CoRR - Computing Research Repository CoRR - Computing Research Repository Welcome to the Computing Research Repository Welcome to the Computing Research Repository (CoRR). CoRR allows researchers to search, browse and download papers through its online repository. CoRR is available to all members of of the community at no charge. Please feel free to explore the site and features.
ADRC
Mechanical Engineering - Army High Performance Computing Researc
Please see this FAQ before emailing us your questions. Affective Computing is computing that relates to, arises from, or deliberately influences emotion or other affective phenomena. Emotion is fundamental to human experience, influencing cognition, perception, and everyday tasks such as learning, communication, and even rational decision-making. However, technologists have largely ignored emotion and created an often frustrating experience for people, in part because affect has been misunderstood and hard to measure. Our research develops new technologies and theories that advance basic understanding of affect and its role in human experience. We aim to restore a proper balance between emotion and cognition in the design of technologies for addressing human needs. MIT Media Lab: Affective Computing Group MIT Media Lab: Affective Computing Group
Leeds University: Language Computing Research Group Our research within this theme exploits synergies between several key approaches to artificial intelligence. In computer vision we have pioneered a broad ‘cognitive’ approach and focus on video analysis and segmentation, with application in many sectors, including medicine, security, sport and entertainment. We have been in active in this area for over 20 years, with many alumni in academic and industrial positions around the world. In knowledge representation and reasoning (KRR) we focus on representing information in a high-level way that allows integration of information from very different sources and the generation of new knowledge by reasoning from existing knowledge. The underlying data are produced in many ways: cameras generate video images, web browsers generate text documents (as well as images and sounds), wireless sensor devices generate numerical measurements of temperature etc. Leeds University: Language Computing Research Group