Yijing Watkins
Papers
1
Total Citations
18
H-Index
1
About
Yijing Watkins is a leading researcher at the intersection of neuromorphic computing and energy-efficient artificial intelligence. Her work focuses on developing and benchmarking biologically inspired algorithms for next-generation hardware, with particular emphasis on sparse coding and the Locally Competitive Algorithm (LCA). In her highly cited 2023 paper, "Implementing and Benchmarking the Locally Competitive Algorithm on the Loihi 2 Neuromorphic Processor," she demonstrated how LCA can achieve remarkable power efficiency on Intel’s Loihi 2 processor, building on foundational work with its predecessor. This contribution is pivotal for advancing low-power, real-time AI systems, offering a path toward scalable neuromorphic solutions that mimic neural processing. With 18 citations and growing impact, Watkins’ research is shaping the future of hardware-software co-design for intelligent edge devices. Her achievements highlight a commitment to bridging theoretical neuroscience with practical engineering, making her a key figure in the push for sustainable, high-performance computing.
Research Focus
Key Achievements
Top Papers
- 1