Machine Learning

When Shapley Values ​​Break Down: A Guide to Robust Model Interpretation

When Shapley Values ​​Break Down: A Guide to Robust Model Interpretation

Interpretation in AI is essential for gaining confidence in model predictions and is critical for improving model robustness. Fine-tuning often…
How the Nano Banana got its name

How the Nano Banana got its name

Back in late July, the team was hard at work preparing the first version of the model for launch, teasing…
How to Run Coding Agents Parallelly

How to Run Coding Agents Parallelly

coding agents are becoming increasingly common. Originally, coding agents were able to auto-complete certain lines of code. We then see…
Do You Smell That? Hidden Technical Debt in AI Development

Do You Smell That? Hidden Technical Debt in AI Development

“smell” them at first. In practice, code smells are warning signs that suggest future problems. The code may work today,…
Our Google Life with AI survey: AI and learning, education

Our Google Life with AI survey: AI and learning, education

Outside of the United States, Canada and Europe, the global community agrees on student and teacher attitudes toward AI for…
Why Human-Centered Data Analytics Is More Important Than Ever

Why Human-Centered Data Analytics Is More Important Than Ever

where you are data driven it has become a badge of loyalty. Organizations proudly talk about the dashboards, AI techniques,…
What Is a Knowledge Graph — and Why It Matters

What Is a Knowledge Graph — and Why It Matters

Note 1: This post is part 1 of a three-part series on healthcare, knowledge graphs, and lessons for other industries…
Testing modern AI on Kaggle

Testing modern AI on Kaggle

Today, Kaggle is launching Community Benchmarks, which allows the global AI community to design, run and share their own custom…
Topic Modeling Techniques for 2026: Seeded Modeling, LLM Integration, and Data Summaries

Topic Modeling Techniques for 2026: Seeded Modeling, LLM Integration, and Data Summaries

By: Martin Feldkircher (Vienna School of International Studies), Márton Kardos (Aarhus University, Denmark), and Petr Koráb (Text Mining Stories) 1.…
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