AVEVA, a global leader in industrial software, today announced a broad set of product innovations spanning its industrial ...

Lumo leverages advanced machine learning to reduce calibration time, and flag low-confidence response factor predictions.

Learn about the methodology and tools for AI-driven arc fault detection to create real-time classification on MCUs, improving accuracy and reducing false trips, for edge ...

AI search has outgrown simple RAG. Learn how today’s hidden AI retrieval systems decide whether your content gets surfaced or ...

From June 2026, AVEVA Operations Control updates will deliver unified visualisation across the full operational stack, seamlessly connecting HMI, SCADA, and enterprise systems via CONNECT with a ...

Aaron Erickson discusses the evolution of AI workflows, shifting from "vibe checking" to building reliable, multi-agent ...

MIT and IBM released ChartNet, a 1.7-million-sample synthetic training dataset that lets compact open-source vision-language ...

AI skills boom: Mentions of AI and machine learning on resumes have more than tripled since 2023, signaling rapid adoption by job seekers. ATS tech evolves: 2026 ATS platforms use semantic and ...

Abstract: This paper introduces Localized Bipartite Match Graph Attention Q-Learning (BMG-Q), a novel Multi-Agent Reinforcement Learning (MARL) algorithm framework tailored for ride-pooling order ...

Abstract: Graph Neural Networks (GNNs) have proven to be effective in processing and learning from graph-structured data. However, previous works mainly focused on understanding single graph inputs ...

Live visualization for GEPA prompt-optimization runs. Renders the candidate tree as a force-directed graph so you can watch prompts evolve over a pareto frontier in real time. Big nodes are candidates ...

stock-knowledge-graph/ ├── __init__.py ├── extract.py # extract html pages for executives information ├── stock.py # get stock industry and concept information ├── build_csv.py # build csv files that ...