AI AND EDUCATION

AI in education is a national priority.

THE FUTURE OF EDUCATION

Artificial intelligence will be an enormous part of the future workforce. It’s expected to generate 2 million net job gains versus losses by 2025. Our partnerships with leading research institutions, corporations, and youth-focused training organizations reflect our commitment to making the technology available to everyone and preparing employees for a future AI-powered economy.

CSR AI Education Deep Learning

DEEP LEARNING

Artificial intelligence in education is a national imperative   

AI is touching a growing number of jobs and will be an enormous part of the future workforce. Recognizing the importance of education, NVIDIA supports youth and adult education programs that harness our research and technology platforms to help foster a deeper understanding of AI and enable people to take advantage of the opportunities it offers worldwide.

We partner with elementary through post-graduate schools on programs that help educate students on deep learning. And our GPU Technology Conference events showcase thousands of efforts from educators and researchers globally working on deep learning.   

RESEARCH AND GRANTS

NVIDIA focuses on research that benefits many. The NVIDIA Research team of 200 people worldwide is focused on advances in machine learning, computer vision, self-driving cars, robotics, graphics, computer architecture, and programming systems.

We make donations of technology through our GPU Grant Program to universities around the world that are pioneering work in deep learning. Professors, researchers, and advisors are encouraged to seek grants for groundbreaking work in deep learning.

In April, we granted 11 graduate students who are at the forefront of GPU computing research awards of up to $50,000 each. Winners included Daniel George of the University of Illinois at Urbana-Champaign for research on deep learning in astrophysics and Huizi Mao of Stanford University for using algorithms and GPUs to tackle object detection in video.

NVIDIA also offers teaching kits co-developed by leading universities. These offer complete course programs for educators in a variety of academic disciplines that stand to benefit from GPU-accelerated computing.

CSR AI Education Research Grants
CSR AI Education Research Grants

RESEARCH AND GRANTS

NVIDIA focuses on research that benefits many. The NVIDIA Research team of 200 people worldwide is focused on advances in machine learning, computer vision, self-driving cars, robotics, graphics, computer architecture, and programming systems.

We make donations of technology through our GPU Grant Program to universities around the world that are pioneering work in deep learning. Professors, researchers, and advisors are encouraged to seek grants for groundbreaking work in deep learning.

In April, we granted 11 graduate students who are at the forefront of GPU computing research awards of up to $50,000 each. Winners included Daniel George of the University of Illinois at Urbana-Champaign for research on deep learning in astrophysics and Huizi Mao of Stanford University for using algorithms and GPUs to tackle object detection in video.

NVIDIA also offers teaching kits co-developed by leading universities. These offer complete course programs for educators in a variety of academic disciplines that stand to benefit from GPU-accelerated computing.

CSR AI Education Deep Learning

ONGOING EDUCATION

Like previous industrial revolutions, AI is predicted to preside over a period of business disruption, recovery, transformations, and overall economic and employment growth. Contrary to conventional thinking, AI is expected to generate 2 million in net jobs gains versus losses by 2025, according to the analyst firm Gartner.

NVIDIA has reached tens of thousands of individuals seeking to extend their knowledge of AI into professional careers through the Deep Learning Institute. The DLI is at the forefront of promoting new skills and opportunities in an evolving world of technology.

Offering free online courses and instructor-led workshops at conferences and onsite at businesses across the globe, the DLI provides remote and local access to education in deep learning and accelerated computing. Through this coursework, people can earn certificates for demonstrating real-world understanding of concepts and best practices.

DLI partnerships include an educator network that consists of experts from NVIDIA as well as the online educational providers Coursera and Udacity. We’re also working with Microsoft to teach deep learning for robotics.

NVIDIA is working with Udacity to help educate students in robotics through the online learning school’s nanodegree programs. The collaboration focuses on robotics hardware, including our own Jetson TX2, which is offered at a discount to eligible students.

“Deep learning is affecting a broad range of industries, and we’re seeing huge demand for people with the skills to apply the new technology effectively,” said Mark Ebersole, director of the DLI.

YOUTH EDUCATION

The NVIDIA Techsplorer program offers disadvantaged youths access to artificial intelligence and deep learning education sessions, encouraging studies in science, technology, engineering, and math (STEM) that may lead to AI careers. The program, created in partnership with nonprofit Iridescent, poses engineering challenges that introduce students to core technical concepts and offer the support of NVIDIA engineers.

Techsplorer teaches students about parallel processing in AI, neural networks, and the use of sensors in autonomous driving.

We also support student efforts in robotics. In 2017, we sponsored 50 teams from high schools that competed in the FIRST robotics competition for $50 million in college scholarships. The competition aims to kindle student interest in STEM fields by emphasizing a supportive mix of competition and collaboration.

CSR AI Education Research Grants
CSR AI Education Research Grants

YOUTH EDUCATION

The NVIDIA Techsplorer program offers disadvantaged youths access to artificial intelligence and deep learning education sessions, encouraging studies in science, technology, engineering, and math (STEM) that may lead to AI careers. The program, created in partnership with nonprofit Iridescent, poses engineering challenges that introduce students to core technical concepts and offer the support of NVIDIA engineers.

Techsplorer teaches students about parallel processing in AI, neural networks, and the use of sensors in autonomous driving.

We also support student efforts in robotics. In 2017, we sponsored 50 teams from high schools that competed in the FIRST robotics competition for $50 million in college scholarships. The competition aims to kindle student interest in STEM fields by emphasizing a supportive mix of competition and collaboration.

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