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New discrete metaheuristic MOSHO accelerates hardware-aware NAS

By PulseAugur Editorial · [3 sources] ·

Researchers have developed MOSHO, a novel discrete metaheuristic for hardware-aware neural architecture search. This method addresses limitations of continuous formulations by using discrete architecture-editing operators, enhancing exploration and search efficiency. MOSHO demonstrated competitive performance against NSGA-II on a merged benchmark, achieving similar Pareto fronts while significantly reducing search runtime by 96.4%. AI

IMPACT This research could lead to more efficient and cost-effective development of specialized AI hardware.

RANK_REASON The cluster contains an academic paper detailing a new algorithm for neural architecture search.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

New discrete metaheuristic MOSHO accelerates hardware-aware NAS

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The cluster contains an academic paper detailing a new algorithm for neural architecture search.
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COVERAGE [3]

  1. arXiv cs.AI TIER_1 English(EN) · Nazim Abdeerhmane Aouni, Zakaria Soualah Mohammed, Maroua Ogab, Nour El Imane Elbar, Rayane Rahmat Errahmane Smara, Billel Moussous, Adriane Anis Khaled, Malika Bessedik, Fatima Benbouzid Si Tayeb, Hadjer Benmeziane ·

    MOSHO: A Native Discrete Shark-Inspired Metaheuristic for Hardware-Aware Neural Architecture Search

    arXiv:2610.33358v1 Announce Type: cross Abstract: Hardware-aware neural architecture search (NAS) requires jointly optimizing predictive accuracy and device-specific latency over discrete search spaces. While multi-objective swarm optimizers show promise, continuous formulations …

  2. arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Hadjer Benmeziane ·

    MOSHO: A Native Discrete Shark-Inspired Metaheuristic for Hardware-Aware Neural Architecture Search

    Hardware-aware neural architecture search (NAS) requires jointly optimizing predictive accuracy and device-specific latency over discrete search spaces. While multi-objective swarm optimizers show promise, continuous formulations such as the Multi-Objective White Shark Optimizer …

  3. Hugging Face Daily Papers TIER_1 English(EN) ·

    MOSHO: A Native Discrete Shark-Inspired Metaheuristic for Hardware-Aware Neural Architecture Search

    Hardware-aware neural architecture search (NAS) requires jointly optimizing predictive accuracy and device-specific latency over discrete search spaces. While multi-objective swarm optimizers show promise, continuous formulations such as the Multi-Objective White Shark Optimizer …

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