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Google is accelerating AI development by integrating strategic teams into its DeepMind division. The goal is to improve efficiency, create more accessible tools and make AI research usable for developers quickly.

Key points:

• Strategic integration: Unification of AI Studio and Gemini APIs under DeepMind.
• Ambitious goals: Push for innovation and greater openness to the developer community.
• Focus on Gemini: Prioritization of AI chatbot scalability for consumer users in 2025.
• Unified approach: Collaboration between research and development to accelerate progress.

Google has decided to further redefine the structure of its AI-dedicated teams, consolidating them under the umbrella of Google DeepMind, the advanced AI research division created in 2023 by the merger of DeepMind and Google Brain. This move, announced recently, is a significant step toward reducing the time between scientific breakthroughs and practical implementation. According to Logan Kilpatrick, head of the AI Studio developer platform, this reorganization will enhance internal synergy and accelerate the development of tools and services. AI Studio and the team behind the API for Gemini models will be integrated into DeepMind, in line with the vision of greater efficiency.

The change, which is part of a broader strategy launched in recent months, also includes the transfer of key modeling and research teams. The decision to amalgamate resources under one entity reflects Google’s desire to strengthen its position in the AI market. Sundar Pichai, CEO of Google, reiterated the urgency of this transformation, stressing the importance of accelerating the pace of innovation to compete effectively in the industry.

Jaana Dogan, an engineer on one of the teams involved, commented that this transition will allow DeepMind to make its innovations more accessible by expanding its offerings of open source tools and advanced APIs. Among the flagship projects is Gemini, a chatbot based on next-generation language models, which is at the heart of Google’s ambitions for 2025. The company plans to make it a central element for consumer users, aiming for greater scalability and increasingly sophisticated functionality.

This restructuring highlights Google’s willingness to act decisively at a crucial time in the evolution of AI, consolidating resources and accelerating development.