Computer modeling
Computer modeling

Computer modeling

Algorithms Artificial Intelligence Autonomous vehicles Cities Civil and environmental engineering Climate change Computer modeling Computer science and technology Electrical engineering and computer science (EECS) Emissions IDSS Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Research School of Engineering Sustainability Transportation

Eco-driving measures could significantly reduce vehicle emissions

New research shows automatically controlling vehicle speeds to mitigate traffic at intersections can cut carbon emissions between 11 and 22 percent.

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School of Architecture and Planning welcomes new faculty for 2025

Four new professors join the Department of Architecture and MIT Media Lab.

Artificial Intelligence Computer modeling Energy machine learning Nuclear power and reactors Nuclear science and engineering Nuclear security and policy Research School of Engineering

Model predicts long-term effects of nuclear waste on underground disposal systems

The simulations matched results from an underground lab experiment in Switzerland, suggesting modeling could be used to validate the safety of nuclear disposal sites.

3-D imaging 3-D printing Artificial Intelligence Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Design Electrical engineering and computer science (EECS) Human-computer interaction Invention Manufacturing MIT Schwarzman College of Computing Research School of Engineering

3D modeling you can feel

TactStyle, a system developed by CSAIL researchers, uses image prompts to replicate both the visual appearance and tactile properties of 3D models.

Artificial Intelligence Awards, honors and fellowships Civil and environmental engineering Computer modeling Education, teaching, academics Faculty K-12 education Mechanical engineering MIT Schwarzman College of Computing School of Engineering

Markus Buehler receives 2025 Washington Award

Materials scientist is honored for his academic leadership and innovative research that bridge engineering and nature.

Algorithms Artificial Intelligence Biology Cells Collaboration Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Disease Electrical engineering and computer science (EECS) Health sciences and technology machine learning MIT Schwarzman College of Computing Proteins Research School of Engineering School of Science Whitehead Institute

AI model deciphers the code in proteins that tells them where to go

Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.

Artificial Intelligence Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical engineering and computer science (EECS) IDSS Laboratory for Information and Decision Systems (LIDS) machine learning Mathematics MIT Schwarzman College of Computing National Science Foundation (NSF) Research School of Engineering

Validation technique could help scientists make more accurate forecasts

MIT researchers developed a new approach for assessing predictions with a spatial dimension, like forecasting weather or mapping air pollution.

Artificial Intelligence Brain and cognitive sciences Computer modeling Hearing machine learning McGovern Institute Neuroscience Research School of Science

For healthy hearing, timing matters

Machine-learning models let neuroscientists study the impact of auditory processing on real-world hearing.

Artificial Intelligence Automobiles Computer modeling Data Design Electric vehicles Energy efficiency Fluid dynamics machine learning Mechanical engineering Research School of Engineering

Want to design the car of the future? Here are 8,000 designs to get you started.

MIT engineers developed the largest open-source dataset of car designs, including their aerodynamics, that could speed design of eco-friendly cars and electric vehicles.

Algorithms Artificial Intelligence Climate change Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Environment MIT Schwarzman College of Computing Plants Research School of Engineering Sustainability Urban studies and planning

Advancing urban tree monitoring with AI-powered digital twins

The Tree-D Fusion system integrates generative AI and genus-conditioned algorithms to create precise simulation-ready models of 600,000 existing urban trees across North America.