# MIT MechE

Published articles for MIT MechE.

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## Generating scenarios for extreme events, without extreme data

DevFeed: [Generating scenarios for extreme events, without extreme data](<https://devfeed.tech/articles/generating-scenarios-for-extreme-events-without-extreme-data-37953.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/generating-scenarios-extreme-events-without-extreme-data-0824>)

Author: Jennifer Chu | MIT News

Published: 2026-08-24T18:00:00Z

Content type: news

Language: en

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

Topics: [Machine learning](<https://devfeed.tech/topics/machine-learning.md>), [Algorithms](<https://devfeed.tech/topics/algorithms.md>), [Critical Infrastructure](<https://devfeed.tech/topics/critical-infrastructure.md>), [data](<https://devfeed.tech/topics/data.md>)

Tags: [algorithm](<https://devfeed.tech/tags/algorithm.md>), [algorithms](<https://devfeed.tech/tags/algorithms.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [center-for-computational-science-and-engineering](<https://devfeed.tech/tags/center-for-computational-science-and-engineering.md>), [climate](<https://devfeed.tech/tags/climate.md>), [climate-risk-assessment](<https://devfeed.tech/tags/climate-risk-assessment.md>), [computer-modeling](<https://devfeed.tech/tags/computer-modeling.md>), [critical-infrastructure](<https://devfeed.tech/tags/critical-infrastructure.md>), [data](<https://devfeed.tech/tags/data.md>), [extreme-event-aware](<https://devfeed.tech/tags/extreme-event-aware.md>), [extreme-weather](<https://devfeed.tech/tags/extreme-weather.md>), [fire](<https://devfeed.tech/tags/fire.md>), [heat](<https://devfeed.tech/tags/heat.md>), [idss](<https://devfeed.tech/tags/idss.md>), [kai-chang](<https://devfeed.tech/tags/kai-chang.md>), [learning-fefb62e9fa83](<https://devfeed.tech/tags/learning-fefb62e9fa83.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [mechanical-engineering](<https://devfeed.tech/tags/mechanical-engineering.md>), [mit-meche](<https://devfeed.tech/tags/mit-meche.md>), [mit-schwarzman-college-of-computing](<https://devfeed.tech/tags/mit-schwarzman-college-of-computing.md>), [natural-disasters](<https://devfeed.tech/tags/natural-disasters.md>), [research](<https://devfeed.tech/tags/research.md>), [risk](<https://devfeed.tech/tags/risk.md>), [school-of-engineering](<https://devfeed.tech/tags/school-of-engineering.md>), [storm](<https://devfeed.tech/tags/storm.md>), [sustainability](<https://devfeed.tech/tags/sustainability.md>), [themis-sapsis](<https://devfeed.tech/tags/themis-sapsis.md>), [weather](<https://devfeed.tech/tags/weather.md>), [weather-prediction](<https://devfeed.tech/tags/weather-prediction.md>)

### AI overview

MIT engineers developed a machine-learning algorithm that generates plausible future extreme-event scenarios without requiring past extreme events in the training data. It learns from available records, filters out implausible weather scenarios, and estimates events' frequency, size, intensity, duration, and area of impact to help planners prepare.

### Source excerpt

A new algorithm learns to anticipate the unprecedented scenarios that critical infrastructure and global supply chains are least prepared for.

## MIT's JARVIS Challenge tests AI copilots in jet-engine design and manufacturing

DevFeed: [MIT's JARVIS Challenge tests AI copilots in jet-engine design and manufacturing](<https://devfeed.tech/articles/can-ai-build-a-jet-engine-jarvis-challenge-tests-role-of-ai-copilots-in-tough-tech-engineering-37945.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/can-ai-build-jet-engine-jarvis-challenge-tests-ai-copilots-in-tough-tech-engineering-0714>)

Author: Department of Aeronautics and Astronautics

Published: 2026-07-14T18:00:00Z

Content type: news

Language: en

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

Topics: [AI Development](<https://devfeed.tech/topics/ai-development.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Hardware](<https://devfeed.tech/topics/hardware.md>), [Software Engineering](<https://devfeed.tech/topics/software-engineering.md>), [Large language models (LLMs)](<https://devfeed.tech/topics/large-language-models-llms.md>)

