Designing a computer that can process and understand natural language.
IBM is working to build a computing system that can understand and answer complex questions with enough precision and speed to compete against some of the best Jeopardy! contestants out there.
This challenge is much more than a game. Jeopardy! demands knowledge of a broad range of topics including history, literature, politics, film, pop culture and science. What's more, Jeopardy! clues involve irony, riddles, analyzing subtle meaning and other complexities at which humans excel and computers traditionally do not. This, along with the speed at which contestants have to answer, makes Jeopardy! an enormous challenge for computing systems.
Code-named "Watson" after IBM founder Thomas J. Watson, the IBM computing system is designed to rival the human mind's ability to understand the actual meaning behind words, distinguish between relevant and irrelevant content, and ultimately, demonstrate confidence to deliver precise final answers.
Known as a Question Answering (QA) system among computer scientists, Watson has been under development for more than three years. According to Dr. David Ferrucci, leader of the project team, "The confidence processing ability is key to winning at Jeopardy! and is critical to implementing useful business applications of Question Answering."
Watson will also incorporate massively parallel analytical capabilities and, just like human competitors, Watson will not be connected to the Internet, or have any other outside assistance.