AMD, NTU Singapore Launch AI Lab|
December 17, 2018
and Nanyang Technological University, Singapore have joined forces to
launch a Data Science and Artificial Intelligence Lab, which will
nurture next-generation tech leaders equipped with the latest
industry-driven digital skills.
The S$4 million joint Data Science and AI Lab will leverage AMD’s
deep-learning technologies and NTU’s global strengths in machine
learning, artificial intelligence (AI) and data science, to complement
the university’s Data Science and Artificial Intelligence undergraduate
NTU students will be exposed to real world applications such as
developing software algorithms used in security fields like
identification and motion detection. They will also work on big data and
analytics which are now frequently used by leading organisations. For
example, students will get opportunities to develop clinical support
solutions using big data analysis to aid medical diagnosis.
Students will also undergo
training to participate in supercomputing competitions using AMD’s
versatile open source software, Radeon Open Compute (ROCm) platform.
This software facilitates ultrascale or hyperscale computing, a form of
high-performance computing that can simulate complex systems within just
a few days where it typically used to take years.
Potential research projects and real-world machine learning and deep
learning applications that students are expected to work with in the lab
will leverage AMD’s open software platform for accelerated computing.
For example, with the ROCm open software platform, Tensorflow (open
source machine learning framework) users will benefit from graphics
processing unit (GPU) acceleration and a more robust open source machine
The collaboration will also
provide NTU students with local and overseas attachment opportunities
with AMD. From the next academic year in 2019, NTU undergraduates will
be able to intern at AMD’s Shanghai Research and Development Center (SRDC)
and the Singapore Product Development Center (SPDC). NTU will also
support AMD’s engineers who wish to pursue PhD programmes through EDB’s
Industrial Post-graduate Programme (IPP).
“The philosophy behind AMD’s open source deep-learning architecture is
about flexibility and choice – for developers and academics to have a
range of hardware vendor-agnostic tools to innovate at scale. NTU is the
premier institution for artificial intelligence, and we’re very excited
to bring our technologies to empower the participating students to
freely explore the diversity of deep-learning applications,” said Allen
Lee, Corporate Vice President for Asia Datacenter Group, General Manager
for China R&D Center, AMD.
NTU’s Dean for the College of Engineering, Professor Louis Phee, said,
“This collaboration with AMD highlights NTU’s drive in nurturing strong
relations with top industry partners to provide students with
industry-relevant education. This will not only give them first-hand
insights in solving real-world challenges, but also give them an edge
when navigating today’s dynamic workplace environment.”
AMD will provide one instance of AMD’s current generation of server
processor (EPYC) and Radeon Instinct MI25 accelerator that can be scaled
to handle hyperscale workloads to start. AMD plans to provide the
university with its latest server technologies, such as the Radeon
Instinct MI60 accelerators in 2019 and beyond. AMD’s AI and machine
learning experts will work closely with NTU professors to conduct joint
training and workshop sessions for industry members.
collaboration will also support Singapore’s digital initiatives such as
the AI.SG programme and support the nation’s transition into industry
“The establishment of the AI and Data Science Lab between AMD and NTU
today is a great example of how industry and academia can leverage
transformative technologies like AI to develop real-world solutions.
This partnership is testament to the company’s confidence in Singapore
and the innovation cluster we have here. Such an effort will also deepen
Singapore’s talent pool for AI, and provide Singaporeans with the
necessary skillset to participate in the opportunities that rapid
technological adoption is bringing,” said Mr. Ling Yuan Chun, Deputy
Director, Semiconductors, Singapore Economic Development Board.