A research team has developed a unified theoretical framework to better predict the performance of single-atom catalysts ...

AI-powered digital twins enhance efficiency, predict outcomes and enable cost-effective system tuning by simulating ...

The study introduces an AI-driven approach to concrete mix design, optimizing for strength and sustainability while reducing ...

To get the most from artificial intelligence without falling prey to the risks, your company must implement a governance, ...

Usage-based pricing is particularly effective for tiered models, allowing you to cater to a wide range of users while ...

The key to finding the sweet spot between data privacy and business impact is to incorporate data anonymization into AI data ...

Secure firmware in semiconductors is the unsung hero of embedded systems safeguarding financial transactions and personal ...

The proposed system redefines smart livestock farming by eliminating the need for wearable devices and manual observation.

California's flawed VMT modeling framework is undermining its goal of aligning housing with climate goals, and the state ...

The research team utilized energy landscape analysis, a method previously applied to human neuroimaging data, to examine ...

For many reasons, existing open source licenses are not a good fit for AI. Simply put, AI involves more than just software and most open ...

Researchers created an AI model to predict child malnutrition in Kenya six months in advance using clinical and satellite ...