Interview
Interview

Interview

Artificial Intelligence Books and authors Business and management DMSE Faculty Innovation and Entrepreneurship (I&E) Interview Invention School of Engineering Semiconductors Singapore-MIT Alliance for Research and Technology (SMART)

Q&A: Rethinking how innovation happens

In his latest book, Professor Eugene Fitzgerald examines the forces that turn breakthroughs into value — and why innovation resists simple formulas.

Artificial Intelligence Books and authors Business and management DMSE Faculty Innovation and Entrepreneurship (I&E) Interview Invention School of Engineering Semiconductors Singapore-MIT Alliance for Research and Technology (SMART)

Q&A: Rethinking how innovation happens

In his latest book, Professor Eugene Fitzgerald examines the forces that turn breakthroughs into value — and why innovation resists simple formulas.

Artificial Intelligence Books and authors Business and management DMSE Faculty Innovation and Entrepreneurship (I&E) Interview Invention School of Engineering Semiconductors Singapore-MIT Alliance for Research and Technology (SMART)

Q&A: Rethinking how innovation happens

In his latest book, Professor Eugene Fitzgerald examines the forces that turn breakthroughs into value — and why innovation resists simple formulas.

Algorithms apps Artificial Intelligence Computer science and technology Data Ethics Faculty Human-computer interaction Interview machine learning Media Lab Mental health Research Safety School of Architecture and Planning Technology and society

3 Questions: Neural transparency and the future of AI design

Assistant Professor Pat Pataranutaporn describes a new interface that lets everyday users glimpse inside an AI’s neural network before their chatbot ever says a word.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical engineering and computer science (EECS) Human-computer interaction Interview machine learning MIT Schwarzman College of Computing School of Engineering

Q&A: What is agentic AI today, and what do we want it to be?

Computer scientist Phillip Isola cuts through the hype to explain how AI agents work and what the future might hold for this rapidly advancing technology.

Algorithms Alumni/ae Artificial Intelligence Computer science and technology Data Design Exhibits Interview machine learning School of Architecture and Planning Special events and guest speakers

3 Questions: Beyond data-driven aesthetics

In a new Keller Gallery exhibition, Alexandros Haridis SM ’17, PhD ’22 traces centuries of ideas about aesthetic judgment and explores how design can make complex computational systems visible.

Artificial Intelligence Careers Classes and programs Climate Education, teaching, academics Energy Faculty Global Interview Labor and jobs Learning Manufacturing Massive open online courses (MOOCs) Office of Open Learning Online learning Staff

Q&A: Expanding MIT’s global reach through Universal Learning

Dimitris Bertsimas and Megan Mitchell discuss the motivation behind Universal Learning, and what sets the new MIT Open Learning educational initiative apart.

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 Astronomy and astrophysics chemistry Computer science and technology Data Faculty IDSS Interview Laboratory for Nuclear Science machine learning Materials science and engineering Mathematics MIT Schwarzman College of Computing National Science Foundation (NSF) Physics Research School of Science

3 Questions: On the future of AI and the mathematical and physical sciences

Professor Jesse Thaler describes a vision for a two-way bridge between artificial intelligence and the mathematical and physical sciences — one that promises to advance both.

Artificial Intelligence Biology Cancer Computational biology DNA Evolution Faculty Genetics Health sciences and technology Institute for Medical Engineering and Science (IMES) Interview Koch Institute machine learning Medicine School of Science

3 Questions: Building predictive models to characterize tumor progression

Assistant Professor Matthew Jones is working to decode molecular processes on the genetic, epigenetic, and microenvironment levels to anticipate how and when tumors evolve to resist treatment.