Department
Computer Science and Cybersecurity
Document Type
Presentation
Abstract
Neuromorphic computing is a new type of computer hardware that is designed to work more like the human brain. Traditional AI computers move data back and forth between memory and processors, which wastes a lot of energy and slows things down. Neuromorphic chips solve this by combining memory and processing in the same place and using spiking neural networks (SNNs), which only use energy when active. This research looks at popular systems like Intel Loihi 2, IBM TrueNorth, and BrainChip Akida. These chips are more energy-efficient, work faster on tasks like robotics and edge AI, and can even learn new information on the spot. Neuromorphic computing could change the way AI systems handle real-time data in smart devices and robots.
Publication Date
Spring 4-9-2026
Recommended Citation
Khayr, M. (2026, April 9). Neuromorphic computing the future of AI hardware. Student Research Conference Spring 2026, Saint Paul, MN, United States. https://metroworks.metrostate.edu/student-scholarship/41
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Comments
Spring 2026: Student Research Conference