School of Engineering
School of Engineering

School of Engineering

Artificial Intelligence Astronomy and astrophysics Awards, honors and fellowships chemistry Computer Science and Artificial Intelligence Laboratory (CSAIL) Education, teaching, academics Electrical engineering and computer science (EECS) Faculty machine learning MIT Schwarzman College of Computing Natural language processing School of Engineering School of Science

Jacob Andreas and Brett McGuire named Edgerton Award winners

The associate professors of EECS and chemistry, respectively, are honored for exceptional contributions to teaching, research, and service at MIT.

Alumni/ae Artificial Intelligence Bioengineering and biotechnology Biological engineering Drug development Innovation and Entrepreneurship (I&E) machine learning Proteins School of Engineering Startups

Bringing AI-driven protein-design tools to biologists everywhere

Founded by Tristan Bepler PhD ’20 and former MIT professor Tim Lu PhD ’07, OpenProtein.AI offers researchers open-source models and other tools for protein engineering.

Administration Artificial Intelligence Education, teaching, academics Ethics Faculty History History of MIT Human-computer interaction Interview MIT Schwarzman College of Computing Music technology Policy School of Engineering School of Humanities Arts and Social Sciences Technology and society

Q&A: MIT SHASS and the future of education in the age of AI

As the School of Humanities, Arts, and Social Sciences marks 75 years, Dean Agustín Rayo reflects on how AI is reshaping higher education and why SHASS disciplines continue to be central to MIT’s mission.

Algorithms Artificial Intelligence Autonomous Underwater Vehicles (AUV) Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Human-computer interaction Lincoln Laboratory machine learning MIT Schwarzman College of Computing Oceanography and ocean engineering Research Robotics School of Engineering sensors

Human-machine teaming dives underwater

Researchers are developing hardware and algorithms to improve collaboration between divers and autonomous underwater vehicles engaged in maritime missions.

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 Research School of Engineering

New technique makes AI models leaner and faster while they’re still learning

Researchers use control theory to shed unnecessary complexity from AI models during training, cutting compute costs without sacrificing performance.

Artificial Intelligence Batteries Cleaner industry Climate Computer science and technology Electronics Energy health Industry Innovation and Entrepreneurship (I&E) Materials science and engineering MIT.nano Nanoscience and nanotechnology Photonics Quantum Computing School of Engineering School of Science Semiconductors Startups Superconductivity Technology and society

Sixteen new START.nano companies are developing hard-tech solutions with the support of MIT.nano

Startup accelerator program grows to over 30 companies, almost half of them with MIT pedigrees.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Defense Advanced Research Projects Agency (DARPA) Electrical engineering and computer science (EECS) Electronics machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Research School of Engineering Sustainability

Helping data centers deliver higher performance with less hardware

Researchers developed a system that intelligently balances workloads to improve the efficiency of flash storage hardware in a data center.

Artificial Intelligence Computer modeling Energy Faculty machine learning Nuclear power and reactors Nuclear science and engineering Profile Renewable energy School of Engineering Sustainability

Working to advance the nuclear renaissance

Dean Price, assistant professor in the Department of Nuclear Science and Engineering, sees a bright future for nuclear power, and believes AI can help us realize that vision.

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Defense Advanced Research Projects Agency (DARPA) Electrical engineering and computer science (EECS) Ethics Human-computer interaction Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Research School of Engineering

Evaluating the ethics of autonomous systems

MIT researchers developed a testing framework that pinpoints situations where AI decision-support systems are not treating people and communities fairly.

3-D printing Additive manufacturing Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) machine learning Maker movement Mechanical engineering MIT Schwarzman College of Computing Research School of Engineering Sustainability

Preview tool helps makers visualize 3D-printed objects

By quickly generating aesthetically accurate previews of fabricated objects, the VisiPrint system could make prototyping faster and less wasteful.