CIO

Enterprise AI and the semantic core: Building an OS for knowledge

Enterprise AI can’t scale without a semantic core. The future of AI infrastructure will be built on semantics, not syntax.
Analytics Insight

What is Knowledge Representation in AI?

Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...
Decrypt

Baidu's ERNIE 5 AI Model Rises Up the Rankings—A Math Wiz That Beats OpenAI's GPT 5.1

Baidu's ERNIE-5.0-0110 ranks #8 globally on LMArena, becoming the only Chinese model in the top 10 while outperforming GPT-5.1-High.
Frontiers

GTAT-GRN: a graph topology-aware attention method with multi-source feature fusion for gene regulatory network inference

Gene regulatory network (GRN) inference is a central task in systems biology. However, due to the noisy nature of gene expression data and the diversity of regulatory structures, accurate GRN ...
IEEE

Privacy-Enhanced Federated GNN Inference Against Adversarial Example Attack

Abstract: Graph neural networks (GNNs) have become a powerful tool for processing and learning graph data. However, due to the existence of data silos, the privacy of data and the processing result is ...
EurekAlert!

Real-time, large-scale graph neural network inference through BingoCGN

BingoCGN employs cross-partition message quantization to summarize inter-partition message flow, which eliminates the need for irregular off-chip memory access and utilizes a fine-grained structured ...
IEEE

Camouflaged Variational Graph AutoEncoder Against Attribute Inference Attacks for Cross-Domain Recommendation

Abstract: Cross-domain recommendation (CDR) aims to alleviate the data sparsity problem by leveraging the benefits of modeling two domains. However, existing research often focuses on the ...