Magazine article AI Magazine

Introduction to the Articles on Innovative Applications of Artificial Intelligence

Magazine article AI Magazine

Introduction to the Articles on Innovative Applications of Artificial Intelligence

Article excerpt

The Innovative Applications of Artificial Intelligence (IAAI) conference was founded in 1989 with the goal of documenting the progress that has been made in integrating AI applications into the real world. Throughout the ensuing 21 years we have been witness to a vast array of different AI-based systems that showcased how AI technology can be deployed to solve critical real-world problems and provide benefits to people around the world. We are proud to continue this tradition with the presentation of five articles from the Twenty Second IAAI conference that was held in Atlanta, Georgia, from July 11-14, 2010.

We were especially honored to have Jay M. (Marty) Tenenbaum accept the Robert S. Engelmore Memorial Award for his exceptional contributions to AI in computer vision and manufacturing as well as his visionary role in the birth of electronic commerce. This issue of AI Magazine includes an article based on his lecture Cancer: A Computational Disease That AI Can Cure. In this article, Jay Tenenbaum and Jeff Shrager provide a personal view of their work in the development of an AI-based system that addresses the challenge of helping to find a cure for cancer.

As a cancer survivor himself, Tenenbaum has a unique insight into the shortcomings of current approaches to treating this disease. He was diagnosed with metastatic melanoma over a decade ago and needed to make critical decisions about his treatment without having access to all of the relevant knowledge about his disease and possible treatments. This technology was just not available at that time. After his successful treatment, Tenenbaum started CollabRx to help cancer patients make these decisions by providing them and their physicians with access to knowledge about their particular type of cancer and potential treatments. Cancer Commons is a family of web-based rapid learning communities where physicians, scientists, and patients collaborate to invidualize each patient's therapy. Using both semantic web knowledge representation techniques and machine-learning algorithms, Cancer Commons provides an intelligent methodology to help find effective individual treatments for cancer. The goal of finding a cure for cancer is certainly a worthy addition to being one of the great challenges of AI and demonstrates how AI is making a positive contribution for the common good of people around the world.

The three deployed application articles show how diverse and prevalent AI technology has become. In Optimizing Limousine Service with AI, Andy Hon Wai Chun describes an application that is being used in Hong Kong by a limousine company to assist travel planners in creating schedules for their drivers. The dynamic nature of the business requires that schedules be modified as travel conditions change and this application uses a constraint-based approach to create schedules that meet all of the constraints in a timely manner. The deployment of this application has allowed the company to handle a 100 percent increase in the number of weekly orders without needing any additional planners.

Anton Leuski and David Traum describe their work in building a natural language-processing component for virtual humans in the article NPCEditor: Creating a Virtual Human Dialogue Using Information Retrieval Techniques. Virtual human applications use artificial characters that can interact with humans through speech and by exhibiting characteristics such as gestures and emotion. …

Search by... Author
Show... All Results Primary Sources Peer-reviewed

Oops!

An unknown error has occurred. Please click the button below to reload the page. If the problem persists, please try again in a little while.