# AI Research Tools

{% tabs %}
{% tab title="STORM from Stanford" %}

#### STORM: Synthesis of Topic Outlines through Retrieval and Multi-perspective Question Asking

[storm-project.stanford.edu](https://storm-project.stanford.edu/)

> STORM is a LLM system that writes Wikipedia-like articles from scratch based on Internet search.
>
> While the system cannot produce publication-ready articles that often require a significant number of edits, experienced Wikipedia editors have found it helpful in their pre-writing stage.

GitHub Link: <https://github.com/stanford-oval/storm?tab=readme-ov-file>
{% endtab %}

{% tab title="Gemini Deep Research" %}
Gemini Deep Research is an advanced AI feature that automates comprehensive research by analyzing multiple sources and generating detailed reports, now available in Gemini Advanced for users in over 45 languages and 150 countries.

<https://blog.google/products/gemini/google-gemini-deep-research/>
{% endtab %}

{% tab title="Afforai" %}
<https://afforai.com/>

Afforai is an AI-powered reference management tool designed to assist researchers in managing, annotating, and citing papers, as well as conducting literature reviews with reliable AI support.

{% embed url="<https://afforai.com/img/landing_page/main-image.png>" %}
{% endtab %}

{% tab title="AI Scientist" %}

<https://github.com/SakanaAI/AI-Scientist>

> Towards Fully Automated Open-Ended Scientific Discovery

The AI Scientist project is designed to automate the entire scientific research process. It is equipped to handle a variety of tasks, from generating research ideas and reviewing literature to planning, executing experiments, and writing research papers. By leveraging this system, AI can manage iterative experimental workflows, create visual data representations, and produce scientific reports that resemble those presented at typical machine learning conferences.

The AI Scientist is composed of four key stages: brainstorming research ideas, conducting experiments to gather data, drafting research papers using LaTeX, and performing peer reviews through an automated system. This system incorporates cutting-edge large language model (LLM) technology to effectively replicate the scientific activities typically performed by humans.

{% embed url="<https://github.com/SakanaAI/AI-Scientist/raw/main/docs/anim-ai-scientist.gif>" %}

###

{% endtab %}

{% tab title="Emergent Mind" %}
<https://www.emergentmind.com>

Emergent Mind is a website that serves as a computer science research explorer, showcasing trending papers in the field.&#x20;
{% endtab %}

{% tab title="Paper Digest" %}
**Review the most influential work around any topic by area, genre & time.**

<https://www.paperdigest.org/>
{% endtab %}
{% endtabs %}

{% tabs %}
{% tab title="Genei.ai" %}
<https://www.genei.io/>

Automatically summarise background reading and produce blogs, articles, and reports faster.

{% embed url="<https://assets-global.website-files.com/5fbbb0e57743e457bcfe097b/633481cbcadd8d83dffb7ea1_Hero%20Image%201.0.png>" %}
Genei.ai
{% endembed %}

{% endtab %}

{% tab title="Otio.ai" %}
<https://otio.ai>

{% embed url="<https://framerusercontent.com/assets/huhcpuBn1QoPpYkiUwuYMUNMbcI.mp4>" %}

An AI-native workspace, custom built for research.

**1.** Summarise and chat with your documents.&#x20;

**2.** Write and edit in an AI text-editor.
{% endtab %}

{% tab title="Cubby" %}
Cubby is a collaborative research tool that allows users to store files and links, annotate content, and synthesize information with AI assistance.

<https://cubby.nyc/>
{% endtab %}

{% tab title="ResearchRabbit" %}
<https://www.researchrabbit.ai/>

ResearchRabbit is an AI-powered research tool that streamlines literature searches, provides personalized paper recommendations, visualizes networks of papers and authors, and supports collaboration, all while being free for researchers.
{% endtab %}
{% endtabs %}

### <mark style="color:orange;">Science Agents</mark>

{% tabs %}
{% tab title="Google AI co-scientist" %}

### <mark style="color:orange;">Google AI co-scientist</mark>

Google has introduced "AI Co-Scientist," a multi-agent AI system built on Gemini 2.0, designed to collaborate with scientists by generating novel hypotheses and research proposals to accelerate scientific and biomedical discoveries.

<https://research.google/blog/accelerating-scientific-breakthroughs-with-an-ai-co-scientist/>
{% endtab %}
{% endtabs %}


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.aiandbusiness.com/tools-and-tech/ai-research-tools.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.