The Japanese AI research and development (R&D) company Sakana AI has developed an ‘AI Scientist’. The AI Scientist is the “first comprehensive system for fully automatic scientific discovery, enabling Foundation Models such as Large Language Models (LLMs) to perform research independently.”
Another important feature of the pseudo-scientist is that it automates the whole research process—from generating new ideas and writing code to running experiments, analyzing results, and creating a complete scientific paper.
It was developed in collaboration with the University of Oxford and the University of British Columbia.
This article will cover Sakana AI’s AI Scientist in detail, including its features, workflow, and accessibility.
How to Become an AI Scientist? Check Salary, Qualification, and Job Description
Key Features
Here are some of the key features of the AI Scientist developed by Sakana AI. Let’s take a look:
- Automated Research Process
The AI Scientist is designed to execute the entire cycle of scientific research autonomously. This includes:- Idea Generation: The system begins by brainstorming research directions, using LLMs to explore different potential topics.
- Literature Review: It autonomously searches academic literature to determine if the brainstormed ideas have already been explored. It helps in preventing accidental plagiarism.
- Experimentation: Based on a research proposal and a template, the AI Scientist conducts experiments. Then it presents its findings and gathers relevant data for additional examination.
- Paper Writing: The AI then drafts research papers in standard academic formats, including machine learning conference styles. It autonomously finds relevant citations from the literature.
- Peer Review: One of the most innovative features is the inclusion of automated reviewers using LLMs that can critique and evaluate the generated manuscripts with human-like accuracy, offering feedback to refine the research.
- Cost-Effective Paper Production
Each research paper produced by Sakana AI’s model costs approximately $15, making the process highly accessible and cost-efficient. - Open-Source Accessibility
Sakana AI has made the source code for the AI Scientist publicly available on GitHub. This open-source approach allows other researchers and developers to access, modify, and contribute to the AI Scientist’s capabilities. - Enhanced Research Productivity
By automating the research process, the AI Scientist has the potential to increase research productivity exponentially. This is particularly crucial for Japan, where the AI research field has been facing a talent shortage. Sakana AI envisions that the AI Scientist will strengthen Japan’s competitiveness in AI research by enabling researchers to achieve far more with the same resources.
How to Access?
The AI Scientist’s source code is available on GitHub. Anyone interested in using the AI Scientist can access it. Here are the steps to do so:
- The first, obvious step is to visit SakanaAI/AI-Scientist on GitHub.
- Then you need to follow the set of instructions on setting up and using the AI Scientist. The GitHub Repository contains the instructions and examples you need to integrate the model into your existing research workflow.
Top Simplilearn AI Courses and Certifications in 2024 with Fees and Review
Workflow
- Brainstorming Research Ideas- The model starts by generating potential research directions based on existing knowledge and innovative ideas.
- Template Selection and Literature Review- It chooses templates of already existing subjects to delve into and conducts a complete review of academic literature to assure the distinctiveness of suggested research.
- Experimentation and Data Visualization- The system conducts experiments related to the chosen research direction, generating and visualizing data. It also generates data and presents it visually through plots and graphs. These illustrations are part of the final paper.
- Paper Writing- The AI Scientist writes the research paper, sticking to academic requirements and making sure all needed citations are included.
- Peer Review and Refinement- The generated paper undergoes an automated peer review process, where LLMs evaluate and provide feedback, imitating the conventional peer review process very closely.
- Final Paper Submission- Once the peer review is complete and necessary revisions are made, the paper is finalized and ready for submission to academic journals or conferences.
The Bottom Line
The Sakana AI Scientist is an advanced AI system that fully automates the research process, including idea generation, experimentation, and scientific paper writing. Developed by Sakan AI, this tool can greatly boost efficiency, lessen money spent, and tackle the lack of research skills.
Top DeepLearning AI Courses and Certifications for FREE in 2024
