AI & Machine Learning

AI & Machine Learning

Shaping the future of engineering

Engineers are shaping the future of artificial intelligence and machine learning — building systems that learn, adapt, and accelerate discovery across every field. They’re developing algorithms that design new materials, model climate systems, and drive breakthroughs in health, energy, and manufacturing.

Top row, from left to right: Andrey Bryutkin, Jovana Kondic, and Songlin Yang. Bottom row: Jinyeop Song (left) and Leo Hernandez Cano

Charting the future of AI, from safer answers to faster thinking

11.06.25
“I see all the different kinds of intelligence as having a lot of commonalities, and I’d like to understand those commonalities. What is it that all animals, humans, and AIs have in common?” says Phillip Isola.

Understanding the nuances of human-like intelligence

11.11.25
A robotic arm builds a lattice-like stool after hearing the prompt “I want a simple stool,” demonstrating how the system translates speech into real-time fabrication.

MIT researchers “speak objects into existence” using AI and robotics

12.05.25

Computing at MIT

A close-up of a glowing microchip on a circuit board, illuminated by blue and orange lights, representing advanced technology and electronics.

Computing at MIT

MIT has been at the forefront of computing for decades, from the early days of machine learning to today’s rapid advances in generative AI. In close collaboration with the Schwarzman College of Computing, the School of Engineering brings together experts in computation and AI with engineers across disciplines to develop solutions that have real-world impact, and that are applied responsibly and ethically.

Faculty Spotlights

A man with short hair and a thoughtful expression stands indoors by a modern wooden staircase, resting his hand on his chin. The lighting is warm, with teal accents on the wall and stairs.

Phillip Isola

Associate Professor

MIT News
A man with glasses and a patterned shirt stands inside a modern building with glass walls, next to a row of orange chairs and a small round table, with a street and parked cars visible outside.

Arvind Satyanarayan

Associate Professor

MIT News
A man with glasses and a navy sweater smiles while standing next to a black robotic dog labeled “SPARK” in a spacious, industrial lab setting with plastic sheeting and construction materials.

Luca Carlone

Associate Professor

MIT News
  • Title

    Boeing Career Development Professor

  • Department

    Department of Aeronautics and Astronautics

  • Lab

    SPARK Lab

  • Research area

    Design of certifiable perception algorithms for high-integrity autonomous systems and the development of algorithms and systems for real-time 3D scene understanding on mobile robotics platforms operating in the real world.

Generative AI

Administered by the MIT Schwarzman College of Computing, the MIT Generative AI Impact Consortium (MGAIC) brings MIT researchers, including members of the engineering community, together with industry leaders to explore how generative AI can spawn transformative solutions for real-world challenges.

MGAIC

Related Labs, Centers, and Programs

Departments working on AI and Machine Learning

EECS

Course 6

Electrical Engineering and Computer Science

Covering the full range of computer, information and energy systems, EECS brings the world’s most brilliant faculty and students together to innovate and explore.

Careers

  • Engineer
  • Scientist
  • Researcher

IDSS

Institute for Data, Systems, and Society

The MIT Institute for Data, Systems, and Society (IDSS) addresses complex societal challenges at the intersection of statistics, data science, information and decision systems, and the social sciences.

Careers

  • Data Scientist
  • Quantitative Researcher
  • Policy Analyst / Professor

DMSE

Course 3

Materials Science and Engineering

DMSE brings together engineering, physics, and chemistry to understand and design materials that tackle real-world challenges in energy, health, computing, and more.

Careers

  • Computational scientist
  • Materials engineer
  • Entrepreneur
  • Data scientist/analyst
  • Professor

MechE

Course 2

Mechanical Engineering

MechE educates future leaders to model, design, and innovate with passion, creativity, and humor and develop creative products and solutions that make the world a better place.

Careers

  • Engineer
  • Consultant
  • Entrepreneur

MIT engineers developed an insect-sized jumping robot that can traverse challenging terrains while using far less energy than an aerial robot of comparable size.

Ask an Engineer about AI