BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

Now, as people analytics and AI lead at a $150 billion financial technology platform, he’s built a solution that doesn’t just ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

This review examines AI and ML's role in transforming thermoelectric materials design, focusing on defect engineering and ...

For enterprise adoption to achieve its full potential, particularly in mission and safety-critical applications, several ...

Graph Neural Networks are on the path to becoming more mainstream, with exciting opportunities for the maturation of essential operations across message passing such as scatters, gathers, segmented ...

Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like ...

Yuan Lu MS ’25 talks about research, neural networks, and the importance of finding your passion.

Researchers at Tongji University and the Shanghai AI Lab show that graph-based neural networks can uncover hidden money-laundering rings and ...

The number of scientific papers that rely on AI has quadrupled, and the scope of problems AI can tackle is expanding by the ...

While neural networks (also called “perceptrons”) have been around since the 1940s, it is only in the last several decades where they have become a major part of artificial intelligence.