EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...

AI fails 99% of FormulaOne challenges, exposing gaps in deep reasoning. Discover what this means for future AI research and why it matters.

Leaders should rethink learning strategies, embed computational thinking into decision frameworks and redesign leadership ...

Businessolver®, a market leader in benefits technology and AI innovation, today announced major advancements to its agentic AI framework within Sofia®, the company’s proprietary AI engine. This ...

To deploy agentic AI responsibly and effectively in the enterprise, organizations must progress through a three-tier ...

Nowadays, the parallel processing of power-law graphs is one of the biggest challenges in the field of graph computation. The subgraph-centric programming model is a promising approach and has been ...

This study proposes a comprehensive strategy to optimize the operation of real-world gas pipeline networks and support decision-making. The goal is to improve environmental sustainability by ...

Dr. Nate Veldt has been selected to receive an award from the Air Force Office of Scientific Research his work in modeling complex networks using hypergraphs.

AI Powered Knowledge Graph Generator. Contribute to robert-mcdermott/ai-knowledge-graph development by creating an account on GitHub.

Graph-theoretical (GT) representations, conceptually analogous to chemical formulas, offer a powerful and versatile framework for describing the structure of nanomaterials─including complex assemblies ...

We sit down with Musik Hack co-founder Sam Fischmann to hear more about the philosophy behind its superb mastering plugin ...

When one tries to identify the hierarchical composition of a program behavior at different abstraction levels, textual descriptions are not informative and expressive enough. To address this, we ...