RALEIGH, NC -- The Open Source Initiative (OSI) released Open Source AI Definition (OSAID) 1.0 on Oct. 28, 2024, at the All Things Open conference. Creating it wasn't easy. It took the OSI almost two ...

AI models without strong business context risk costly errors, but vendor approaches to “context” vary. Enterprises must take ...

HONG KONG -- To paraphrase the late John F. Kennedy, we choose to define open-source AI not because it is easy, but because it is hard; because that goal will serve to organize and measure the best of ...

The highly respected Open Source Initiative, which has a reputation for being one of the most prominent stewards of open-source software, has finally come up with an official definition on what makes ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Andy Brinkmeyer shares how engineering ...

Back in March, Hawaii state Sen. Chris Lee introduced legislation urging the U.S. Congress to consider the benefits and risks of artificial intelligence technologies. But he didn’t write it.

Due to its rapid rise in everyday life, artificial intelligence (AI) technology has become increasingly relevant to social scientists. A team led by Penn State researchers reviewed a variety of social ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I tackle a quite vexing problem facing the ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

The Open Source AI Definition will provide a reference for determining whether an AI system is truly open source AI, OSI said. The Open Source Initiative (OSI) on Monday released the result of a ...

Electricity is emerging as the critical strategic resource of the AI era, creating a global competition among governments, hyperscalers, and infrastructure owners for scarce AI-grade power capacity.

In the AI era, original thinking gets absorbed into the knowledge base fast — but attribution often doesn't come along for ...