Seminar titled: “Low-Data Learning in Resource-Constrained Environments – From Few-Shot Learning to Zero-Shot Learning”
asmaaaljader2026-10-24T13:12:12+00:00The Department of Artificial Intelligence at the College of Computer Science and Mathematics held a seminar titled "Few-Shot Learning to Zero-Shot Learning: Learning in Resource-Constrained Environments" on Sunday, October 12, 2026. The session, held in Hall 01, was presented by Dr. Lama Akram Abdullah and attended by a number of the department’s faculty members and researchers. The seminar explored "Few-Shot Learning" and "Zero-Shot Learning" as practical solutions to the challenges posed by a scarcity of labeled data and limited computational resources. It highlighted how these techniques enable organizations and developing nations to build effective artificial intelligence models at a lower cost. [Read More]



