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AMD and Neurala at SIFMA 2008
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2008/6/23 13:33:57
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AMD and Neurala were present at the Securities Industry and Financial Markets Associations (SIFMA) 28th Annual Technology Management Conference & Exhibit that took place June 10-12, 2008, in New York city.
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AMD press release - Neurala LLC
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2008/6/16 16:41:21
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AMD customers, including ACCIT, Centre de Physique de Particules de Marseille, the Boston based Neurala, and Telanetix are using the AMD Stream SDK and current AMD FireStream, ATI FireGL or ATI Radeon boards to achieve dramatic performance gains on critical algorithms in HPC, workstation and consumer applications. Currently, Neurala reports that it is achieving 10-200x speedups over the CPU alone on biologically inspired neural models, applicable to finance, image processing and other applications.
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Gail A. Carpenter wins the 2008 IEEE Neural Networks Pioneer Award
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2007/10/22 12:14:33
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For analysis and modeling of Hodgkin-Huxley neurons and development of Adaptive Resonance Theory. Gail Carpenter’s neural modeling work began with her 1974 mathematics PhD thesis, Traveling wave solutions of nerve impulse equations. In a series of papers published in the 1970s, she defined generalized Hodgkin-Huxley models, used dynamical systems techniques to analyze their solutions, and characterized the qualitative properties of the burst patterns that a typical neuron may propagate.
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NSF grant to found CELEST
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2004/10/6 22:58:43
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The National Science Foundation (NSF) has announced major awards to Boston University, Carnegie Mellon University, and the University of Washington to establish Science of Learning Centers (SLC). The new centers will engage in basic research and serve as hubs for a national network of research focused on learning. The Science of Learning Center based at Boston University is CELEST: Center of Excellence for Learning in Education, Science, and Technology. CELEST brings together leading scientists, educators, and technologists from Boston University, Brandeis University, Massachusetts Institute of Technology, and the University of Pennsylvania to study real-time autonomous learning systems by integrating experimental and computational brain science, biologically inspired technology, and classroom innovation.
Press releases: Boston University National Science Foundation
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