source excerpt

Computer scientist Phillip Isola cuts through the hype to explain how AI agents work and what the future might hold for this rapidly advancing technology.

## Improving the speed and energy-efficiency of AI agents

DevFeed: [Improving the speed and energy-efficiency of AI agents](<https://devfeed.tech/articles/improving-the-speed-and-energy-efficiency-of-ai-agents-37959.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/improving-ai-agent-speed-and-energy-efficiency-0625>)

Author: Adam Zewe | MIT News

Published: 2026-06-25T04:00:00Z

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>), [agentic workflows](<https://devfeed.tech/topics/agentic-workflows.md>), [Loop Engineering](<https://devfeed.tech/topics/loop-engineering.md>), [Green Software](<https://devfeed.tech/topics/green-software.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>), [Microsoft](<https://devfeed.tech/topics/microsoft.md>), [microsoft-azure](<https://devfeed.tech/topics/microsoft-azure.md>)

Tags: [adam-belay](<https://devfeed.tech/tags/adam-belay.md>), [agentic-workflows](<https://devfeed.tech/tags/agentic-workflows.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [algorithms](<https://devfeed.tech/tags/algorithms.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [cloud](<https://devfeed.tech/tags/cloud.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>), [data](<https://devfeed.tech/tags/data.md>), [data-centers](<https://devfeed.tech/tags/data-centers.md>), [defense-advanced-research-projects-agency-darpa](<https://devfeed.tech/tags/defense-advanced-research-projects-agency-darpa.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [efficiency](<https://devfeed.tech/tags/efficiency.md>), [electrical-engineering-and-computer-science-eecs](<https://devfeed.tech/tags/electrical-engineering-and-computer-science-eecs.md>), [electronics](<https://devfeed.tech/tags/electronics.md>), [energy](<https://devfeed.tech/tags/energy.md>), [energy-efficiency](<https://devfeed.tech/tags/energy-efficiency.md>), [gohar-chaudhry](<https://devfeed.tech/tags/gohar-chaudhry.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [microsoft](<https://devfeed.tech/tags/microsoft.md>), [microsoft-azure](<https://devfeed.tech/tags/microsoft-azure.md>), [mit-schwarzman-college-of-computing](<https://devfeed.tech/tags/mit-schwarzman-college-of-computing.md>), [murakkab](<https://devfeed.tech/tags/murakkab.md>), [research](<https://devfeed.tech/tags/research.md>), [school-of-engineering](<https://devfeed.tech/tags/school-of-engineering.md>), [software](<https://devfeed.tech/tags/software.md>), [sustainability](<https://devfeed.tech/tags/sustainability.md>), [sustainable-computing](<https://devfeed.tech/tags/sustainable-computing.md>), [workflows](<https://devfeed.tech/tags/workflows.md>)

### AI overview

MIT and Microsoft researchers developed Murakkab, a system that automatically designs and deploys agentic workflows by selecting models, tools, hardware configurations, and computational resources according to user priorities. Tests found that it reduced computational requirements, energy use, and costs without reducing performance.

### Source excerpt

A new system, known as Murakkab, optimizes the design and deployment of multistep workflows that power AI applications.