A former applied scientist at the lab reportedly announced its closure in a post on WeChat, China’s most popular social ...

Amazon (NASDAQ:AMZN) is closing its Shanghai AI lab after seven years, and it feels like a real sign of the times. The center ...

Accurate and efficient traffic speed prediction is crucial for improving road safety and efficiency. With the emerging deep ...

Overall, this study underscores the importance of merging context-aware knowledge graphs with graph neural networks to improve traffic forecasting.

Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and reasoning models like ChatGPT. The principle: during a training phase, the ...

Researchers from the University of Campinas (Campinas, Brazil) and the Waters Research Center (Budapest, Hungary) introduced ...

Graph Neural Networks represent a crucial advance in the use of deep learning to interpret and extract knowledge from graph-based data. They have opened up new possibilities for tasks such as node ...

By learning the relevant features of clinical images along with the relationships between them, the neural network can ...

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light ...

Using this information, the model can then tell us the probability of a drug-protein interaction that we did not previously ...

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...