Google rolls out Canvas in AI Mode across the US, adding a side panel workspace in Search for building plans, dashboards, and interactive tools.

Explore the leading data orchestration platforms for 2026 with quick comparisons, practical selection tips, and implementation guidance to keep your data pipelines reliable and scalable.

Here’s a quick library to write your GPU-based operators and execute them in your Nvidia, AMD, Intel or whatever, along with my new VisualDML tool to design your operators visually. This is a follow ...

Plotly announces major update to AI-native data analytics platform Plotly Studio, turning data into production-ready ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Abstract: The emerging field of graph learning, which aims to learn reasonable graph structures from data, plays a vital role in Graph Signal Processing (GSP) and finds applications in various data ...

Want to master data fitting in Python? 📊🐍 In this video, we’ll walk you through using the least squares method to fit data and graph it using Python. Perfect for data science and stats enthusiasts! ...

Abstract: Graph Convolutional Networks (GCNs) have been widely studied for attribute graph data learning. In many applications, graph node attributes/features may contain various kinds of noises, such ...

Academic data is distributed across multiple platforms (e.g., ArXiv, OpenReview) and modalities (text, figures, tables, reviews). ResearchArcade unifies these heterogeneous data sources into a single ...