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Yossi Matias
Executive

Yossi Matias

Vice President & Head of Google Research at Google Research

LinkedIn@ymatias

Yossi Matias is Vice President and Head of Google Research.

5
Mentions
5
Articles
4
Outlets
Dec 2025 — Oct 2026
Coverage
Positive
Sentiment

Associated Topics

Companies Covered

Coverage Patterns

How media typically covers Yossi Matias

Article Types

  • announcement1

Media Angles

  • technical1

Narrative Framing

  • breakthrough1

Appears In

Sentiment Distribution

Based on 5 scored articles

Positive 100%

Associated AI Models

Gemini 31

Appears Alongside

Dani ValevskiEngineer
2 shared articles
Yaniv LeviathanResearcher
2 shared articles

Articles

Most recent first

Mentioned In

Referenced in coverage

Applying technology to understand and treat disease
Google BlogpositiveOct 13, 2026

“Co-author at Google describing research on using AI to enhance disease understanding and treatment.”

Gemini interactive answers
GooglepositiveOct 8, 2026

“Co-authored Gemini 3 research on generative UI approach enabling dynamic interface generation.”

Google releases Groundsource dataset and integrates flash flood forecasts into Flood Hub
Google BlogpositiveMar 13, 2026

“Yossi Matias announced Groundsource, a new AI-powered methodology using Gemini to transform public reports into historical disaster data for flash flood prediction.”

Generative UI: A Rich, Custom, Visual, Interactive User Experience for Any Prompt
Google Research BlogpositiveMar 10, 2026

“Co-author and leader of research on Generative UI implementation in Gemini and Google Search.”

Google Research 2025: Bolder Breakthroughs, Bigger Impact
Google ResearchannouncementpositiveDec 21, 2025

Google Research delivered pioneering AI breakthroughs in 2025 making generative models more efficient, factual, multilingual, and introduced generative UI, quantum computing advances, and tools for scientific discovery.

“Announced Google Research's 2025 achievements in AI breakthroughs, efficiency improvements, and scientific applications.”

Generative AIFoundation ModelsAI EfficiencyAI Research