I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

This course is available on the MSc in Data Science, MSc in Geographic Data Science, MSc in Health Data Science, MSc in Operations Research & Analytics, MSc in Quantitative Methods for Risk Management ...

The enterprise knowledge graph is a knowledge representation system based on graph structures. It integrates multi-source data from both internal and external sources (such as business information, ...

Neo4j ®, the leading graph database and analytics platform, today unveiled Infinigraph: a new distributed graph architecture now available in Neo4j's self-managed offering. Infinigraph enables Neo4j's ...

Embrace city science as a vital partner in architecture, merging creativity with data to build resilient and equitable urban ...

The future of AI applications lies in moving beyond single-shot generation to modular systems composed of intelligent, ...

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional methods of contract analytics are time-consuming and often inexact, thus ...

A growing number of AI processors are being designed around specific workloads rather than standardized benchmarks, ...

Caroline Uhler is an Andrew (1956) and Erna Viterbi Professor of Engineering at MIT; a professor of electrical engineering and computer science in the ...

The credit quality of the high yield bond market has improved substantially since its inception, particularly after the Great ...

By avoiding black box construction, and large numbers of variables, the FTSE Russell financial conditions indicators allow ...

IIM Shillong achieved a historic milestone on September 6, 2025, as it welcomed the inaugural batch of its Integrated Program ...