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Center of Excellence for Generative AI
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A layered defense can thwart most self-state attacks on AI agents, but a hidden vulnerability persists that challenges current OS security paradigms.
Natural paper revisions can be harnessed to train AI agents for precise and context-aware editing of complex scientific diagrams.
Self-improving agents can evolve autonomously with minimal human input, reshaping our approach to AI adaptability and deployment.
LLMs can explore codebases far more effectively by planning test sequences that balance immediate coverage with long-term reachability, boosting branch coverage by up to 77% compared to greedy methods.
