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Author

Amarda Shehu

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Book Open access Aug 2026

The Autonomous AI Scientist of 2030 Needs Inferential Arbitrage

This blue sky paper casts scientific investigation as an information market, and formalizes this principle as Inferential Arbitrage: a multi-fidelity Markov Decision Process in which agents maximize inferential return on investment.

A. Shehu · 0 citations
Aug 2026

AI Literacy as Experimental Practice: Students as Investigators

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.

A. Shehu, Adonyas Ababu, Asma Akbary et al. · 0 citations
Book Open access Jul 2026

EvoBatch: A Mini-Batch, Compute-Constrained Evolutionary Algorithm Reduces the Generalization Gap in Deep Learning

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 · 0 citations
Aug 2026

AI Literacy as Experimental Practice: Students as Investigators

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. · 0 citations

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