An AI agent, combined with a model context protocol (MCP), can create more contextual AI systems that can perform a wide ...

Agentic AI is transforming compute architecture with new demands on data flow, hardware, and AI retail systems for faster ...

We present a novel graph Transformer generative adversarial network (GTGAN) to learn effective graph node relations in an end-to-end fashion for challenging graph-constrained architectural layout ...

Researchers from UC San Diego and Meta AI have introduced MonoNeRF. This novel approach enables the learning of generalizable Neural Radiance Fields (NeRF) from monocular videos without the dependence ...

About GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.