Thor Johnsen, an HPC Expert at Chevron, talks about how they are using NVIDIA GPUs for seismic imaging and modeling of the subsurface of the earth to create detailed 3D maps used to identify locations for oil drilling. Share your GPU-accelerated science with us: http://nvda.ly/Vpjxr Watch more scientists and researchers share how accelerated computing is
Gill Pratt, CEO of the Toyota Research Institute and one of the world’s leading figures in artificial intelligence will be a keynote speaker at the GPU Technology Conference in Silicon Valley on April 7. Pratt joined Toyota in 2015 from the U.S. Defense Advanced Research Projects Agency where he led the DARPA Robotics Challenge. His
Developers looking to bring deep learning to drones, robots and other embedded computing applications can now get a head start. Connect Tech Inc. (CTI), an Ontario, Canada-based embedded-computing group, has launched the Astro Carrier for Jetson TX1. It’s the first commercially available, deployment-ready carrier board for our supercomputing module.
The NVIDIA Deep Learning SDK brings high-performance GPU acceleration to widely used deep learning frameworks such as Caffe, TensorFlow, Theano, and Torch. The powerful suite of tools and libraries are for data scientists to design and deploy deep learning applications. Following the Beta release a few months ago, the production release is now available with:
Columbia University researchers have created a robotic system that detects wrinkles and then irons the piece of cloth autonomously. Their paper highlights the ironing process is the final step needed in their “pipeline” of a robot picking up a wrinkled shirt, then laying it on the table and lastly, folding the shirt with robotic arms.