Deep learning models have shown great potential in predicting and engineering functional enzymes and proteins. Does this ...

Alongside text-based large language models (LLMs), including ChatGPT in industrial fields, GNN (Graph Neural Network)-based graph AI models that analyze unstructured data such as financial ...

Forget Russian hackers—today's most dangerous threats wear employee badges and know where the good snacks are.

Here's how AI is reshaping revenue assurance, enabling organizations to move from reactive loss recovery to proactive leakage ...

By leveraging a vision foundation model called Depth Anything V2, the method can accurately segment crops across diverse environments—field, lab, and aerial—reducing both time and cost in agricultural ...

Kayhan Batmanghelich, Assistant Professor of Electrical & Computer Engineering, Hariri Institute Junior Faculty Fellow ...

Decoding cosmic evolution depends on accurately predicting the complex chemical reactions in the harsh environment of space. Traditional methods for ...

This review explores how generative AI, through models like VAEs, GANs, transformers, and diffusion networks is ...

Decoding cosmic evolution depends on accurately predicting the complex chemical reactions in the harsh environment of space.

Graph contrastive learning (GCL) has emerged as a powerful method for dealing with noise and fluctuations in graph-structured data, and can be applied to social networks and knowledge graphs. Although ...