Turing's 1950 paper didn't just pose the profound question, "Can machines think?". It ignited a quest to build AI technology ...

The positive PPI network dataset was downloaded from Stanford Large Network ... the classify layer with a forward neural network, and (ii) improving efficiency through parallel computing, especially ...

The AI model that shook the world is part of a broad trend to squeeze more out of chips using what's called sparsity.

The interplay between graph analytics and large language models (LLMs) represents a promising frontier for advancing ...

What do you wonder? By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature. By The Learning ...

The testing that produced the paper was conducted while Willsey was a researcher at Stanford University ... their fingers and uses an artificial neural network to interpret what the intentions ...

Abstract: Graph Neural Networks (GNNs) have recently achieved significant success in processing non-Euclidean datasets, such as social and protein-protein interaction networks. However, these datasets ...

Despite a shaky start, unless incoming freshman Bear Bachmeier delivers an exceptional performance in camp or Stanford secures a quarterback from the transfer portal, Brown’s year of experience ...

Adolphi, C. and Sosonkina, M. (2025) Machine Learning and Simulation Techniques for Detecting Buoy Types from LiDAR Data.