Computers, Artificial Intelligence, Neural Networks, Research Groups
- Learning about sequential and structured data, bioinformatics, document processing, natural language processing, pattern recognition.
- Application areas include computer vision (including image processing and video), text-based information retrieval, pattern recognition and learning in data bases, and large-scale optimization using novel methods.
- Inter-disciplinary research in engineering, neuroscience and medicine.
- Primarily concerned with analyzing data in various forms - web logs, hypertext, XML, databases, signals and images
- Machine learning, statistical pattern recognition, probabilistic planning, adaptive systems.
- Studies computations in neural systems, ranging from biological systems, to theoretical models and VLSI applications.
- Neural and computational principles underlying human and animal behaviour; computational neuroscience, cognitive science and adaptive systems.
- A consortium of Dutch neural networks research groups coordinating research into and applications of neural networks.
- David MacKay's group working on machine learning, information theory, neural networks and Bayesian inference.
- Mechanisms of human cognition and sensory-motor learning.
- Digital signal processing and applications to Biomedical Engineering and Industrial Systems.
- The theory and applications of neural networks and related techniques.
- To understand memory, learning and cognition through experiments and computational models, and to apply this knowledge to create brain-like artificial intelligence and neural prosthetic devices.
- Mathematical theories of the mind, learning and memory in biological and artificial neural networks.
- Neural networks for biomedical applications, sensory analysis, quality control and signal processing.
- Fundamental issues and applications of artificial neural networks, fuzzy systems and hybrid computational intelligence systems.
- Theory and applications of statistical learning theory, support vector machines and neural networks.
- Bruno Olshausen's group working on coding strategies of the visual system for object recognition and scene analysis.
- Neural Computing, hybrid systems, cognitive modelling, intelligent agents, distributed intelligence.
- Devoted to research and development addressing the challenges of understanding how humans function at the neural and cognitive levels, and solving major technological problems related to neural network implementations.
- Studies neural computational theories of perception and action, with an emphasis on learning. Directed by Geoffrey Hinton.
- An inter-departmental center at King's College London coordinating research and teaching in neural networks. Part of NEuroNet.
- Studies information processing in the brain from a mathematical and information theoretic viewpoint. Shun-ichi Amari of information geometry fame is the director.
- Group developing nonlinear estimation approaches which rapidly adapt on-line to speaker variations and changing noise sources.
- Theory and methodology of neural networks; medical applications; industrial applications; neural network simulation tools; and connectionism and cognitive modeling.
- Developing theory, algorithms, and software for neural network regression and classification.
- Maintains geographically organized list of Neural Computing research programs worldwide.
- Research in artificial neural networks, pattern recognition and signal processing.
- Research in systems biophysics, theoretical biology and complex systems.
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