Category: Machine Learning
CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching
Conditional generative modeling aims to learn a conditional data distribution from samples containing data-condition pairs.…
Private AI Compute: our next step in building private and helpful AI
Introducing Private AI Compute, our new way to bring you helpful AI with the power…
6 new things you can do with AI in Google Photos
Learn more about new AI tools in Google Photos, including Nano Banana image-generation and more.
The Other 80%: What Productivity Really Means
We’ve been bombarded with claims about how much generative AI improves software developer productivity: It…
Expert-Level Feature Engineering: Advanced Techniques for High-Stakes Models
Building machine learning models in high-stakes contexts like finance, healthcare, and critical infrastructure often demands…
Our latest commitments in AI and learning
We’re bringing together experts, students, educators and more at our Google AI for Learning Forum.
Understanding the nuances of human-like intelligence
Associate Professor Phillip Isola studies the ways in which intelligent machines “think,” in an effort…
Fixing Enterprise Apps with AI: The T+n Problem
We’ve been watching enterprises struggle with the same customer service paradox for years: They have…
Everything You Need to Know About LLM Evaluation Metrics
When large language models first came out, most of us were just thinking about what…