Trending

    Google DeepMind Unveils Advanced AI Research Agents for Enterprise Use

    Section editor: ·Low3 articles covering this·3 news sources·Updated 6 months ago·World
    Share:

    What happened

    Google announced the release of its upgraded AI research agents, Deep Research and Deep Research Max.

    The Context

    • Professional Use: The new agents are designed for professional use in finance, life sciences, and market research.
    • Performance Optimization: Deep Research is optimized for speed, while Deep Research Max is intended for more intensive background tasks.
    • Data Integration: The agents can now integrate with proprietary data sources and generate high-quality visual outputs.

    Takeaway

    Google's advancements in AI research tools signal a strong commitment to enhancing enterprise capabilities and integrating AI into various workflows.

    3 Articles
    DEV Community

    Google Just Upgraded Its AI Research Agent, and It's a Big Deal

    Google DeepMind has announced the launch of two advanced autonomous research agents, Deep Research and Deep Research Max, built on the Gemini 3.1 Pro model. These agents represent a significant evolution in AI-assisted research capabilities, moving b...

    6 months ago
    Read Full Article
    TechSpot

    Google says AI now generates 75% of its new code, up from 25% in 2024

    Google has announced that artificial intelligence (AI) now generates 75% of its new code, a significant increase from 25% in 2024. This shift is attributed to the deployment of its Gemini models, which are utilized by engineers for code generation, r...

    6 months ago
    Read Full Article
    TechCrunch

    Google makes an interesting choice with its new agent-building tool for enterprises

    Google has introduced the Gemini Enterprise Agent Platform, a new tool designed specifically for IT and technical users, which aims to enhance the development of AI agents within enterprises. This platform represents a strategic move by Google to cat...

    6 months ago
    Read Full Article