Across AI-driven science, generative capacity has outpaced investigative judgment. It is now possible to produce millions of plausible candidates in hours, but not yet to decide which merit expensive validation. This asymmetry defines the central bottleneck of scientific discovery for the next decade. This blue sky pap...
Amarda Shehu· Proceedings of the 32nd ACM...· 0 citations
There is ongoing academic debate on whether one can teach AI literacy to undergraduate students across majors, and if yes, how. This article reports a case study: a three-week midterm project embedded in an undergraduate “AI-for-all” course. Students designed reasoning tasks, ran controlled comparisons across widely us...
A. Shehu, Adonyas Ababu, Asma Akbary et al.· Communications of the ACM· 0 citations
EvoBatch is introduced, a novel Hybrid Evolutionary Algorithm that re-frames deep network optimization as an explicitly multi-objective problem, and establishes that compute-constrained, multi-objective evolutionary optimization offers both an effective and an efficient alternative to single-objective gradient methods...
Toki Tahmid Inan, Shahana Shultana, Amarda Shehu· Annual Conference on Genetic...· 0 citations
A three-week midterm project embedded in an undergraduate “AI-for-all” course investigated whether AI literacy can be taught to undergrads, and shows any user how to test an AI system rather than trust it blindly.
Amarda Shehu, Adonyas Ababu, Asma Akbary et al.· Communications of the ACM· 0 citations
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