US$60,000 per capita: 2024 NVIDIA Scholarship list announced, five Chinese selected

This Friday, the list of candidates for the highly anticipated NVIDIA Scholarship was announced.

For more than two decades, the NVIDIA Graduate Fellowship Program has provided graduate students with outstanding work support related to NVIDIA technology. NVIDIA has awarded $6 million in grants to nearly 200 students to date, advancing research in areas such as machine learning, computer vision, robotics and systems programming.

This year’s scholarship program is designed to support 10 doctoral students conducting research in the field of computing innovation, with each receiving up to $60,000 in scholarships

The NVIDIA Scholarship is open to scholars from all over the world, and there is fierce competition every year. This year, there are more than 500 candidates, and five of the ten finalists are Chinese.

According to reports, the winners will enter NVIDIA for summer internships before the scholarship year. The work they participate in is at the forefront of accelerated computing - including deep learning, robotics, computer vision, and computer science. Projects such as graphics circuits, autonomous driving and programming systems.

NVIDIA Chief Scientist Bill Dally said that the recipients of the NVIDIA Scholarship are the most talented researchers in the world, and the scientific problems they are studying are of vital importance.

Ten inductees

The 2024-2025 scholarship recipients include:

Bailey Miller

From Carnegie Mellon University (CMU)

Research direction: Developing practical Monte Carlo methods for physical simulation to match the scalability and robustness of Monte Carlo rendering algorithms, focusing on designing accelerated random walk methods that are easy to differentiate, and using volumetric models to handle tricky and complex geometries.

The content that needs to be rewritten is: Nicklas Hansen

from California University of San Diego (UCSD), mentored by Xiaolong Wang and Hao Su.

Research direction: Develop data-driven world models to enable robots to understand and interact with the real world.

Payman Behnam

From Georgia Institute of Technology , mentored by Alexey Tumanov.

Research direction: The intersection of machine learning and systems dedicated to high-performance, low-latency and energy-saving design

Needs to be rewritten The content is: Reinhard Wiesmayr

from ETH Zurich, Switzerland

Research content: In wireless communication systems, research through machine learning-assisted signal processing methods

The content that needs to be rewritten is: Song Weige

Jia-Bin Huang and David Jacobs are from the University of Maryland, College Park Mentor

Research direction: Focus on generative models applied to images and videos, aiming to develop comprehensive methods for content generation, controllable human guidance and creation processes, and promotion of human participation Easy to interact interface

The content that needs to be rewritten is: Toluwanimi Odemuyiwa

From the University of California, Davis (UC Davis), mentored by John Owens.

Research direction: Design and develop end-to-end abstractions and frameworks for graph algorithms using tensor algebra languages, from platform-independent declarative descriptions of computation to platform-specific implementations

Yiming Li

from New York University, tutored by Chen Feng ).

Research direction: We are committed to developing robust, efficient and scalable artificial intelligence algorithms for 3D scene parsing and decision-making based on high-dimensional sensory input. At the same time, we will also organize large-scale data sets to effectively train and verify these algorithms for application on autonomous robots

Yue Zhao(Yue Zhao)

The tutor is Philipp Krähenbühl’s student from the University of Texas at Austin

Research content: Using machines Learning algorithms are trained on workstation-grade hardware and applied to everyday devices such as laptops and mobile devices for widespread use, training, and collaborative sharing

李志奇(Zhiqi Li)

The tutor is Tong Lu from Nanjing University

Research field: Exploring the development of autonomous driving perception technology with vision as the core

Zihao Ye’s name needs to be rewritten

from the University of Washington, tutored by Luis Ceze.

Research directions: machine learning compilation, basic model service system and sparse computing.

Other finalists

NVIDIA also announced the five finalists for the 2024-2025 scholarship. Their list is as follows:

Andrew Sauter, graduated from Georgia Institute of Technology

Bobby Venema Yogatama , from the University of Wisconsin Madison

Guanzhi Wang, from the California Institute of Technology (Caltech), mentored by Georgia Gkioxari and Yisong Yue.

##Kim Sehoon graduated from the University of California, Berkeley (UC Berkeley)

Xi Deng, from Cornell University, mentored by Steve Marschner.

We look forward to these researchers making their own contributions in different fields

In the meantime , as the top artificial intelligence conferences EMNLP and NeurIPS are approaching, Nvidia is recruiting interns. Jim Fan, senior scientist at NVIDIA and head of the AI ​​Agent Group, said that this winter, NVIDIA has prepared the just-released GPU

for everyone.

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