Researchers in South Korea have explored how generative AI models can forecast trends and improve design efficiency.

The resulting benefit can vary accordingly. “A small simple branch predictor might speed up a processor by 15%, whereas a ...

Keep seeing three-week-old posts in your LinkedIn feed? You're not alone.

Northwestern Engineering faculty and students participated in the annual forum for advances in theory, empirics, and ...

AI-assisted design methods now allow for automated optimization, drastically shortening development cycles while boosting ...

AI-based anomaly detection helps engineers identify potential problems early, to improve process efficiency, says Rachel ...

Generative artificial intelligence (AI) has the potential to revolutionize fashion design. By recognizing patterns in data ...

Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting ...

Machine learning accelerates catalyst discovery by combining theory, AI, and experiments to identify efficient materials for ...

Integrating artificial intelligence (AI) tools like Vention’s MachineMotion AI into connected devices helps with monitoring, control and interoperability in smart ...

The way chips are being designed today is almost unrecognizable compared to just a few years ago. As IoT and vision ...

In this comprehensive Gigabyte WaterForce Review, we dive deep into the features and performance of this cutting-edge liquid ...