A new study proposes a graph neural network tuned by a modified zebra optimization algorithm that models relationships among ...
A new open access study reports a spatio-temporal graph convolutional network that predicted traffic flow with 97.99% ...
GTFormer proposes replacing Transformer self-attention with a hierarchical graph neural network, achieving zero-shot length ...
Decoding failures that jeopardise next generation encryption are now reduced by 63. 7% thanks to a new neural network ...
Do graph neural networks help detect illicit transactions, and do any of these models keep working when fraud patterns change? This project compares five models on the Elliptic Bitcoin dataset with a ...
Can complex quantum data be decoded with both speed *and* precision? The Triage decoder achieves state-of-the-art accuracy ...
B.E. CSE at Osmania University (2014-2018) and M.Tech CS / AI at SSSIHL. - saikrishnavadali05/Academic-CSE-Osmania-SSSIHL ...
Tencent Hyra 2.0 AI research agent launched Monday claiming to train protein models, optimize quantum error-correction codes, and build reusable scientific tools autonomously - while feeding its ...
Park Gi-ho, a professor in the Department of Computer Sciences and Engineering at Sejong University, will co-organize the ...
This arguably represents the next critical milestone that AI-driven scientific research and the field of Relativistic Space ...
Can a free, open-source AI humanizer beat paid tools? We tested a 12B model locally and compared the results against AI ...