Excel's grid feels like an endless canvas until you hit the boundaries of row 1,048,576 or column XFD. These limits aren't ...

Abstract: Logical reasoning tasks have recently become a research hotspot in machine reading comprehension communities. This task requires models to answer the question by extracting and utilizing the ...

The Rise of Logical Data Management by Christopher Gardner is a thoroughly researched and timely guide for understanding how organizations can rethink their data architecture at a moment when AI, ...

On Monday, Anthropic announced Opus 4.5, the latest version of its flagship model. It’s the last of Anthropic’s 4.5 series of models to be released, following the launch of Sonnet 4.5 in September and ...

An illustration Anthropic commissioned to mark the release of Opus 4.5. (Anthropic) Hot on the heels of Google's Gemini 3 Pro release, Anthropic has announced an update for its flagship Opus model.

Anthropic is making its most aggressive push yet into the trillion-dollar financial services industry, unveiling a suite of tools that embed its Claude AI assistant directly into Microsoft Excel and ...

New York – October 7, 2025 – AI market intelligence platform AlphaSense announced the acquisition of Carousel, an AI-powered Excel modeling company. This acquisition adds Carousel’s modeling ...

What if you could predict a company’s financial future with precision, make data-driven decisions, and impress stakeholders, all using one tool? Excel, often underestimated as a simple spreadsheet ...

In recent months, the AI industry has started moving toward so-called simulated reasoning models that use a “chain of thought” process to work through tricky problems in multiple logical steps. At the ...

The software development world has been transformed by AI-powered coding assistants such as Cursor and Claude Code, which have changed how engineers write and debug code. These tools can generate ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.