A study utilizes large language models to predict reactivity in 14,000 cementitious materials, advancing low-carbon clinker substitutes for sustainable cement.

Researchers at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) have made a breakthrough in ...

The article explores AI’s transformative impact on the investment industry, focusing on its applications, limitations, and ...

Machine unlearning helps AI models forget specific data they were trained on, addressing a growing need for privacy, legal ...

New AI study examines social capabilities of large language models (LLMs), affirming the overall importance of applying human ...

At the heart of Trade 350 App lies a proprietary AI engine that continuously learns and evolves. Rather than relying on ...

The future demands a decentralized, resilient, & context-rich vulnerability intelligence infrastructure.  By Jonathan Sar Shalom ...

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