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How to incorporate cutting-edge AI research into the development of AI-driven products

Integrating the latest developments in AI research into product development is no easy task. FCAI and Silo AI are paving the way for a new approach to bring cutting-edge research into the development of AI-driven products. In this article, we showcase the approach with several concrete initiatives that have benefited from Silo AI’s and FCAI’s cooperation and joint offering.

As AI is becoming an integral part of everyday products, organizations need to explore new ways to integrate AI as part of their R&D and product development roadmap. Silo AI and the Finnish Center for Artificial Intelligence (FCAI) have been cooperating on a joint service offering to bring cutting-edge AI research into product development. As one of the Academy of Finland’s flagships, FCAI’s mission "Real AI for Real People in the Real World" aligns well with the collaboration with Silo AI.

The aim of the collaboration has been to develop a way for companies to integrate the latest research results into their product development initiatives, and with that to develop products with a competitive advantage. Below, we summarize ways to succeed in bringing cutting-edge AI research into product development and exemplify with three concrete cases and the teams behind them.

For companies developing AI-driven products, working together with Silo AI and FCAI allows keeping the focus on delivering high-quality products, while also involving some of the leading AI researchers and innovations in the field. Accordingly, the new service offering extends Silo AI’s R&D and product development services with FCAI’s expertise. This implies making sure that the latest developments in specific AI technology-related research fields are integrated in the products and solutions that are built. Below we showcase how working with a team of experienced Silo AI ML scientists, ML engineers, data engineers and software developers with FCAI’s world-class researchers look like in practice.

ML for autonomous robot arms in industrial robotics

For a leading robotics company, we worked on an autonomous industrial robot. In order to develop a product that is capable of simulating and operating the movements of a robot arm, the team combines the latest developments in ML with conventional topics in robotics, such as computer animation, numerical optimization, inverse kinematics, motion planning and object tracking. The team involved a computer vision researcher from Aalto University with a team of Silo AI scientists and software developers.

Medical devices with ML to improve the detection of diseases

For two medical device manufacturers, we are working on several use cases, both with structured data and image data. The goal is to replace or improve the existing algorithms with machine learning to improve the detection of various diseases, e.g. eye diseases. We are currently exploring also the implementation of the successful models on specific chipset environments. A regulated operational environment also requires that the AI models and MLOps processes are designed and built keeping the regulatory requirements and explainability in mind. In addition to a team of 4-5 Silo AI scientists and engineers, we have two researchers from FCAI universities working with the client part-time.

Generative neural networks to create synthetic floor plans

For a Nordic architecture agency, we worked on a project to utilize generative methods, especially GANs, in creating synthetic floor plans. During the project, we explored several different architectures for neural networks. One researcher from Aalto University worked part-time on the project alongside Silo AI Principal AI Scientist and Professor Hedvig Kjellström as well as 2-3 other scientists, engineers and software developers from Silo AI.

New projects leveraging the joint service offering start in the fall of 2021. Would you like to take your product development to the next level with Silo AI and FCAI? 

Get in touch with our VP of Business Development Pertti Hannelin to find out how we could help at pertti.hannelin@silo.ai or via LinkedIn.

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Pauliina Alanen
Former Head of Brand
Silo AI

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