neuralnetworks   2573

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The Difference Between AI, Machine Learning, and Deep Learning? | NVIDIA Blog
until recently neural networks were all but shunned by the AI research community. They had been around since the earliest days of AI, and had produced very little in the way of “intelligence.” The problem was even the most basic neural networks were very computationally intensive, it just wasn’t a practical approach. Still, a small heretical research group led by Geoffrey Hinton at the University of Toronto kept at it, finally parallelizing the algorithms for supercomputers to run and proving the concept, but it wasn’t until GPUs were deployed in the effort that the promise was realized.
machinelearning  ai  deeplearning  gpu  nvidia  neuralnetworks 
5 days ago by bwiese
Adobe Research » Project Scribbler
In this paper, we propose a deep adversarial image synthesis architecture that is conditioned on sketched boundaries and sparse color strokes to generate realistic cars, bedrooms, or faces. We demonstrate a sketch based image synthesis system which allows users to ‘scribble’ over the sketch to indicate preferred color for objects. Our network can then generate convincing images that satisfy both the color and the sketch constraints of user.
Adobe  research  Scribbler  art  neuralnetworks  colorize 
8 days ago by areich
The self-flying camera has arrived.
selfdriving  drones  ai  neuralnetworks 
9 days ago by ianchanning

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