FAYETTEVILLE, GA, UNITED STATES, December 31, 2025 /EINPresswire.com/ — Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

Neural networks have emerged as a transformative tool in wireless communications, offering innovative approaches for signal processing, channel estimation and transceiver design. By leveraging ...

Artificial Intelligence is morphing itself to the requirements of our enterprise applications and our consumer interests at the same time. As the number and type of AI services continue to grow, data ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...

Neural Concept aims to accelerate these timelines by integrating AI directly into CAD and physics-based simulation ...

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...

Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.

Researchers have developed a fiber neural network system that performs intelligent processing of optical communication signals directly in the light domain. This approach integrates optical ...

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...