Tags: [3-d-printing](<https://devfeed.tech/tags/3-d-printing.md>), [aeronautical-and-astronautical-engineering](<https://devfeed.tech/tags/aeronautical-and-astronautical-engineering.md>), [aerospace](<https://devfeed.tech/tags/aerospace.md>), [ai-and-rapid-prototyping](<https://devfeed.tech/tags/ai-and-rapid-prototyping.md>), [ai-copilots](<https://devfeed.tech/tags/ai-copilots.md>), [ai-native-engineer](<https://devfeed.tech/tags/ai-native-engineer.md>), [aircraft](<https://devfeed.tech/tags/aircraft.md>), [andreea-bobu](<https://devfeed.tech/tags/andreea-bobu.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [chatgpt](<https://devfeed.tech/tags/chatgpt.md>), [classes-and-programs](<https://devfeed.tech/tags/classes-and-programs.md>), [claude](<https://devfeed.tech/tags/claude.md>), [contests-and-academic-competitions](<https://devfeed.tech/tags/contests-and-academic-competitions.md>), [design](<https://devfeed.tech/tags/design.md>), [design-build-test-cycle](<https://devfeed.tech/tags/design-build-test-cycle.md>), [education-teaching-academics](<https://devfeed.tech/tags/education-teaching-academics.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [gas-turbine-aero-engine](<https://devfeed.tech/tags/gas-turbine-aero-engine.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [independent-activities-period](<https://devfeed.tech/tags/independent-activities-period.md>), [jet-engines](<https://devfeed.tech/tags/jet-engines.md>), [large-language-models-llms](<https://devfeed.tech/tags/large-language-models-llms.md>), [lincoln-laboratory](<https://devfeed.tech/tags/lincoln-laboratory.md>), [logistics](<https://devfeed.tech/tags/logistics.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [manufacturing](<https://devfeed.tech/tags/manufacturing.md>), [masha-folk](<https://devfeed.tech/tags/masha-folk.md>), [mechanical-engineering](<https://devfeed.tech/tags/mechanical-engineering.md>), [mit-aeroastro](<https://devfeed.tech/tags/mit-aeroastro.md>), [mit-gas-turbine-laboratory](<https://devfeed.tech/tags/mit-gas-turbine-laboratory.md>), [mit-iap](<https://devfeed.tech/tags/mit-iap.md>), [mit-jarvis-challenge](<https://devfeed.tech/tags/mit-jarvis-challenge.md>), [mit-lincoln-laboratory](<https://devfeed.tech/tags/mit-lincoln-laboratory.md>), [mit-meche](<https://devfeed.tech/tags/mit-meche.md>), [mit-motorsports-team](<https://devfeed.tech/tags/mit-motorsports-team.md>), [mit-parley](<https://devfeed.tech/tags/mit-parley.md>), [mit-rocket-team](<https://devfeed.tech/tags/mit-rocket-team.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [school-of-engineering](<https://devfeed.tech/tags/school-of-engineering.md>), [stem-education](<https://devfeed.tech/tags/stem-education.md>), [students](<https://devfeed.tech/tags/students.md>), [undergraduate](<https://devfeed.tech/tags/undergraduate.md>), [zachary-cordero](<https://devfeed.tech/tags/zachary-cordero.md>), [zoltan-spakovszky](<https://devfeed.tech/tags/zoltan-spakovszky.md>)

### AI overview

MIT's JARVIS Challenge asked undergraduate teams to design, fabricate, assemble, and test small gas turbine aero engines with AI as their primary engineering partner. The challenge found that AI could accelerate parts of safety-critical hardware engineering, while engineering judgment remained essential and manufacturing was the main rate-limiting step.

### Source excerpt

MIT students designed, built, and tested a jet engine with AI copilots, assessing AI's usefulness in developing high-performance aerospace systems.