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 ...

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Researchers affiliated with Uber AI and OpenAI have proposed a new ...

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 ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Qualcomm today at its Snapdragon Summit ...

Deep learning researchers have been dancing around a looming performance wall in recent months, as huge neural networks push the limits in terms of computation and power consumption. But now a company ...

A technical paper titled “HyDe: A Hybrid PCM/FeFET/SRAM Device-search for Optimizing Area and Energy-efficiencies in Analog IMC Platforms” was published by researchers at Yale University. “Today, ...

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 ...