Nature reports on an AI tool that converts any research paper into an interactive 'agent' able to collaborate and answer complex queries about the work. The approach points toward papers functioning as living interfaces rather than static documents. Details of the tool's architecture and availability are not included in the available excerpt.
PaperLab transforms static AI research PDFs into interactive learning experiences with simulations, diagrams, quizzes, and chat. It uses LLMs to answer questions and explain concepts, making papers more accessible to students and researchers.
PaperLab transforms static AI research PDFs into interactive learning experiences with simulations, diagrams, quizzes, and chat. It uses LLMs to answer questions and explain concepts, making papers more accessible to students and researchers.
Researchers present SciForge, an AI-native workbench that integrates papers, code, datasets, and model outputs into a coherent, auditable research state. It reserves the graphical interface for human judgment while modular agent-accessible services handle search, parsing, model routing, workflow execution, plotting, writing, and presentation generation.
Researchers present SciForge, an AI-native workbench that integrates papers, code, datasets, and model outputs into a coherent, auditable research state. It reserves the graphical interface for human judgment while modular agent-accessible services handle search, parsing, model routing, workflow execution, plotting, writing, and presentation generation.
A Nature paper by Jiacheng Miao, James Zou and co-authors introduces Paper2Agent, an automated framework that converts research papers into AI agents by packaging each paper's code, data and methods into a Model Context Protocol server a chat assistant can call. Case studies on AlphaGenome and 100 computational biology papers show high accuracy and low cost, though roughly a quarter of papers fail conversion. The authors propose journals add an 'agent availability' clause.
A Nature paper by Jiacheng Miao, James Zou and co-authors introduces Paper2Agent, an automated framework that converts research papers into AI agents by packaging each paper's code, data and methods into a Model Context Protocol server a chat assistant can call. Case studies on AlphaGenome and 100 computational biology papers show high accuracy and low cost, though roughly a quarter of papers fail conversion. The authors propose journals add an 'agent availability' clause.
OpenAI published a field report on July 29, 2026, examining how scientists are using AI coding agents to update legacy scientific computing code. The report highlights practical workflows and challenges in modernizing research software.
OpenAI published a field report on July 29, 2026, examining how scientists are using AI coding agents to update legacy scientific computing code. The report highlights practical workflows and challenges in modernizing research software.
Knoku is a tool that provides AI-generated answers to questions, with citations from user-uploaded documents, files, and team knowledge. It uses LLMs to synthesize responses and includes source references for verification. It solves the problem of finding accurate information across scattered internal knowledge bases.
Knoku is a tool that provides AI-generated answers to questions, with citations from user-uploaded documents, files, and team knowledge. It uses LLMs to synthesize responses and includes source references for verification. It solves the problem of finding accurate information across scattered internal knowledge bases.