Recently, researchers introduced a new representation learning framework that integrates causal inference with graph neural networks—CauSkelNet, which can be used to model the causal relationships and ...

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, ...

New architecture fuses real-time transactions and analytics in one platform, with breakthrough performance and full fidelity at unprecedented scale ...

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

Language models seem to be more than stochastic parrots. Does this knowledge stop them from making mistakes, or do they need ...

BlackRock stands out in the financial sector for its consistent dividend growth track record. The company has upped its ...

The enteric nervous system (ENS), the largest division of autonomic nervous system, is a tantalizing frontier in neuroscience. With the advent of single-cell transcriptomics, the ENS has been ...

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

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

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 ...