Neural architecture search promises to speed up the process of finding neural network architectures that will yield good models for a given dataset.

Neural architecture search is a series of machine learning techniques that can help discover optimal neural networks for a given problem.

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 ...

Qualcomm claims it will be the first System-on-a-Chip (SoC) customer to offer the Google Cloud Vertex AI Neural Architecture Search services.

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 ...

NVIDIA's Han Song team recently open-sourced their latest research achievement— Jet-Nemotron, an efficient language model ...

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

This recent study sheds new light on the intricate neural processes underpinning the learning of avoidant behaviors throughout development.

The main goal of ‘Neural Architecture’ is to understand how to interrogate artificial intelligence—a technological tool—in the field of architectural design, traditionally a practice that ...