Research teams can now collaborate more effectively on projects and access the necessary tools, and IT resources with just a few clicks, no coding or configuration required, saving more time for research
Schaffhausen, October 12, 2022 – Rolos announced today that it would bring research to a new level by opening its Machine Intelligence (MI) Platform to all scientific groups. Any researcher from academia or business can now configure, run and collaborate with others on their computational research project through Rolos Platform. Thanks to a user-friendly interface, no specific IT knowledge is required to use the Platform.
Rolos Platform addresses two major problems in research: infrastructure setup and teamwork. First, it provides premade infrastructure ready for research tasks with all the necessary resources out of the box – Graphics Processor Unit (GPU), Central Processing Unit (CPU), and storage. Researchers, therefore, no longer need to spend time on infrastructure setup and resource allocation. On the other hand, the Platform also ensures collaboration on a project – code and data versioning control, group editing, and consistent changes for all project participants.
This significant advance will enable resource automation provisioning, ensuring a collaborative environment for research teams and a consistent environment for the reproducibility of computational project results.
Scientific research nowadays is all about data and computing. Scientists have to spend most of their time and resources on developing and revising algorithms codes, integrations with various tools, format conversions, and setting up an IT infrastructure to get their work done, instead of focusing on the research topic itself. Rolos Platform provides research teams with the tools and the resources they need. They can organize and run their projects in a few clicks and concentrate on research, not IT. As a result, they get the results faster and can easily reproduce them later.
Rolos allows its users to build their computational setups using the available cloud, on-premise servers, and High-Performance Computing (HPC) clusters and save costs on running simulation experiments. Rolos by Constructor can also provide its own resources from the cloud infrastructure in Constructor data centers. And should users find any difficulties with Machine Learning (ML) or Data Science types of tasks, Rolos Team experts will be there to support them.
Rolos Platform is available through two types of deployments:
Rolos Platform is used “to unify data from different scientists, unleash the power of Big Data, and achieve exponential progress in research projects.
During the webinar, you will see an overview of the Platform’s essential features and deep dive into the main current research scenarios.
Date: October 18 at 10 am CEST
Constructor group is a global institution dedicated to promoting science, education, and technology. Headquartered in Schaffhausen, Switzerland, Constructor is a growing ecosystem comprised of education and research as well as commercial technology spin-offs, consulting services, and investment funds.
Thanks to its two English-language campuses – in Bremen, Germany, and in Schaffhausen, Switzerland – Constructor offers interdisciplinary university programs to students from around the globe with flexible online and on-site learning models. With research and entrepreneurial mentality at its core, Constructor education ecosystem is a gateway to the most in-demand careers in technology and sciences.
Rolos by Constructor is part of Constructor group. Rolos provides a machine intelligence platform with consulting and applications for academia and business. The company has strong expertise in machine intelligence and data science in various application areas, including scientific research, business analytics, professional sports, driverless mobility, robotics, and others.
Rolos is a global company headquartered in Switzerland with a presence in the United States, United Kingdom, Netherlands, Germany, Singapore, Spain, Bulgaria, Serbia, and Turkey.
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