Q&A: How mathematics can reveal the depth of deep learning AI

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...

The M&A Blind Spot: Doubled Attack Surface, Fragmented Secrets

Addressing vault sprawl in M&A requires moving beyond reactive tool consolidation toward proactive governance that supports ...

Snowflake builds new intelligence that goes beyond RAG to query and aggregate thousands of documents at once

Snowflake's approach unifies structured and unstructured data analysis within its platform by treating documents as queryable ...

AI tool uncovers genetic blueprint of the brain's largest communication bridge

For the first time, a research team led by the Mark and Mary Stevens Neuroimaging and Informatics Institute (Stevens INI) at the Keck School of Medicine of USC has mapped the genetic architecture of a ...

Massive database maps links between brain development and mental health

A new large-scale, open data resource from the Perelman School of Medicine and collaborators helps researchers link brain ...
IEEE

Graph Contrastive Learning for Fusion of Graph Structure and Attribute Information

Abstract: Graph Contrastive Learning (GCL) plays a crucial role in multimedia applications due to its effectiveness in analyzing graph-structured data. Existing GCL methods focus on maximizing the ...
C&EN

Interpretable Graph Neural Network for Predicting Transient Electronic Structures of Semiconductor Quantum Dots

Department of Materials Science and Engineering, Indian Institute of Technology, Delhi-110016, India Department of Chemistry, Indian Institute of Technology, Delhi-110016, India ...
IEEE

Graph Contrastive Learning and Multigraph Attention Fusion Network for Hyperspectral Image Change Detection

Abstract: In recent years, graph neural networks (GNNs) have been increasingly applied to the hyperspectral image change detection (HSI-CD). However, existing methods propagate features by weighting ...
Morningstar

Hyperscale Data Reduces Debt by $30 Million, Strengthening Capital Structure to Advance AI and Bitcoin Operations

LAS VEGAS, Oct. 9, 2025 /PRNewswire/ -- Hyperscale Data, Inc. (NYSE American: GPUS), a diversified holding company ("Hyperscale Data" or the "Company"), today announced that it has reduced its ...
GitHub

Multimodal Emotion Recognition in Conversations via Graph Structure Learning

Python 3.10.13 PyTorch 1.13.0 torch_geometric 2.5.2 torch-cluster 1.6.1 torch-scatter 2.1.1 torch-sparse 0.6.17 torch-spline-conv 1.2.2 sparsemax 0.1.9 CUDA 11.7 Train RIGSL using the MELD dataset.
C&EN

Predicting Micropollutant Removal in Wastewater Treatment Based on Molecular Structure: Benchmark Data and Models

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator.