June 18th: Dr. Schuman

 

June 18th: Professor Catherine Schuman

June 18, 2024

Today, Professor Catherine Schuman, a Ph.D. in Computer Science at the University of Tennessee, talked with the STEM Skills class about her research and her projects. 



She currently specializes in the novel realms of artificial intelligence and computing in things like machine learning on high-performance computing (HPC). HPC systems consist of multiple powerful processors, large memory capacities, and fast interconnects, allowing them to handle large-scale computations and data-intensive tasks. Utilizing HPC for machine learning can significantly reduce training times, enable the processing of massive datasets, and improve the scalability and performance of machine learning algorithms. This approach is essential for advancing state-of-the-art models and for applications in areas such as scientific research, big data analytics, and real-time decision-making.


Furthermore, she also worked in Neuromorphic Computing. Neuromorphic computing is an approach to designing computing systems inspired by the architecture and functioning of the human brain. This field aims to develop hardware and software that mimic neural structures and processes. The goal is to create more efficient and powerful computing systems for tasks such as pattern recognition, sensory processing, and autonomous learning. Neuromorphic systems use spiking neurons and synaptic connections, which differ from traditional digital computing by processing information in an event-driven manner, similar to biological neural networks. This can lead to significant improvements in power efficiency and computational speed, especially for AI applications.




For more information about Dr. Schuman, check out this link:

https://www.eecs.utk.edu/people/catherine-schuman/





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