NVIDIA presented the latest Volta architecture-based NVIDIA Tesla V100 GPU accelerator to 15 researchers participating in the NVIDIA AI Labs program at the International Conference on Machine Learning (ICML) 2017, held in Sydney from August 6 to 11 (local time).

Prior to this, NVIDIA also presented NVIDIA Tesla accelerators to world-class artificial intelligence researchers at the Computer Vision and Pattern Recognition (CVPR) 2017 conference on artificial intelligence held in Honolulu, Hawaii last month.

The NVIDIA V100 presented that day is the world's most powerful GPU, delivering over 100 teraflops of deep learning performance. In particular, NVIDIA founder and CEO Jensen Huang personally signed the donated GPUs to encourage research by AI researchers.

AI researchers who won the NVIDIA Pioneering Research Awards

The event also included the presentation of the newly established NVIDIA Leading Research Award. This is a new program designed to celebrate the acceptance of research papers by NVAIL partners at conferences such as ICML.

The first award-winning researchers are currently working on: Text modeling tailored to improved variational autoencoders utilizing enlarged brain folds at Carnegie Mellon University, Circular road networks at IDSIA/Dalle-Mollet Artificial Intelligence Laboratory in Switzerland, Core datasets for vector compression via graph-connected applications at MIT, In-depth study of memorization methods in deep networks at the Montreal Institute for Learning Algorithms, Identification of Nash equilibria in static games with random rewards at Tsinghua University, Model-agnostic meta-learning for rapid application of deep networks at the University of California, Berkeley, Asymmetric training for three-domain applications at the University of Tokyo, and Deep Spectral Clustering Learning at the University of Toronto.

“It’s very gratifying to see that NVIDIA is deeply interested in our research, including inviting us to review the content of our research papers,” said award-winning researcher Sergey Levin of UC Berkeley.

“NVIDIA supports innovation at every level,” said Ian Buck, vice president and general manager of accelerated computing at NVIDIA. “Our NVAIL partners are at the forefront of AI, driving new discoveries that benefit our lives every day.”