A new study proposes a graph neural network tuned by a modified zebra optimization algorithm that models relationships among ...

Cartesia Research demonstrates that Hierarchical Networks (H-Nets) learning dynamic tokenization from raw bytes achieve up to ...

A new multimodal AI system called HMTF-Net combines text, conversation context, user interaction graphs, images and metadata ...

GTFormer proposes replacing Transformer self-attention with a hierarchical graph neural network, achieving zero-shot length ...

Available simultaneously on the company’s overseas official website and the Hugging Face AI cloud platform, MatterSeek brings AI-driven materials R&D from “year-scale” cycles to “month-scale” ...

An MIT-led origami construction method connects folded metal modules into curved shells. Prototypes and a library sculpture show how the approach can scale.

Existing methods struggle to accurately simulate complex quantum systems as their size increases due to exponential ...

IntroductionWhat determines the performance gap in humanoids is software more than hardware. While components like motors, ...

When people hear that "a robot with AI moves intelligently," many imagine a single AI directly controlling every single joint ...

Many counties are locally committed to sustainability. They have plans and policies to meet their commitments. But ...

D seismic scans and machine learning have been employed to trace hidden branches through five major faults beneath China’s ...

Author Sarah Stein Lubrano says that communities and relationships shape our political views far more than op-eds and debates.