NVIDIA Announces New AI Partners, Courses, Initiatives to Deliver Deep Learning Training Worldwide
31 10월 2017 - 10:00PM
NVIDIA today announced a broad expansion of its Deep Learning
Institute (DLI), which is training tens of thousands of students,
developers and data scientists with critical skills needed to apply
artificial intelligence.
The expansion includes:
- New partnerships with Booz Allen Hamilton and deeplearning.ai
to train thousands of students, developers and government
specialists in AI.
- New University Ambassador Program enables instructors worldwide
to teach students critical job skills and practical applications of
AI at no cost.
- New courses designed to teach domain-specific applications of
deep learning for finance, natural language processing, robotics,
video analytics and self-driving cars.
“The world faces an acute shortage of data scientists and
developers who are proficient in deep learning, and we’re focused
on addressing that need,” said Greg Estes, vice president of
Developer Programs at NVIDIA. “As part of the company’s effort to
democratize AI, the Deep Learning Institute is enabling more
developers, researchers and data scientists to apply this powerful
technology to solve difficult problems.”
DLI – which NVIDIA formed last year to provide hands-on and
online training worldwide in AI – is already working with more than
20 partners, including Amazon Web Services, Coursera, Facebook,
Hewlett Packard Enterprise, IBM, Microsoft and Udacity.
Today the company is announcing a collaboration with
deeplearning.ai, a new venture formed by AI pioneer Andrew Ng with
the mission of training AI experts across a wide range of
industries. The companies are working on new machine translation
training materials as part of Coursera’s Deep Learning
Specialization, which will be available later this month.
“AI is the new electricity, and will change almost everything we
do,” said Ng, who also helped found Coursera, and was research
chief at Baidu. “Partnering with the NVIDIA Deep Learning Institute
to develop materials for our course on sequence models allows us to
make the latest advances in deep learning available to
everyone.”
DLI is also teaming with Booz Allen Hamilton to train employees
and government personnel, including members of the U.S. Air Force.
DLI and Booz Allen Hamilton will provide hands-on training for data
scientists to solve challenging problems in healthcare,
cybersecurity and defense.
To help teach students practical AI techniques to improve their
job skills and prepare them to take on difficult computing
challenges, the new NVIDIA University Ambassador Program prepares
college instructors to teach DLI courses to their students at no
cost. NVIDIA is already working with professors at several
universities, including Arizona State, Harvard, Hong Kong
University of Science and Technology and UCLA.
DLI is also bringing free AI training to young people through
organizations like AI4ALL, a nonprofit organization that works to
increase diversity and inclusion. AI4ALL gives high school students
early exposure to AI, mentors and career development.
“NVIDIA is helping to amplify and extend our work that enables
young people to learn technical skills, get exposure to career
opportunities in AI and use the technology in ways that positively
impact their communities,” said Tess Posner, executive director at
AI4ALL.
In addition, DLI is expanding the range of its training content
with:
- New project-based curriculum to train Udacity's Self-Driving
Car Engineer Nanodegree students in advanced deep learning
techniques as well as upcoming new projects to help students create
deep learning applications in the robotics field around the
world.
- New AI hands-on training labs in natural language processing,
intelligent video analytics and financial trading.
- A full-day self-driving car workshop, “Perception for
Autonomous Vehicles,” available later this month. Students will
learn how to integrate input from visual sensors and implement
perception through training, optimization and deployment of a
neural network.
To increase availability of AI training worldwide, DLI recently
signed new training delivery partnerships with Skyline ATS in the
U.S., Boston in the U.K. and Emmersive in India.
More information is available at the DLI website, where
individuals can sign up for in-person or self-paced online
training.
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About NVIDIA NVIDIA’s (NASDAQ:NVDA) invention
of the GPU in 1999 sparked the growth of the PC gaming market,
redefined modern computer graphics and revolutionized parallel
computing. More recently, GPU deep learning ignited modern AI — the
next era of computing — with the GPU acting as the brain of
computers, robots and self-driving cars that can perceive and
understand the world. More information at
http://nvidianews.nvidia.com/.
For further information, contact:Ken
BrownCorporate CommunicationsNVIDIA Corporation(510)
290-2603kebrown@nvidia.com
Certain statements in this press release including, but not
limited to, statements as to: the expected numbers of
students, developers and government specialists to be trained in
AI; the expansion, benefits, impact and goals of DLI’s
offerings and collaborations, including partnerships, the NVIDIA
University Ambassador Program and training courses; the new
training content to be made available through DLI; and the number
DLI’s partners; and the release of new machine translation training
materials are forward-looking statements that are subject to
risks and uncertainties that could cause results to be materially
different than expectations. Important factors that could cause
actual results to differ materially include: global economic
conditions; our reliance on third parties to manufacture, assemble,
package and test our products; the impact of technological
development and competition; development of new products and
technologies or enhancements to our existing product and
technologies; market acceptance of our products or our partners’
products; design, manufacturing or software defects; changes in
consumer preferences or demands; changes in industry standards and
interfaces; unexpected loss of performance of our products or
technologies when integrated into systems; as well as other factors
detailed from time to time in the reports NVIDIA files with the
Securities and Exchange Commission, or SEC, including its Form 10-Q
for the fiscal period ended July 30, 2017. Copies of reports filed
with the SEC are posted on the company’s website and are available
from NVIDIA without charge. These forward-looking statements are
not guarantees of future performance and speak only as of the date
hereof, and, except as required by law, NVIDIA disclaims any
obligation to update these forward-looking statements to reflect
future events or circumstances.
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