Artificial intelligence means many things to many people. But at Carnegie Mellon — the place where AI was invented more than half a century ago — we understand that we have an obligation to study and create new frontiers in AI. We don't take that obligation lightly.
Self-driving cars. Speech recognition. Advanced sensor design and application. Internet of things. Facial recognition software. Understanding how the brain processes information. We do all of that. But we also recognize that AI rests on top of a huge stack that relies on machine learning, programming, data analysis, design, physics and math. Our excellence in all those areas is part of what sets Carnegie Mellon apart from AI programs around the world.
Carnegie Mellon AI unites our interdisciplinary artificial intelligence research and education efforts to create an AI strategy for the planet. To pioneer ways to make AI safe. To create the operating system of autonomy. It establishes the critical mass of brilliant human minds, state-of-the-art research facilities and financial resources necessary to create technologies that will change the world for the better.
Through many research and educational partnerships, School of Computer Science faculty exercise daily leadership in the fields of information technology, networking, cybersecurity, machine learning, natural language processing, speach recognition, robotics and more. They work closely with nonprofit agencies and industry clients to develop and mature technologies from concept through delivery to end-users. Our diverse interdisciplinary research also extends into areas not traditionally considered part of computer science. We invite you to explore our department websites to learn more about our research.
More than half a century ago, Allen Newell and Herb Simon had a vision for a general problem-solver for the human race. Since then, their vision has become a filter: people attracted to building solutions to real-world problems come here. The result? One of the world's largest collections of people determined to build things that help humans. That's why we're the right place to lead the AI charge in the 21st century. To learn more about our efforts, watch the video from our first all-hands Carnegie Mellon IA meeting in November.