As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
SM-GNN prunes multi-view GNNs to pure propagation, cutting training time while outperforming prior MKGC accuracies on two ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
The 2024 Nobel Prize in Chemistry was recently granted to David Baker, Demis Hassabis and John M. Jumper, renowned for their pioneering works in protein design.
AI autoscaling promises a self-driving cloud, but if you don’t secure the model, attackers can game it into burning cash or ...
Transformer on MSNOpinion

Against the METR graph

METR’s benchmark has become a bellwether of AI capability growth, but its design isn’t up to the task, argues Nathan Witkin ...
This is Part 2 of our two-part technical analysis on the Gopher Strike and Sheet Attack campaigns. For details on the Gopher Strike campaign, go to Part 1.IntroductionIn September 2025, Zscaler ...
Graph database expert Marko Budiselić has some thoughts on why it's time to be more data source ecumenical. Coming from the world of graph technology, ...
A single AI-focused data center can consume as much electricity as 100,000 homes. Wood Mackenzie research found that global ...
Christian Klein, CEO of SAP predicts the end of the keyboard as we enter the era of Applied AI and voice commands.
Hosted by the Wu Tsai Neurosciences Institute, professor Dani Bassett’s talk explored how neurological approaches to human behavior can allow us to modify our real-world information systems.