Coordinating complicated interactive systems, whether it's the different modes of transportation in a city or the various ...

“We envision that the general framework of scalable engineering, deep characterization, and utilizing machine learning to predict a larger universe of proteins would be extensible to many ...

Yu, now an associate professor at the University of California, San Diego (UCSD), is a leader in a field known as “physics-guided deep learning,” having spent ... for building and training these ...

Palantir’s Maven Smart System (MSS Nato) uses generative AI, machine learning and large language models to provide “commanders with a secure, common operational capability” and will be used ...

In a rapidly evolving digital landscape, machine learning is at the ... to most health professionals will make early detection possible and planning for treatment faster. Financial institutions use ...

To address this challenge, FD-YOLO11, which is a YOLO11-based deep learning model with enhanced feature extraction and fusion mechanisms for attaining improved detection performance, is proposed in ...