AI workflows can improve image-based quality control of agricultural crops
The joint project between DTU and FOSS focuses on how explainable AI can be used for quality control of biological materials – for example, grain, which varies greatly in appearance. The result is not only new insights but also a workflow that can help others develop explainable AI models for biological materials.
From healthcare data to banking information: Researchers aim to share sensitive data for societal benefit
18 November 2024
Denmark risks missing out on significant societal advancements because large amounts of sensitive data cannot be shared across organizations. However, a team of computer science researchers has developed an encryption method that enables data to be shared and analyzed anonymously using machine learning.
Danish researcher shapes the future of machine learning at Harvard
23 September 2024
In recent years, the Danish researcher Emil Njor has emerged as a pioneering figure in the field of TinyML. At Harvard University, he has contributed to the development of a new generation of datasets for local machine learning models, capable of processing data in an environmentally sustainable way and without the need for an internet connection.
New management model attracts attention: “DAO is the cooperative movement on steroids”
21 August 2024
Supported by DIREC, the experienced management consultant Henrik Axelsen is exploring how the corporate structure known as DAO (Decentralized Autonomous Organizations) can be implemented in modern businesses. The potential is enormous, but the challenges are equally substantial.
Ministerial visit: Exploring drone swarms and the value of DIREC
25 June 2024
The Minister for Digital Government Marie Bjerre recently visited the HERD project at DIREC in Aalborg to gain insights into the value of digital research, the green transition, and drone swarms. The visit is part of DIREC’s initiative to engage decision-makers in funding advanced digital research and innovation.
AI will be “lane assist” for healthcare professionals in ultrasound scans of pregnant women
23 May 2024
After two years of collaboration, a team of researchers from Danish universities has developed an artificial intelligence capable of evaluating the quality of ultrasound scans of pregnant women, drawing insights from experienced physicians. This innovation aims to enhance the quality of scans not only within Denmark but also in developing nations.
The award goes to…
13 December 2023
PhD Student Axel Christfort and Supervisor Associate Professor Tijs Slaats from the University of Copenhagen won the Process Discovery Contest at the 5th International Conference on Process Mining with their DisCoveR miner.
Swarms of robots are being deployed on the fields – What does it take to expand the use of them?
21 November 2023
Danish farmers are ready to embrace new technologies to support the green transition and ensure smarter production. Multi-robot systems are a crucial part of the solution, but barriers need to be dismantled and teething problems eliminated for seamless interaction between farmers and robots.
Explainable AI will disrupt the grain industry and give farmers confidence
4 July 2023
The agricultural sector is the least digitized sector in the world, and a large part of food quality assurance is still handled manually. The aim of a research project is to strengthen understanding of and trust in AI and image analysis, which can improve quality assurance, food quality and optimize production.
Intelligent technology must help prevent a repeat of the floods of 2011 and 2013
13 April 2023
Denmark must prepare for more extreme weather in the future. By using machine learning and artificial intelligence, researchers will effectively be able to prevent floods.