School of Engineering
School of Engineering

School of Engineering

3-D printing Artificial Intelligence Center for Bits and Atoms Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Design Electrical engineering and computer science (EECS) Fabrication Invention machine learning MIT Schwarzman College of Computing School of Engineering

Generative AI tool helps 3D print personal items that sustain daily use

“MechStyle” allows users to personalize 3D models, while ensuring they’re physically viable after fabrication, producing unique personal items and assistive technology.

Algorithms Alternative energy Artificial Intelligence Batteries Climate change Computer science and technology Electrical engineering and computer science (EECS) Energy Energy storage Faculty Interview Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Pollution Research School of Engineering Sustainability Sustainable computing

3 Questions: How AI could optimize the power grid

While the growing energy demands of AI are worrying, some techniques can also help make power grids cleaner and more efficient.

Artificial Intelligence Civil and environmental engineering Climate Computer science and technology Earth and atmospheric sciences machine learning Natural disasters Profile Research School of Engineering Staff Technology and society Weather

Decoding the Arctic to predict winter weather

With the help of AI, MIT Research Scientist Judah Cohen is reshaping subseasonal forecasting, with the goal of extending the lead time for predicting impactful weather.

Artificial Intelligence Broad Institute Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology cybersecurity Electrical engineering and computer science (EECS) Ethics Health Care Health sciences and technology Human-computer interaction Institute for Medical Engineering and Science (IMES) Jameel Clinic Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Privacy Public health Research School of Engineering Technology and society

MIT scientists investigate memorization risk in the age of clinical AI

New research demonstrates how AI models can be tested to ensure they don’t cause harm by revealing anonymized patient health data.

Administration Alumni/ae Artificial Intelligence Cambridge, Boston and region Climate change Community Computer science and technology Education, teaching, academics Equity and inclusion Faculty Global Government Health sciences and technology Innovation and Entrepreneurship (I&E) MIT Schwarzman College of Computing MIT Sloan School of Management Policy President Sally Kornbluth Research School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences School of Science Social justice Space Staff Students

MIT in the media: 2025 in review

MIT community members made headlines with key research advances and their efforts to tackle pressing challenges.

Algorithms Artificial Intelligence Center for Brains Minds and Machines Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Defense Advanced Research Projects Agency (DARPA) Electrical engineering and computer science (EECS) machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab National Science Foundation (NSF) Networks Neuroscience Research School of Engineering

Guided learning lets “untrainable” neural networks realize their potential

CSAIL researchers find even “untrainable” neural nets can learn effectively when guided by another network’s built-in biases using their guidance method.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical engineering and computer science (EECS) machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Research School of Engineering

A new way to increase the capabilities of large language models

MIT-IBM Watson AI Lab researchers developed an expressive architecture that provides better state tracking and sequential reasoning in LLMs over long texts.

Artificial Intelligence Bacteria Biology Electrical engineering and computer science (EECS) Evolution Faculty Genetics Interview machine learning Microbes MIT Schwarzman College of Computing School of Engineering School of Science

3 Questions: Using computation to study the world’s best single-celled chemists

Assistant Professor Yunha Hwang utilizes microbial genomes to examine the language of biology. Her appointment reflects MIT’s commitment to exploring the intersection of genetics research and AI.

Algorithms Artificial Intelligence Civil and environmental engineering Computer modeling Department of Energy (DoE) Energy Graduate, postdoctoral Nuclear power and reactors Nuclear science and engineering Nuclear security and policy Profile School of Engineering Students

Working to eliminate barriers to adopting nuclear energy

Nuclear waste continues to be a bottleneck in the widespread use of nuclear energy, so doctoral student Dauren Sarsenbayev is developing models to address the problem.

3-D Animals Artificial Intelligence Biology Cells computer-vision Imaging machine learning Mechanical engineering National Institutes of Health (NIH) Research School of Engineering Self-assembly

Deep-learning model predicts how fruit flies form, cell by cell

The approach could apply to more complex tissues and organs, helping researchers to identify early signs of disease.