Google has taken a significant leap in artificial intelligence development with the introduction of Deep Research, a novel AI tool that allows users to ask Gemini, its chatbot, to conduct web research and generate a detailed report based on its findings.

This innovative feature, currently available only in English to Gemini Advanced subscribers, enables users to request Gemini to research a specific topic on their behalf. The chatbot then creates a "multi-step research plan" that users can either edit or approve. According to Google, Gemini initiates its research by identifying "interesting pieces of information" on the web and subsequently performing related searches, a process it repeats several times.

Once the research is complete, Gemini generates a report of its "key findings" accompanied by links to the websites where it sourced its information. Users can request Gemini to expand on certain areas, tweak its report, or even export the AI-generated research to Google Docs. This functionality bears similarities to the Pages feature offered by Perplexity, an AI search engine that generates custom webpages based on user prompts.

Deep Research is a key component of Google's broader announcement for Gemini 2.0, its new model for an era of "agentic" AI, or AI systems that can perform tasks for users. This development marks a significant step in the evolution of AI, as tech companies increasingly focus on creating AI systems that can autonomously execute tasks, revolutionizing the way we interact with technology.

In addition to Deep Research, Google has also made Gemini Flash 2.0, a faster version of its next-generation chatbot, available to developers. While Deep Research is currently limited to Gemini Advanced subscribers on the web, users can try it by accessing Gemini and switching the model dropdown to "Gemini 1.5 Pro with Deep Research."

The implications of Deep Research are far-reaching, with potential applications in various industries, including education, research, and journalism. As AI companies continue to explore the possibilities of "agentic" AI, we can expect to see significant advancements in the way we approach tasks and interact with technology.

In conclusion, Google's Deep Research AI tool represents a substantial breakthrough in AI development, offering users a powerful tool for web research and paving the way for further innovation in the realm of "agentic" AI. As this technology continues to evolve, we can anticipate significant transformations in the way we live, work, and interact with technology.