# Scientific Research

BabelDOC is a tool designed to simplify document translation, especially for PDF files. It offers not only a command-line interface but also a Python API and allows for self-deployment. Key advantages include free online translation services for up to 1000 pages, good compatibility, and extensibility. BabelDOC aims to be an embedded translation solution for various programs, suitable for academic research, business document translation, and more.

EXAONE Deep is an advanced reasoning AI model launched by LG AI Research, signifying Korea's competitiveness in the global AI market. With 3.2 billion parameters, it demonstrates outstanding performance, particularly in solving mathematical and scientific problems. The release of this model marks LG's entry into the era of autonomous decision-making in the AI field, and its open-source nature allows more developers to utilize this technology for research and development. EXAONE Deep's lightweight design and on-device model make it suitable for multiple industries, including education, scientific research, and programming.

AI Co-scientist is a multi-agent AI system developed by Google Research to assist scientific research through artificial intelligence techniques. Built on Gemini 2.0, the system simulates the reasoning process of scientific methods, generating new research hypotheses and experimental plans. Through multi-agent collaboration, utilizing mechanisms such as generation, reflection, ranking, and evolution, it continuously optimizes its output. The main advantages of AI Co-scientist include the efficient generation of novel scientific hypotheses, strong interdisciplinary knowledge integration capabilities, and collaborative capabilities with scientists. Currently in the research phase, the system is being validated for its application potential in fields like biomedicine through partnerships with leading global research institutions.

BioEmu, developed by Microsoft, is a deep learning model for simulating the equilibrium ensembles of proteins. This technology uses a generative deep learning approach to efficiently generate protein structure samples, helping researchers better understand the dynamic behavior and structural diversity of proteins. The key advantages of this model are its scalability and efficiency, allowing it to handle complex biomolecular systems. It is suitable for research in areas such as biochemistry, structural biology, and drug design, providing scientists with a powerful tool for exploring the dynamic properties of proteins.

Majorana 1 is a revolutionary quantum chip from Microsoft, featuring a topological core architecture that utilizes topological superconductor materials for more stable and scalable qubits. This technology aims to advance quantum computing from laboratory research to commercial applications, solving complex industrial-grade problems. Its key advantages include high stability, low error rates, and scalability, laying the foundation for future million-qubit quantum computers.

WeatherNext is the latest AI weather forecasting technology developed by Google DeepMind and Google Research. It provides fast and accurate weather predictions through advanced AI models, assisting in the response to extreme weather events, enhancing the reliability of renewable energy, and boosting global food security. This technology is offered free of charge to scientists and forecasters to expedite global research and application in weather forecasting.

SciAgentsDiscovery is a system that automates scientific research using multi-agent systems and large-scale ontological knowledge graphs. By integrating large language models, data retrieval tools, and multi-agent learning systems, it autonomously generates and refines research hypotheses, revealing potential mechanisms, design principles, and unexpected material properties. The system demonstrates its ability to discover interdisciplinary relationships, particularly in the field of bio-inspired materials, surpassing traditional human-driven research methods.

The AI Scientist is a comprehensive system aimed at achieving fully automated open scientific discovery. It enables foundational models, such as Large Language Models (LLMs), to conduct research independently. This system represents a significant advancement of AI in the field of scientific research, assisting human scientists in thinking and coding through automation while reducing reliance on human supervision.

Safe Superintelligence Inc. is a company dedicated to building Safe Superintelligence (SSI), founded by Ilya Sutskever, co-founder and former Chief Scientist of OpenAI. The company prioritizes safety above "commercial pressure," believing SSI to be the most crucial technological issue of our time. Their mission is to solve this challenge through revolutionary engineering and scientific breakthroughs. Safe Superintelligence Inc. aims to rapidly advance intelligence capabilities while ensuring safety always remains ahead of development. Their business model guarantees that safety, security, and progress are not impacted by short-term commercial pressures.

AlphaFold Server is an online service based on the AlphaFold3 model that can generate high-precision predictions of the structures of proteins, DNA, RNA, ligands, ions, etc., and can simulate chemical modifications of proteins and nucleic acids. Developed in collaboration between Google DeepMind and Isomorphic Labs, it is of great significance in the fields of scientific research and biopharmaceuticals. Particularly in non-commercial uses, it provides a powerful tool for predicting and analyzing biomolecular structures.

AlphaFold 3 is a revolutionary AI model that can predict the structures and interactions of life molecules such as proteins, DNA, RNA, and ligands. Compared to existing prediction methods, it achieves at least a 50% improvement in the accuracy of predicting the interactions between proteins and other molecular types, and even doubles the accuracy in some important categories. This model will greatly advance our understanding of the biological world and drug discovery.

Cerelyze is a tool designed for engineers, researchers, and academics to transform technical research papers into usable code. It offers three key functions: 1. **Understanding:** Engage in meaningful conversations with papers to gain a deep comprehension of their content. 2. **Implementation:** Automatically convert methods discussed in papers into Python code or step-by-step instructions, saving time and effort. 3. **Execution:** Quickly grasp the paper's concepts and observe output results by running example cases. Cerelyze also handles equations, tables, and graphical data, aiding engineers in rapidly prototyping algorithms and accelerating innovation.