We Build Systems That Matter

AI at CMU grew out of an interest in problem-solving, a field we pioneered until it reached a natural limit. From the mid 1990s until about 2010, we worked on creating and improving upon technologies that observed and reacted to the world around them, so we could continue solving the world's most relevant, timely problems. Today, the decades of research behind us allow us to work toward one goal: creating AIs that know enough about the real world to solve its problems.

Real Problems, Real Solutions

The world needs AI research now more than ever. Here's a sample of what we're doing and why we're doing it.

  • Moonshots: FarmView

    In the not-so-distant future, we'll have more people on the planet than food to feed them. FarmView hopes to change that.

  • Improving Medicine

    CMU researchers are collaborating with an international team that's working to find ways to translate genetic findings into new therapies for Alzheimer's disease.

  • Solving Problems With Incomplete Information

    We made a lot of waves with our poker AI research. But the work goes way beyond games.

Size + Café Culture = Collaboration, Inspiration

CMU might be one of the few places in the world where if you're sitting in a bar, there's a more than two percent chance you'll hear someone talking about the Nash equilibrium or 3-D modeling of a thorax. We have a ridiculously high density of people who are doing this kind of work, making collaboration natural and easy.

We Cover All the AI Bases

AI is what we talk about when we look at the end application of an intelligent system. But it calls on a vast array of research areas. The heavy hitters are listed to the right.