AI

IBM Research AI: Advancing AI for industry and society

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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IBM Research at CVPR 2017: Helping AI systems to see with computer vision

This week IBM Research will be participating at the Conference on Computer Vision and Pattern Recognition (CVPR) in Honolulu, Hawaii from July 21 –25. As a major computer vision event, it’s a place for researchers, academics, students, and even investors to learn about the latest advances in the field. IBM’s presence this year includes multiple […]

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Using distributed learning to boost Watson’s Visual IQ

Quantity matters when training computers to accurately recognize what’s in an image. The more they see, the more they learn. But, training new visual recognition models from a large number of images using deep learning can quickly become a bottleneck, especially for cloud environments that use commodity hardware and GPUs. Commodity machines with an average […]

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Scaling Wimbledon’s video production of highlight reels through AI technology

Demonstrating the continual innovation that takes place around its major sporting events, IBM Research and IBM iX are teaming up to provide “Cognitive Highlights” to The Championships, Wimbledon, the oldest tennis tournament in the world, to demonstrate how AI technology can scale and accelerate the video production process for any media, sports or entertainment company. […]

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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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Advancing Core AI Research Through Academic Collaboration

Over the past few years, Artificial Intelligence (AI) has increasingly impacted our daily lives and changed how enterprises conduct business. One of the major drivers behind the extended adoption of AI is the advancement of machine learning and deep learning algorithms, and the dawn of systems that allow computers to learn from examples to perceive, […]

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The brain’s architecture, efficiency… on a chip

2016 was a big year for brain-inspired computing. My team and I proved in our paper “Convolutional networks for fast, energy-efficient neuromorphic computing” that the value of this breakthrough is that it can perform neural network inference at unprecedented ultra-low energy consumption. Simply stated, our TrueNorth chip’s non-von Neumann architecture mimics the brain’s neural architecture […]

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Deep learning inference possible in embedded systems thanks to TrueNorth

Scientists at IBM Research – Almaden have demonstrated that the TrueNorth brain-inspired computer chip, with its 1 million neurons and 256 million synapses, can efficiently implement inference with deep networks that approach state-of-the-art classification accuracy on several vision and speech datasets. This will open up the possibilities of embedding intelligence in the entire computing stack […]

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Unsupervised learning with artificial neurons

Inspired by the way the human brain functions, a team of scientists at IBM Research in Zurich, have imitated the way neurons spike, for example when we touch a hot plate. These so-called artificial neurons can be used to detect patterns and discover correlations in Big Data with power budgets and at densities comparable to […]

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