Abstract—Real-time artificial intelligence (AI) decision systems must resolve complex inputs — a video frame, a network flow, a multi-agent traffic scene — within a bounded time budget. A recurring, if rarely named, strategy for meeting this budget is the classical divide-and-conquer (D&C) paradigm: partition the probl...
Falak Ali· International Journal of Eme...· 0 citations
Abstract—Real-time artificial intelligence (AI) decision systems must satisfy three constraints that conventional machine learning pipelines rarely address together: bounded inference latency, deterministic execution under a real-time operating system (RTOS), and resilience against adversarial or unauthorized interfere...
Falak Ali· International Journal of Eme...· 0 citations
Abstract—Real-time artificial intelligence (AI) decision systems must satisfy three constraints that conventional machine learning pipelines rarely address together: bounded inference latency, deterministic execution under a real-time operating system (RTOS), and resilience against adversarial or unauthorized interfere...
Falak Ali· International Journal of Eme...· 0 citations
Abstract—Real-time artificial intelligence (AI) decision systems must resolve complex inputs — a video frame, a network flow, a multi-agent traffic scene — within a bounded time budget. A recurring, if rarely named, strategy for meeting this budget is the classical divide-and-conquer (D&C) paradigm: partition the probl...
Falak Ali· International Journal of Eme...· 0 citations
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