• Imagine if the next breakthrough in artificial intelligence came from the root of intelligence itself: the human brain.

  • Imagine if artificial intelligence was socially and emotionally intelligent enough to empower everyone to flourish—from individuals to societies.

  • Imagine if machine learning could revolutionize disease detection, prevention and treatment.

  • Imagine if we could build a machine that grows into intelligence the way a person does—that starts like a baby and learns like a child.

  • Imagine the insights and societal benefits we could derive from the aggregation of data across organizations. Now imagine we could do this while respecting privacy concerns.

Advancing research in natural and machine intelligence, and developing applications to benefit society.

The MIT Quest for Intelligence is advancing research in natural and machine intelligence and driving the development of new tools and technologies to benefit society. Housed within the new MIT Schwarzman College of Computing, MIT Quest brings together researchers from across disciplines to pursue ambitious questions tied to intelligence and to address the ethical and social implications of automated decision-making.

Quest Core

The Quest Core is organized around the idea that understanding natural intelligence and advancing machine intelligence are part of the same grand challenge: to reverse engineer human intelligence. The benefits of reverse engineering human intelligence go beyond developing smarter machines and, ultimately, true AI. Even partial progress could reveal new ways to educate our children and ourselves, and new ways to treat a variety of devastating conditions, from depression to Alzheimer's.

Quest Bridge

The Quest Bridge is focused on creating a future in which everyone has access to intelligence tools that are intuitive and easy to use. We seek to develop artificial intelligence tools to accelerate the discovery of new knowledge, personalize and improve the quality of education for children and adults, and curate and manage the data that drive the creation and transmission of knowledge. Our team of engineers are deploying new technologies in labs across campus, allowing scientists and engineers to harness intelligent learning systems in their research.