School of Engineering
School of Engineering

School of Engineering

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical Engineering & Computer Science (eecs) Health Care Human-computer interaction IDSS Institute for Medical Engineering and Science (IMES) machine learning MIT Schwarzman College of Computing Research School of Engineering

Automated system teaches users when to collaborate with an AI assistant

MIT researchers develop a customized onboarding process that helps a human learn when a model’s advice is trustworthy.

Artificial Intelligence chemistry Department of Defense (DoD) DMSE machine learning Materials science and engineering National Science Foundation (NSF) Research School of Engineering

MIT engineers develop a way to determine how the surfaces of materials behave

Using machine learning, the computational method can provide details of how materials work as catalysts, semiconductors, or battery components.

Administration Artificial Intelligence Center for International Studies Collaboration Community cybersecurity Department of Defense (DoD) Department of Political Science Leadership Lincoln Laboratory machine learning School of Engineering School of Humanities Arts and Social Sciences Security studies and military Staff

Eric Evans to step down as director of MIT Lincoln Laboratory

During 18 years of leadership, Evans established new R&D mission areas, strengthened ties to the MIT community, and increased inclusion and education efforts.

Algorithms Artificial Intelligence Civil and environmental engineering Computer science and technology IDSS Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Research School of Engineering

AI accelerates problem-solving in complex scenarios

A new, data-driven approach could lead to better solutions for tricky optimization problems like global package routing or power grid operation.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Faculty machine learning MIT Schwarzman College of Computing School of Engineering Special events and guest speakers Staff Students

What does the future hold for generative AI?

Rodney Brooks, co-founder of iRobot, kicks off an MIT symposium on the promise and potential pitfalls of increasingly powerful AI tools like ChatGPT.

Algorithms Artificial Intelligence Bacteria Biological engineering Biology Brain and cognitive sciences Broad Institute Computational biology Computer science and technology CRISPR Data DNA Genetic engineering Genome Genome editing McGovern Institute Microbes National Institutes of Health (NIH) Research RNA School of Engineering School of Science

Search algorithm reveals nearly 200 new kinds of CRISPR systems

By analyzing bacterial data, researchers have discovered thousands of rare new CRISPR systems that have a range of functions and could enable gene editing, diagnostics, and more.

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Contests and academic competitions Electrical Engineering & Computer Science (eecs) Innovation and Entrepreneurship (I&E) Invention Martin Trust Center for MIT Entrepreneurship MIT Corporation MIT Schwarzman College of Computing MIT Sloan School of Management MIT-IBM Watson AI Lab School of Engineering Special events and guest speakers Startups Students Technology and society

Students pitch transformative ideas in generative AI at MIT Ignite competition

Twelve teams of students and postdocs across the MIT community presented innovative startup ideas with potential for real-world impact.

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Data Electrical Engineering & Computer Science (eecs) image processing machine learning MIT Schwarzman College of Computing Research School of Engineering

Synthetic imagery sets new bar in AI training efficiency

MIT CSAIL researchers innovate with synthetic imagery to train AI, paving the way for more efficient and bias-reduced machine learning.

Algorithms Artificial Intelligence Computer science and technology Data Electrical Engineering & Computer Science (eecs) Internet Of Things machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Mobile devices National Science Foundation (NSF) Privacy Research School of Engineering

Technique enables AI on edge devices to keep learning over time

With the PockEngine training method, machine-learning models can efficiently and continuously learn from user data on edge devices like smartphones.

3-D printing Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) computer-vision Defense Advanced Research Projects Agency (DARPA) Electrical Engineering & Computer Science (eecs) machine learning Materials science and engineering MIT Schwarzman College of Computing National Science Foundation (NSF) Research Robots School of Engineering

This 3D printer can watch itself fabricate objects

Computer vision enables contact-free 3D printing, letting engineers print with high-performance materials they couldn’t use before.