From Text To Tables: Why Structured Data Is AI’s Next $600B Frontier

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Compressed data technique enables pangenomics at scale

Engineers at the University of California have developed a new data structure and compression technique that enables the ...
IEEE

A Novel Layer Pruning Method Based on Graph Structure of Feature Representations for Specific Emitter Identification

Abstract: As an emerging method for physical layer security authentication, Specific Emitter Identification (SEI) plays a pivotal role in wireless communication network security. Leveraging its strong ...
GovInfoSecurity

Poison Pill Defense Protects Proprietary AI Data From Theft

Chinese and Singaporean researchers have developed a defense mechanism that poisons proprietary knowledge graph data, making ...
AlphaGalileo

Adapting to the Stream: An Instance-Attention GNN Method for Irregular Multivariate Time Series Data

DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...
TMCnet

MicroCloud Hologram Inc. Releases Learnable Quantum Spectral Filter Technology for Hybrid Graph Neural Networks

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...
IEEE

Autoencoder-Augmented Graph Neural Networks for Accurate and Scalable Structure Recognition in Analog/Mixed-Signal Schematics

Abstract: The increasing complexity of Analog/Mixed-Signal (AMS) schematics has been posing significant challenges in structure recognition, particularly in the intellectual property (IP) industry, ...