Now, Barthelmey has taken things one step further by publishing a new paper in the journal Physical Review E that treats ...

A graph machine learning model, TREE, based on the Transformer framework, shows promise in predicting cancer driver genes. TREE efficiently learns node-level representations by sampling subgraphs ...

This is what separates Exographer from your typical physics-based puzzle platformer. Instead of being about swinging on ropes ...

Here’s why I have the reaction I do and how we might get to a place where such claims might be better evaluated.

The researchers validate SySTeC’s effectiveness through extensive performance evaluations on common tensor operations, including symmetric sparse matrix-vector multiplication (SSYMV), ...

To address this issue, a research team from the Xinjiang Institute of Physics and Chemistry of the Chinese Academy of Sciences (CAS), in collaboration with other experts, proposed a graph machine ...

Understanding is often defined as the ability to form mental models of the world, reason about cause and effect, and predict ...

Feature by Walter Sun, Sean Kask, Jonathan von Rueden NORTHAMPTON, MA / ACCESS Newswire / February 12, 2025 / Artificial intelligence (AI) is accelerating at an astonishing pace, quickly moving from ...

SandboxAQ today announced it has expanded its relationship with Deloitte to offer SandboxAQ's AI LQM simulation products and solutions along with Deloitte's services capabilities to organizations ...

Doctoral candidate Youngho Kim, Professor Wonho Choe and Doctoral candidate Jaehong Park of the Department of Nuclear and ...