cKnowledge.io platform helps to organize scientific knowledge in the form of reusable workflow templates with plug&play components, automation actions, unified meta descriptions and common APIs from reproduced research papers. The goal is to automate AI, ML and System research, accelerate innovation and simplify its adoption in the real world. For example, our prototype successfully automated the complex co-design process of Pareto-efficient AI/ML/SW/HW stacks and their deployment in production from the cloud to the edge. The prototype of the cKnowledge.io platform was developed by Grigori Fursin to help organizations and individual users * find innovative technology in the form of portable workflows and reusable artifacts * quickly test novel technology (ML&systems), connect it with legacy systems, and adopt in production * provide a common playground for different workgroups and contractors to co-design and compare efficient AI/ML systems (speed, accuracy, energy, costs) * automate MLPerf.org submissions * keep track of reproducible experiments * bring order to software/hardware/dataset/model chaos with the help of portable workflows * automate tedious R&D tasks * organize internal knowledge * reduce technical debt