The pipeline for new technology starts with fundamental research into areas on which AT&T's business is built, from the physics of optical transmission to foundational topics in computing and communications. Research on machine learning has improved algorithms for speech recognition, leading to better automated voice services. Research on "Steiner Trees" led to improved network design algorithms, helping make our access network more cost effective, and advances in fundamental data structures made it possible to handle massive data sets in speech processing and Internet traffic analysis.

• Algorithms
• Artificial Intelligence
• Communication and Information Theory
• Cryptography and Security
• Machine Learning
• Mathematics
• Operations Research
• Optimization
• Statistics and Probability
• Video and Multimedia Processing

AT&T's products, services, and daily operations, depend on robust, scalable, integrated, and secure network and software systems. Systems research is driven by these demands and entails problems of design, implementation, deploy- ment, and maintenance—from wireless, optical, and IP networking to distributed, pervasive, and mobile computing environments. Interdisciplinary research spanning network measurement, database and data stream systems, and traffic analysis has enabled processing of vast amounts of network data, and led to improved network design and management technologies.

• Computer Graphics
• Computer Hardware & Architecture
• Databases
• Dependable & Secure Systems
• Distributed Systems
• Enterprise Computing
• IP Telecom Software & Services
• Mobile Computing & Services
• Network Design
• Network Management
• Network Protocols
• Operating Systems
• Optical Systems
• Pervasive Computing
• Programming Languages
• Service Engineering Technology
• Software Engineering

The explosion in communication and entertainment services is changing how people interact with devices and one other. Our world-renowned research in speech recognition, search and mining, natural language understanding, human-computer interaction is relevant now more than ever since speech is the most natural and safest way for people to communicate with devices. Interfaces must also accommodate trends in social networking, as people share and comment on music, video, and other media. Collaborative TV and radio, and applications allowing people to organize business, personal, and social information, are part of how Research is working to help customers and consumers interact with data and media.

• Data Integration
• Data Management
• Data Mining
• Data Quality
• Entertainment Services
• Human-Computer Interaction
• Multimodal Interfaces
• Search Technology
• Speech and Natural Language Understanding
• Speech and Text Mining
• Video and Multimedia Services
• Visualization
• Web Mining

AT&T's mission is to connect people, and our research focuses on ensuring that this communication is safe, enriching and sustainable. We are exploring the use of virtual machines to permit sharing and protect the privacy of personal information in on-line social networks. We are studying the use of sensors and wireless communication networks to securely report information on a person's health status to their care givers. Sensors and wireless networks are being used to understand how our services can be run using fewer resources. This and other research enhances our ability to connect people safely and in an environmentally responsible manner.

• Healthcare
• Privacy
• Social Networks
• Sustainability