Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

The paper comes at a time when most AI start-ups have been focusing on turning AI capabilities in LLMs into agents and other ...

Back in the ancient days of machine learning, before you could use large language models (LLMs) as foundations for tuned models, you essentially had to train every possible machine learning model on ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

Researchers Yue Zhao and Kang Pu from Stony Brook University—in collaboration with Ecosuite's John Gorman and Philip Court, and leveraging historical datasets provided by Ecogy Energy—have devised a ...

Machine learning in drug discovery, along with artificial intelligence, is transforming the pharmaceutical industry by accelerating the development of new treatments. Historically, the process of ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...