Deep neural networks have a huge advantage: They replace “feature engineering”—a difficult and arduous part of the classic machine learning cycle—with an end-to-end process that automatically learns ...

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 architectures ...

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This book explores the interdisciplinary project that brings the long tradition of humanistic inquiry in architecture together with cutting-edge research in artificial intelligence. The main goal of ...

Announced at the annual Qualcomm Snapdragon Tech Summit on Tuesday, the companies said that the collaboration will focus on the development of Vertex AI Neural Architecture Search (NAS), a managed ...

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This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...

Netrin1 is a protein that was first characterized for its axon guidance activities during embryonic development. The netrin family has been shown to play many critical roles in developmental and ...