ProcessIT Innovations

📢 Workshop invitation: Neuromorphic Technology Innovation   Welcome to this limited availability lunch-to-lunch workshop that brings together senior researchers, industry representatives and other key actors to co-create and shape the innovation system of neuromorphic technology in Sweden. Why attend? 🧠 Gain insight into the latest research and innovations in neuromorphic technology. 🧠 Influence the development of a strategy for Swedish industrial success. 🧠 Contribute to a vision that connects multidisciplinary academia and business   The workshop is part of Neuromorphic Innovation Platform Sweden, a Vinnova-funded national pre-study, aimed at analyzing the national and international research and innovation landscape. Our goal is to establish a national innovation platform for neuromorphic technology that fosters industrial leadership, international collaboration, resilience, and sustainability. Partners of the pre-study are KTH Royal Institute of Technology, Luleå University of Technology, Lund University, Uppsala University, ABB, Ericsson, FOI and Saab.   📅 1-2 April 2025 (Registration closes 25 March) 📍 Digital Future Hub, KTH, Stockholm  🔗 https://lnkd.in/dUAvnM-5   Limited availability - register now!

This PhD student builds better Earth Observation tools than the European Space Agency🌍 In managing impacts of #climate change and other global societal challenges, the combination of #artificialintelligence (#AI) and space data is proving to be a game-change. Nosheen Abid, who recently completed her PhD in #MachineLearning at Luleå University of Technology, is using this powerful combination to tackle real-world problems like land management, water scarcity, and preserving marine #ecosystems. Why Machine Learning and Space Data Are a Perfect Match Machine learning helps computers recognize patterns and make predictions without needing step-by-step instructions. When applied to satellite imagery, it can uncover changes in land use, track climate shifts, and measure environmental damage far more quickly and accurately than traditional methods. “AI gives us the ability to process huge amounts of satellite data at a speed and scale that simply wasn’t possible before,” says Nosheen. These insights are already making a difference in disaster management, climate monitoring, and resource planning—areas critical for creating a sustainable future. Research in Action: Tackling Sustainability Challenges Nosheen’s PhD research focuses on addressing environmental challenges using AI-powered analysis of satellite data. For example, her work has: Detected water bodies to combat water scarcity. Monitored wildfires and tracked their impact on ecosystems. Mapped natural resources to improve land management. Enhanced cloud detection for clearer satellite images, critical for accurate Earth surface analysis. Her collaborations with the Swedish Space Data Lab have led to practical tools, including advancements used by the Swedish Forest Agency for land management. “Developing efficient models with open-source satellite data has been a key focus of my work,” she explains. What’s Next? Now that her PhD is complete, Nosheen is looking ahead. She plans to continue her work on AI solutions for climate change and Earth observation, while also exploring how AI can make a difference in other fields like healthcare and automation. “AI has so much potential to transform the way we solve problems, and I’m excited to see where this technology can take us,” she says. The Time to Act Is Now As Nosheen’s research shows, AI and space data are more than just futuristic concepts. By promoting a broader understanding among stakeholders and facilitating collaboration with academic expertise in AI, we can make smarter decisions, tackle environmental challenges, and create a more resilient planet for future generations. #earthobservation #deeplearning #Sentinel-2 Rymdstyrelsen Machine Learning at Lulea University of Technology AI Sweden European Space Agency - ESA Copernicus ECMWF Marcus Liwicki Faisal Shafait György Kovács  

Congratulations to our sister organisation Centre for Distance-spanning Technology (CDT) on your 30th anniversary!💫 You are pioneers and role models in open innovation and essential representatives of Luleå University of Technology. We look forward to the next 30 years of quad-helix innovation👩🎓🌍👷♂️Michael Nilsson Jan-Olov Johansson Björn Backe Cecilia Lundström Sara Sällström Petter Kyösti Annika Svensson Marie Norlin Annica Bray

