NVIDIA Global Impact Award

What is the NVIDIA Global Impact Award?

2018 Winners

The winners were announced at the GPU Technology Conference, March 26-29, in Silicon Valley, see the link here:

1. Princeton University
   https://blogs.nvidia.com/blog/2018/03/05/ai-deep-learning-global-impact-awards-princeton/
2. EDANYA research group, University of Malaga
   https://blogs.nvidia.com/blog/2018/03/12/global-impact-award-finalist-tsunami-research/

Fourteen applications from half a dozen nations were submitted for the Global Impact Award for 2018.

2018 Finalists

This year finalists are:

1. Massachusetts General Hospital - Paging Dr. Algorithm: AI Comes to Rescue
   https://blogs.nvidia.com/blog/2018/02/26/ai-radiology-machine-learning-global-impact-awards/
2. Princeton University - Princeton Team Using AI for Fusion Up
   https://blogs.nvidia.com/blog/2018/03/05/ai-deep-learning-global-impact-awards-princeton/
3. EDANYA University of Malaga reserch group
   https://blogs.nvidia.com/blog/2018/03/12/global-impact-award-finalist-tsunami-research/
4. University of Washinton - Give MRIs an AI Facelift
   https://blogs.nvidia.com/blog/2018/03/20/university-of-washington-mri-mra-oct-angiography-opthamology/

 

Previous years’ Global Impact Award winners and nominees 

2017   

 Winner: University of Maryland and Mayo Clinic Win $150,000 in Global Impact Award

https://blogs.nvidia.com/blog/2017/05/08/global-impact-awards/

 Fourteen applications from half a dozen nations were submittedfor the Global Impact Awards for 2017.

All the five 2017 finalists:

1. The Indian Institute of Technology Guwahati,

 https://blogs.nvidia.com/blog/2017/04/03/ai-pathologist-helps-zero-in-on-correct-cancer-diagnosis/

2. The University of Maryland’s Institute for Advanced Computer Studies

 https://blogs.nvidia.com/blog/2017/04/13/beagle/

3. Mayo Clinic Turns to AI to Improve Brain Tumor Treatment

https://blogs.nvidia.com/blog/2017/04/17/ai-to-predict-brain-tumor-genomics/

4. The University of Oxford

 https://blogs.nvidia.com/blog/2017/04/30/gpu-powered-glasses/

5. The University of Washington.

 https://blogs.nvidia.com/blog/2017/05/03/how-one-professor-is-advancing-lower-limb-treatments/

2016

Winner: Medical Marvel: Duke’s GPU-Powered Imaging

https://blogs.nvidia.com/blog/2016/04/06/duke/

Honorable mention to  Imperial College London - Imperial Collegue Uses GPUs to Spot Brain Damage

https://blogs.nvidia.com/blog/2016/03/18/brain-damage/

Nearly 30 applications from 13 nations were submitted for the annual award

All the five 2016 finalists:

1. Chalmers University of Technology (Sweden) - GPUs Help Monitor Rising Sea Levels with Pinpoint Accuracy 

https://blogs.nvidia.com/blog/2016/02/26/rising-sea-levels/

 2. Duke University - How GPUs Help Eye Surgeons See 20/20 in the Operating Room 

https://blogs.nvidia.com/blog/2016/03/03/gpu-eye-microsurgery/

3. George Mason University - How Haiti’s Earthquake Inspired New Ways to Map Structural Safety Using GPUs 

https://blogs.nvidia.com/blog/2016/03/11/gpus/

4. Imperial College London - Imperial Collegue Uses GPUs to Spot Brain Damage

https://blogs.nvidia.com/blog/2016/03/18/brain-damage/

5. Standford University - GPUs Help Map Worldwide Poverty

https://blogs.nvidia.com/blog/2016/03/25/mapping-poverty-data-gpus/

The 5 Finalists are gathered in this publication: 

https://fudzilla.com/news/40366-five-finalists-compete-for-nvidia-2016-global-impact-award-this-week

2015

Winner: San Diego Supercomputer Center’s Quake Research 

https://blogs.nvidia.com/blog/2015/03/16/global-impact-award-winner/

More than two dozen applications from 11 nations were submitted

The other 2015 finalists

1. Baylor College of Medicine, for using GPUs to unfold loops in a cell’s genome.
   https://blogs.nvidia.com/blog/2015/02/11/gpus-help-decode-genome/
2. The Institute of Bioinformatics at the Johannes Kepler University in Linz, Austria, which is deploying GPUs for toxicity prediction.
   https://blogs.nvidia.com/blog/2015/02/18/johannes-kepler-university/
3. Oak Ridge National Laboratory, where researchers use GPUs to produce high-definition global population data.
https://blogs.nvidia.com/blog/2015/02/27/mapping-the-world-with-gpus/
4. University of Illinois, Urbana-Champaign, where GPU-accelerated supercomputers analyze communication between cells and viruses.
   https://blogs.nvidia.com/blog/2015/03/12/how-gpus-keep-pace-with-viruses/