Physicists from more than a dozen institutions used the power of the GPU-accelerated Titan Supercomputer at Oak Ridge National Laboratory to calculate a subatomic-scale physics problem of measuring the lifetime of neutrons.
Researchers from NVIDIA, led by Stan Birchfield and Jonathan Tremblay, developed a first of its kind deep learning-based system that can teach a robot to complete a task by just observing the actions of a human.
NVIDIA Researchers will present 14 accepted papers and posters, five of them speaking sessions, at the annual Computer Vision and Pattern Recognition (CVPR) conference June 18 – 22 in Salt Lake City, Utah.
The method has been described as a “total game changer.” Researchers at the Allen Institute for Cell Science, a Seattle research group founded by Microsoft co-founder Paul Allen, announced this week they developed the first predictive 3D model of
At the GPU Technology Conference in Silicon Valley earlier this year, NVIDIA CEO Jensen Huang introduced a new acronym named PLASTER to address seven major challenges for delivering AI-based services: Programability, Latency, Accuracy, Size, Throu