Tag Archive for: Machine Learning & AI

Successful participation in the NTN Innovation Booster

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The NTN Innovation Booster – Databooster (powered by Innosuisse) is a community with an open innovation culture, in which key players around data-based value creation work together to develop innovative ideas and explore new business areas and approaches.

RADIATE successfully applied and will participate in the NTN Innovation Booster to explore the potential of a disruptive AI Innovation project making bikes smart. In Collaboration with NTN and several other stakeholders, RADIATE will build an MVP to validate and showcase the feasibility of the innovation.

We are very excited – more to come, soon!

Big data vector created by GarryKillian - www.freepik.com

Radiate expands capabilities in AI and ML Engineering

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With the advent of AI and ML, product development and with it the possibilities for engineering and design are about to change forever. Unlike traditional data-gathering technologies, AI and ML have the ability to learn from data and transform this knowledge into design guidelines for faster and better product development.

Radiate Engineering & Design is employing several facets of AI and ML to develop and launch new products and tools as well as to improve the existing ones. Together with our Lead AI Engineer, Massimo G. Brivio, we will be working on optimization and AI-enabled surrogate modeling to boost our capacity to deliver innovative and cutting-edge products.

The next step is to develop an AI-guided Design & Optimization Tool both for internal use and customer projects.
More to come, soon!

 

Picture “Big data vector” created by GarryKillian – www.freepik.com

Augmented Reality Manufacturing

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How can new technology such as Augmented Reality facilitate the manual manufacturing of products made of fiber-reinforced composite materials?

In order to find out, Radiate Engineering & Design collaborated together with Rimon Technologies, which are developing and validating Augmented Reality applications. In the project, our engineer, Jan, is using special AR software combined with HoloLens 2 glasses to make the exact alignment and positioning of the materials directly visible on the component.

Check out the video below to see for yourself how this can increase quality and minimize errors using an AR Step-by-Step instruction.