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Facebook Donating 200 GPUs to European Researchers

Facebook Donating 200 GPUs to European Researchers

Facebook Donating 200 GPUs to European Researchers

The Facebook Artificial Intelligence Research (FAIR) lab announced a new Research Partnership Program to spur advances in Artificial Intelligence and machine learning — Facebook will be giving out 25 servers powered with GPUs, free of charge.

The first recipient to receive 32 GPUs in four GPU servers is Klaus-Robert Müller of TU Berlin. “Dr. Müller will receive four GPU servers that will enable his team to make quicker progress in two research areas: image analysis of breast cancer and chemical modeling of molecules,” FAIR engineering director Serkan Piantino and research lead Florent Perronnin wrote in a blog post.

Facebook will supply server recipients with all of the necessary software to run the servers and will also send some of its own researchers to various institutions for collaboration.

Facebook CEO Mark Zuckerberg made the announcement from Berlin in a live video feed on his Facebook page – he also discussed the latest in AI with Yann LeCun, who leads Facebook AI Research.

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Click on the image above to watch the fireside chat about the announcement.Facebook GPU fireside chat.

Click on the image above to watch the fireside chat about the announcement.Facebook GPU fireside chat.

“VR is going to need 10 years to become a very mainstream big thing,” Zuckerberg said during the live video feed. “But we’re committed to this. We have the resources to be able to invest and use these investments across the world to bring the research community into this.”

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My name is Sayed Ahmadreza Razian and I am a graduate of the master degree in Artificial intelligence .
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Related topics such as image processing, machine vision, virtual reality, machine learning, data mining, and monitoring systems are my research interests, and I intend to pursue a PhD in one of these fields.

جهت نمایش صفحه معرفی و رزومه کلیک کنید

My Scientific expertise
  • Image processing
  • Machine vision
  • Machine learning
  • Pattern recognition
  • Data mining - Big Data
  • CUDA Programming
  • Game and Virtual reality

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