New Paradigm: AI Research Summaries

Investigating Google DeepMind's Gemini 2.0: Next-Gen Multimodal AI and Applications


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This episode analyzes the research paper “Introducing Gemini 2.0: our new AI model for the agentic era” authored by Demis Hassabis and Koray Kavukcuoglu of Google DeepMind, published on December 11, 2024. It examines the advancements presented in Gemini 2.0, focusing on the Gemini 2.0 Flash model, which surpasses its predecessor in performance and speed. The discussion highlights Gemini 2.0's multimodal capabilities, enabling the processing and generation of text, images, videos, and audio, as well as its integration with tools like Google Search and third-party functions.

Additionally, the episode reviews several projects leveraging Gemini 2.0’s features, including Project Astra, Project Mariner, and Jules, illustrating its applications in areas such as universal AI assistants, web browser integration, and developer support. The analysis also addresses the safety and ethical measures implemented by Google DeepMind to ensure responsible AI development. Finally, it outlines the future expansion plans for Gemini 2.0 within Google’s ecosystem, emphasizing its potential to enhance human-AI interactions and drive innovation across various domains.

This podcast is created with the assistance of AI, the producers and editors take every effort to ensure each episode is of the highest quality and accuracy.

For more information on content and research relating to this episode please see: https://blog.google/technology/google-deepmind/google-gemini-ai-update-december-2024/#ceo-message
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New Paradigm: AI Research SummariesBy James Bentley

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