Microsoft Researchers Introduce SpaceEvo: A Game-Changer for Designing Ultra-Efficient and Quantized Neural Networks for Real-World Devices

In the realm of deep learning, the challenge of developing efficient deep neural network (DNN) models that combine high performance with minimal latency across a variety of devices remains. The existing approach involves hardware-aware neural architecture search (NAS) to automate model design for specific hardware setups, including a predefined search space and search algorithm. However, […]

The post Microsoft Researchers Introduce SpaceEvo: A Game-Changer for Designing Ultra-Efficient and Quantized Neural Networks for Real-World Devices appeared first on MarkTechPost.

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