Neural architecture search promises to speed up the process of finding neural network architectures that will yield good models for a given dataset. Topics Spotlight: AI-ready data centers ...

Large language models like ChatGPT and Llama-2 are notorious for their extensive memory and computational demands, making them costly to run. Trimming even a small fraction of their size can lead ...

Discover the power of Transfer Learning in this AI Terminologies 101 guide, detailing the methods and techniques used to leverage pre-trained models for a ...

The Beijing Academy of Artificial Intelligence (BAAI) unveiled a newer version of its hyper-scale pre-trained deep learning model, the country's first and the world's largest, at an ongoing AI ...

Training deep learning models with minimal data remains a challenging yet exciting field. By leveraging techniques such as data augmentation, transfer learning, and synthetic data generation, it ...

"Our goal was to create an efficient transfer learning method that leverages pre-trained deep learning models," said Daramola. "This is key to quickly assessing many flood-prone areas after a ...