Agentic AI finds new research ideas

Dear Scholar,

A new type of AI has been released this week: AI Agents. Instead of answering a query in one step, like a generative AI, an agent has a goal, and it will plan, search, and review results to achieve it (see diagram below). This involves many iterations and can easily take 15 minutes.

The SciSpace AI agent does this for academics and searches academic papers, rather than the internet, as the ChatGPT agent does.

You can imagine that this opens far more complex use cases for academics, bordering on systematic literature reviews. I used it to generate new research ideas in this week's tutorial:

Having worked with a large dataset for years, I aim to continue leveraging it to publish new papers. In this tutorial, I described my dataset in detail and asked the SciSpace AI Agent to find research questions that could be answered using this dataset. In about 15 minutes, it suggested 10 papers I could write, including methodology and a target journal. This article also briefly compares it with ChatGPT's agent, which was released recently as well.

Discounts for SciSpace

If you want to test SciSpace's agentic AI, feel free to use any of these discount codes:

20% monthly discount: ILDR20

40% yearly discount: ILDR40

40% add-on credit discount: ILYASA40

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Wishing you a wonderful weekend,

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Ilya Shabanov, The Effortless Academic​

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P.S.: Learn more about how AI can speed up your literature review in my most popular course: Effortless AI Literature Review.

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