InSync Analytics Launches Unified MCP with Granular Estimates, Actuals, and Guidance for AI-Driven Fundamental Workflows

Supercharge your AI Agents and Applications with InSync's Industry-Leading MCP: 160+ Financial Data Series including ...

Data Analytics Engineer Publishes Definitive AWS QuickSight Guide for Enterprise BI Modernization

A real-world AWS QuickSight playbook based on deploying ML models, modern BI pipelines, and protecting $8.3M in ...

Model ML Buys Captide to Give Financial AI Agents Citable Corporate Disclosure Data

Model ML today announced the acquisition of Captide, the leading financial data layer that turns complex global corporate filings and disclosures into LLM-ready documents and data for AI agents.
XDA Developers on MSN

I spent a week using Copilot in Microsoft Excel and now I can't go back

The power couple I didn’t know I needed.
XDA Developers on MSN

I paired Microsoft Excel with Claude, and it beats Copilot at its own game

Copilot who?
IEEE

Model-Data Hybrid Driven Control of Hydraulic Euler–Lagrange Systems

Abstract: As hydraulic Euler–Lagrange systems evolve to encompass high-dimension and intricate structures, the formulation of the mechanical dynamics model becomes impractical, even though the ...

Power Pivot vs PivotTables vs Formulas in Excel : When to Use Each

Power Pivot excels in handling large datasets and performing complex analytics, using data modeling and DAX expressions, but ...

Fundamental emerges from stealth with first major foundation model trained for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

Anthropic’s New Claude Model Will Turn Your Spreadsheet Into a Pitch Deck

Anthropic has announced Claude Opus 4.6, an upgrade to its largest and most advanced AI model. The company says Opus 4.6 is better at coding than previous models and has a much larger context window, ...
IEEE

Data Augmentation in Class-Conditional Diffusion Model for Semi-Supervised Medical Image Segmentation

Abstract: Accurate segmentation of specific organs or diseased tissues in medical images is crucial for precise diagnosis and effective treatment planning. While fully-supervised deep learning methods ...