Honoring NVIDIA CEO, what did the VinFuture Award Council say?
Người Lao Động•08/12/2024
(NLDO) - The VinFuture 2024 Main Prize honors businessman Jensen Huang, founder and CEO of NVIDIA Corporation (USA), a non-academic figure.
The VinFuture 2024 Main Prize worth 3 million USD on the evening of December 6 named 5 individuals, including Professor Yoshua Bengio (University of Montreal, Canada), Professor Geoffrey E. Hinton (Vector Institute, Canada), Mr. Jensen Huang (NVIDIA Corporation, USA), Professor Yann LeCun (New York University, USA), and Professor Fei-Fei Li (Stanford University, USA) for their groundbreaking contributions to promoting the advancement of deep learning.
Prime Minister Pham Minh Chinh presents the Main Prize of VinFuture Prize 2024 to scientists
This is also a rare occasion for a representative from the industry to be honored at an international science and technology award - considered the pinnacle stage of the research community. Explaining the decision to award the prize to an entrepreneur, Professor Kostya S. Novoselov, University of Manchester (UK), who has been a member of the VinFuture Prize Council for the past 4 years, admitted that deciding on the winning project was a difficult process. The VinFuture Scientific Council had a high level of consensus to make the right decision to honor the technology that has changed the world in recent times. "Without the combined power of computing, modern GPUs and TPUs, specific databases and algorithms, such an achievement would not have been possible" - the winner of the 2010 Nobel Prize in Physics explained his "yes vote" for entrepreneur Jensen Huang.
VinFuture 2024 Main Prize honors entrepreneur Jensen Huang, founder - CEO of NVIDIA Corporation
Dr. Xuedong David Huang, Chief Technology Officer of Zoom Corporation (USA), Fellow of the US National Academy of Engineering, Member of the VinFuture Prize Council, affirmed that deep learning is a step forward for humanity, achieved thanks to three factors. First is the deep learning algorithm. This is the problem that Professors Geoffrey Hinton, Yann LeCun and Yoshua Bengio have been researching tirelessly to push the boundaries. The world's leading expert on AI emphasized that algorithms alone are not enough. The deep learning revolution that the world is witnessing requires a huge amount of data and an accelerated computing platform (GPU). Therefore, this year's VinFuture Prize also honors Professor Fei-Fei Li, who made fundamental contributions to ImageNet and the accompanying dataset. In particular, Dr. Huang highly appreciated the contribution of Mr. Jensen Huang, who pioneered in bringing the power of GPUs to the entire community. "NVIDIA CEO's contribution is extremely important for the explosion of the deep learning revolution," Dr. Huang emphasized.
Businessman Jensen Huang appeared at the VinFuture 2024 awards ceremony on the evening of December 6 at the Hoan Kiem Theater, Hanoi.
Sharing the same view, Professor Soumitra Dutta, Oxford University (UK), member of the VinFuture Prize Council, assessed that without the pioneering resources from NVIDIA, computational applications would not be able to run, and would not be able to produce extraordinary calculations or predictions and the rapid development of AI as we have witnessed. As the person who directly nominated NVIDIA CEO, Professor Monica Lam (Stanford University, USA), said that nominating hardware experts is a way to recognize the outstanding contributions of the technology industry. Nobel has honored people doing research on AI, but for AI to achieve such a profound impact, it is impossible without hardware. According to Professor Lam, the commercial success of businessman Jensen Huang is a clear demonstration of the importance of putting science into practice. Meanwhile, Professor Richard Henry Friend, Chairman of the VinFuture Prize Council, once pointed out a "new anomaly" that has appeared in the past 50 years. It is a tendency to separate those who work in industry from those who only do research. According to him, for the world to function well, it is necessary to connect both. VinFuture has demonstrated a different vision and approach by evaluating research comprehensively, in a multidimensional relationship instead of just honoring individual studies.
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