Tag: adversarial machine learning
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Crystal Fractional GNN for Accurate HEA Energy Prediction
Discover how the crystal fractional graph neural network improves energy prediction accuracy in high-entropy alloys using AI-driven models.
AI in Number Theory: LLMs for Algorithms & Verification
Explore how AI and LLMs enhance number theory by generating algorithms and verifying conjectures with machine learning ensemble methods.
Generalized Turing Test: New Standard for AI Intelligence
Discover the Generalized Turing Test, a novel framework to compare AI intelligence beyond traditional benchmarks using indistinguishability.
NanoResearch: Personalized Automation for Smarter Research
Discover NanoResearch, an AI framework that personalizes research automation by evolving skills, memory, and policies for efficient, user-centric results.
Interpretable ML Limits in Football: Elite to University
Study reveals limited transferability of interpretable machine learning models from elite football leagues to university-level competition.