NAS algorithms, on the other hand, are very efficient problem solvers that can search the solution space and find the best neural network architecture for the intended application.

Neural Architecture Search (NAS) is an emerging area focused on automating the design of neural network architectures. The overarching goal of NAS research is to discover optimal network ...

Researchers at Soongsil University (Korea) published “A Survey on Efficient Convolutional Neural Networks and Hardware Acceleration.” Abstract: “Over the past decade, deep-learning-based ...

A team from Google Research has open-sourced Model Search, an automated machine learning (AutoML) platform for designing deep-learning models. Experimental results show that the system produces models ...

This ‘neural search engine’ wants to reinvent the algorithm The two-year-old startup’s product launches today, and it hopes to “transform” the market. SHARE ...

image: a, Sketch of a metasurface design based on the tandem neural network and iterative algorithm. b, Tandem neural network for predicting the structural parameters of metasurface devices. c ...