BY ADAM DOE
Song Fu
Haihua Chen
Ajita Rattani
Yunhe Feng
power and cooling infrastructure that can enable the training to run continuously. Fu: To train the model, it will process a huge amount of data, try to find the pattern and then to optimize the millions of parameters. That will use a lot of computation power, so that’s why we need data centers. What is the attraction of AI training
Another thing is North Texas is becoming a technology corridor. A lot of big [information technology] companies are moving specifically to North Texas, and UNT has a lot of people with expertise in AI, data science and high-performance computing. I think this is a good combination of both resources and intelligence.
and development in North Texas, specifically the Denton area? Fu: To build the data centers, we need the power and space. For Denton, [the city has] a power plant next to the data centers to provide a power supply. It’s close to the com- munity airport in Denton and there’s a lot of open space around there. I think for both the power and space, Denton is well positioned for both.
What’s the future for the Data Science Institute? Fu: We have more than 70
members across all colleges at UNT. Not just from computer science and engineering, but from music, science and UNT health. We have all of this expertise in different domains and we can utilize the resources from the data center ... and apply them in research.
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