MIT researchers propose a new model for legible, modular software
The coding framework uses modular concepts and simple synchronization rules to make software clearer, safer, and easier for LLMs to generate.
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MIT PhD student and CSAIL researcher Justin Kay describes his work combining AI and computer vision systems to monitor the ecosystems that support our planet.
Charting the future of AI, from safer answers to faster thinking
MIT PhD students who interned with the MIT-IBM Watson AI Lab Summer Program are pushing AI tools to be more flexible, efficient, and grounded in truth.
Tess Smidt named to 2025 cohort of AI2050 Early Career Fellows
The honor is announced annually by Schmidt Sciences.
A faster problem-solving tool that guarantees feasibility
The FSNet system, developed at MIT, could help power grid operators rapidly find feasible solutions for optimizing the flow of electricity.
Two MIT presidential initiatives partner with SuperUROP to expand student opportunities
MIT HEALS and MGAIC are now collaborating with SuperUROP, a two-semester supervised research experience which takes undergraduates through the complete research cycle, from selecting a topic and designing their experiment to writing a technical paper and presenting their results at conferences.