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We’ve added Chinese University of Hong Kong, a pioneer in the field of deep learning, to our roster of CUDA Research Centers. It’s among the 31 newly designated CUDA Research and Teaching institutions over the past quarter – and it’s the first center of its kind in Hong Kong.

There are now more than 375 such centers in 50 countries around the world. Their mission: to prepare researchers, engineers and computer scientists for ground-breaking work using GPU accelerators.

The New Frontier of Machine Learning

Deep learning has emerged as one of the most promising recent innovations in machine learning. Researchers and practitioners are using deep learning to solve some of the most challenging problems in computer vision, and speech and pattern recognition.

This work involves training sophisticated numerical models that learn by using high-powered computer systems to analyze massive amounts of data. The trained models can then learn to become remarkably accurate at handling tasks, such as pedestrian detection and facial recognition.

The large-scale training required by deep learning is compute intensive. And this is where CUDA and GPUs come in. Using GPU computing, Chinese University hopes to make new deep learning breakthroughs.

One focus: intelligent video analysis for crowd management. The idea is to use new computational models to track and analyze crowd behavior using multiple video inputs streams. This could help the Hong Kong Police safely manage crowds at major public events, potentially spotting or anticipating terrorist activity in time for countermeasures to be taken.

To get such projects going, Chinese University will offer the first-ever course on CUDA and Deep Learning in Hong Kong. This course will be open to all the region’s universities.

CUDA Center Global Expansion

CUDA Research and Teaching Centers are at the forefront of innovation using CUDA and NVIDIA GPUs. New centers are popping up at a brisk pace around the world.

CUDA Teaching Centers ready tens of thousands of graduating students each year to take advantage of the power of GPUs. They get teaching kits, textbooks and software licenses. They also get NVIDIA CUDA architecture-enabled GPUs for teaching labs and discounts for extra hardware.

CUDA Research Centers embrace GPU computing across research fields. They get access to events with key researchers and academics, an NVIDIA technical liaison and specialized training sessions.

As well as Chinese University, we’ve recently named 30 other institutions CUDA Research and Teaching Centers:

New CUDA Research Centers:

  • Huazhong University of Science and Technology (China)
  • Institute of Modern Physics, CAS (China)
  • Texas A&M University (U.S.)
  • Università degli Studi di Parma (Italy)
  • University of California, Santa Barbara (U.S.)
  • University of Colorado (U.S.)
  • University of Georgia (U.S.)
  • University of Johannesburg (South Africa)
  • University of Malta (Malta)
  • University of Rostock (Germany)
  • University of Wisconsin, Madison (U.S.)

New CUDA Teaching Centers:

  • Annasaheb Dange College of Engineering & Technology, Ashta (India)
  • Buckinghamshire New University (UK)
  • Dhirubhai Amabani Institute of ICT (India)
  • Edinburgh Napier University (UK)
  • eiTRA (India)
  • FAST-NU (Pakistan)
  • Jamia Millia Islamia (India)
  • King Mongkuts’s University of Technology Thonburi (Thailand)
  • Pimpri Chinchwad College of Engineering (India)
  • The University of Edinburgh (UK)
  • Universidad de La Frontera (Chile)
  • University of Central Florida (US)
  • University of Córdoba (Spain)
  • University of Electronic Science & Technology of China (China)
  • University of Massachusetts Lowell (US)
  • University of Pécs (Hungary)
  • Ural Federal University (Russia)
  • Zhejiang University (China)

For more information on NVIDIA research activities and these programs, please visit the NVIDIA Academic Programs website.