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Multimodal agents can now reason, plan, and execute actions more effectively by integrating perception as a core component, not just an auxiliary interface.
LLMs can parrot CAN bus data, but CAN-QA reveals they fail at the temporal reasoning and multi-condition inference needed for real-world vehicle security forensics.
Quantum hardware can regularize machine learning models, improving generalization on small, complex datasets where classical methods struggle.
