The study emphasizes that one of the most significant contributions of AI to plant science lies in rapid, image-based disease ...

As the world transitions toward cleaner and more sustainable energy futures, the coexistence of renewable and fossil fuel-based energy sources in hybrid systems has emerged as a pragmatic solution to ...

Human-AI interactions are well understood in terms of trust and companionship. However, the role of attachment and experiences in such relationships is not entirely clear. In a new breakthrough, ...

Researchers in China conceived a new PV forecasting approach that integrates causal convolution, recurrent structures, ...

A new technical paper titled “What Is Next for LLMs? Next-Generation AI Computing Hardware Using Photonic Chips” was ...

One might think that understanding the most mysterious theory in physics shouldn’t be difficult for artificial intelligence ...

As artificial intelligence (AI) continues to revolutionize industries, the health insurance sector is undergoing a pivotal ...

In this paper, we strive to learn jointly optimized user scheduling and hybrid precoding policy with graph neural network (GNN), which has emerged ... learning favorable scheduling policy, we add two ...