🌍 Shaping the Future of Sustainable Mining 🌟 Today’s "Sustainable Mining Practices in the Future" workshop in Luleå, Sweden, showcased a powerful blend of innovation, collaboration, and actionable insights aimed at reshaping the mining industry. Hosted by the MINE.IO Project, the event brought together industry leaders, researchers, and technology experts to discuss cutting-edge solutions for a sustainable mining future. 🎤 Key Highlights: Sustainable Exploration: Introducing muon detectors and autonomous underwater vehicles, transforming how we explore critical resources in flooded mines with precision and minimal environmental impact. 🌊 Environmental Management: Leveraging drone-based systems and real-time risk assessments to enhance safety and reduce ecological risks in mining operations. 🌱 Data-Driven Mines: Exploring the Mine.IO Cloud Platform, which unlocks the potential of big data to streamline operations, from resource extraction to waste management. 📊 This workshop demonstrated how collaboration and innovation can address the complex challenges of the mining industry while promoting eco-efficiency and sustainability. 💡 💡 Critical Themes from the Workshop: Digital Transformation in Mining: The integration of digital tools like real-time data analytics, AI-powered predictive systems, and cloud platforms highlights a pivotal shift in modern mining. Environmental Stewardship: Advanced technologies such as drone magnetometers, ground-penetrating radar, and tailings monitoring systems emphasize the importance of managing ecological risks while boosting operational efficiency. Sustainable Exploration: Innovative solutions like underwater robotics for flooded mines and eco-efficient electrification of underground equipment show how technology can drive responsible resource extraction. 📌 Takeaway Message: Mining is not just about extraction; it's about responsibility. The tools and technologies we adopt today—whether it's muography for flooded mines, advanced risk assessments, or predictive maintenance with AI—will shape the industry's future. This shift towards digitalization and environmental stewardship is crucial for creating a more sustainable planet. A huge thank you to the incredible speakers, including experts from Muon Solutions, INESC TEC, AMDC, TU Bergakademie Freiberg, Innov-acts, University of Oulu, and Luleå University of Technology, for sharing their expertise and insights. 🙌 The journey ahead is challenging but filled with immense potential to align industrial growth with ecological preservation. 🌱 #SustainableMining #MiningInnovation #FutureOfMining #DigitalTransformation #EcoEfficiency #MineIOProject

Great energy today at the MINE.IO workshop on future mining at Luleå University of Technology We're thrilled to see so many registered to attend in person and online. Stay tuned for more insights from exciting topics across the value chain!

Join us in Luleå/online for this workshop on the future of mining, hosted by MINE.IO and Luleå tekniska universitet

November newsletter in your inbox (you're a subscriber, right?) to brighten your Tuesday: Workshop invite on sustainable mining with our European partners in MINE.IO, hosted by Luleå University of Technology. Also, catch our interview with Rucha Sawlekar, PhD on the fascinating REDOL EU Project, aiming to transform urban waste management to regional engines for circular production. LTU Robotics and AI Team Creaternity - Sustainable Production at Luleå University of Technology

Join us on 21 November for the mining workshop in Luleå/online We look forward to gathering stakeholders with an interest in the future of mining and digital transformation! Registration below 👇

🗑 Turning your trash into treasure 💎   The average European generates 500 kg of municipal waste. Only 45% is recycled. In the REDOL EU Project, Rucha Sawlekar, PhD at Luleå University of Technology, is developing a demonstrator for circular waste in the urban region of Zaragoza, Spain.   - By leveraging AI and robotics, we aim to create systems that not only handle waste more effectively but also contribute to broader sustainability goals. Part of the project is to create a blueprint for scaling and replicating the model in other geographical areas.   Most cities already have recycling systems so why is this problem occurring?   - The greatest challenges in reducing urban waste include the diversity of materials, the contamination of recyclables, and the scale at which sorting and processing need to occur. Robotics and AI can solve these issues by automating waste sorting with precision and speed. Together, they enable smarter recycling systems that reduce the need for manual labor, minimize errors, and improve the quality of recycled materials, thus reducing the overall waste sent to landfills.   What happens with the material we can "save" from landfills with this technology? - We're working with stakeholders on redesigning key value chains for solid urban waste (packaging, plastics, construction and demolition waste, textiles, and waste electrical and electronic equipment), resulting in the creation of 12 circular products. Luleå University of Technology is working with 34 partners from across Europe in Redol, leveraging its expertise in digital innovation. - We're laying the groundwork for a traceability system that ensures circularity within the value chain. Additionally, our team is driving the digitalization of value chains by determining sensor types and locations, implementing both mobile and static sensors, and establishing standards and communication protocols to enable seamless interaction with the platform.    You have a scientific background in biomedicine and the health sector. How does your previous experience play into this project? - My background in engineering (synthetic biology) focuses on complex systems design, data analysis, and sustainability. The health sector increasingly uses AI to improve diagnostic accuracy and automate repetitive tasks. In urban recycling, this translates to using robotics for automating sorting processes and AI for real-time decision-making. My knowledge of how these technologies can streamline operations in healthcare allows me to contribute to proposing robotic sensors and systems that can support the sorting of urban waste. Additionally, the perspective on improving resource efficiency is critical in urban recycling, where the goal is to maximize the reuse of materials and minimize waste sent to landfills.

To our Swedish-speaking friends: Registration is open for ITF Automation, Föreningen för professionell automations annual meetup. We're looking forward to seeing you there!