Andreas Thore Forskare Tel +46 10 228 49 02 Email andreas.thore@ri.se Location Västerås Ask me about Posts Ask me about Project STRIDE - Secure and Resilient Infrastructure for Digital Enterprises Building the future of digital infrastructure by understanding the real needs of industry. Project SMYG – Smart image analysis for surface defects on cast components The project creates the conditions for a digital computer vision tool for the next generation of quality control of surface defects on cast components. Project (End-to-End) AI for quality assurance in manufacturing The project will create user-friendly End-to-End AI for automated quality control (QC) of manufactured components that can adapt to different environmental conditions and product designs. Project Efficient heat treatment of cast steel with digital tools Swedish steel foundries need to increase value creation in the heat treatment of castings by shortening process times and increasing flexibility with regard to costs, time, energy consumption and climate footprint. At the same tim… Project Trustworthy AI for Digitalized Industries Innovation with trustworthy applied AI for a digital transformation towards Industry 5.0. Project Smart Forge – AI can help the industry to reach the climate goals How can the manufacturing industry reduce its climate footprint by using artificial intelligence (AI)? The project Smart Forge examines how AI can automate the forging of steel to save resources. With Smart Forge, the forging indu… Project AI for increased process efficiency The project aims to automate the quality inspection process by using AI for increased efficiency and accuracy to respond to the increasing demand and quality requirements from customers. When errors are identified more efficiently… Project Short-Series Production with AI Manual visual inspection in production can today be replaced by analysing images with AI. However, to be able to use AI and machine learning in cases based on image analysis, large amounts of images are needed, which is hard to ob… Project AutoInspect The aim is to develop systems for detecting surface defects, like surface pores, on die-cast and hot-pressed metal components. The developed software is based on machine learning algorithms. The goal is to develop solutions that, … Project Smart Cast Metal – cast metal with sensors Cast metals with imbedded sensors is a new concept that answers some of the metal industry challenges; resource savings, increased added value and participation in the digital revolution. The project delivered entirely new, robust… Story How industries can work smarter – using visualizations The availability of data has increased rapidly in industries – and even more so in the wake of IoT, sensors and the range of external data that can be increasingly integrated into systems. But how can the data be used to improve p… Story How AI is used to accelerate research and innovation AI is accelerating both research and innovation. This is particularly noticeable in the pharmaceutical industry, where new medicines can now be developed from idea to preliminary clinical trials in less than 12 months, compared to… Service Quality inspection and process monitoring using computer vision RISE has expertise in both cameras and computer vision, which can be used in industrial applications for automating quality inspection and process monitoring. Expertise Industrially Scalable AI Industrially scalable AI aims to develop AI solutions that are scalable, robust, and integrated across different industrial sectors, with the goal of moving from highly specialized and "fragile" solutions to more general and adapt… Expertise Traceable materials and products RISE has the expertise to help organizations find solutions for the upcoming needs for product and material traceability. Expertise Applied AI Adapting to the new AI-driven paradigm guarantees sustainability, competitiveness and success of the future industries. AI is already changing the entire business models by offering new ways of automation and knowledge creation. R… Expertise AI for Chemistry and Toxicology AI for Chemistry and Toxicology is based on the competence of several RISE units: Process Chemistry, Toxicology and AI/Digital Systems. WE OFFER: Unique edge in the combination of computer science, toxicology, chemistry and materi… Posts 21 Nov / Behrooz Sangchoolie Safety and Security - what about their interplay? Computer systems, especially those used in safety-critical domains, should be designed, built and assessed not only from the functional point of view, but also with respect to their dependability properties such as safety and secu… 17 Sep / Marvin Damschen Driving Dependability in a Digital Future: The VERDI Workshop Have you ever faced a situation where a digital failure impacted your day? How important is it for you that technology works reliably every time? 08 Jan / Tor Björn Minde Generative AI must run using liquid cooling! Optimal performance of Generative AI necessitates the implementation of liquid cooling! In two preceding blog entries, we delved into the challenges and substantial energy consumption associated with training and utilizing e… 17 Oct / Alexander Wahlberg You are a resource for the future! Have you ever felt uncomfortable when someone refers to you as a 'resource'? Perhaps you've associated it with a feeling of being replaceable or manipulable? Imagine that we could change that negative perception and instead see re… Load More
