brain-inspired computing

Stereo Vision Using Computing Architecture Inspired by the Brain

Our Brain-Inspired Computing group at IBM Research-Almaden will be presenting at the 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018) our most recent paper titled “A Low Power, High Throughput, Fully Event-Based Stereo System.” The paper describes an end-to-end stereo vision system that uses exclusively spiking neural network computation and can run […]

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Brain-Inspired AI: How Neuroscience Helps to Advance Machine Learning

While building artificial systems does not necessarily require copying nature — after all, airplanes fly without flapping their wings like birds — the history of AI and machine learning convincingly demonstrates that drawing inspirations from neuroscience and psychology can lead to significant breakthroughs, with deep neural networks and reinforcement learning being perhaps the two most […]

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IBM demos event-based gesture recognition using a brain-inspired chip at CVPR 2017

Event-based computation is a biologically-inspired paradigm for representing data as asynchronous events, much like neuron spikes in the brain. The Brain-Inspired Computing group at IBM Research – Almaden has built the first gesture-recognition system implemented end-to-end on event-based hardware. Combining the IBM TrueNorth neurosynaptic processor with an iniLabs Dynamic Vision Sensor (DVS), we trained a […]

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Wisdom from a brain-inspired computing researcher to the class of 2017

Dr. Dharmendra S. Modha is an IBM Fellow and IBM Chief Scientist for Brain-inspired Computing at IBM Research. Following is a transcript of the keynote speech he delivered to the graduating class of the University of California at San Diego Jacobs School of Engineering on June 17, 2017. Congratulations class of 2017! I am honored […]

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