On the supercomputers at the National Supercomputer Center at Linköping University, researchers simulate how atoms in different materials behave. Data from such simulations is made available worldwide via the OPTIMADE standard to train future AI models for materials research. From left: Oskar Andersson, doctoral student, and Rickard Armiento, associate professor. Artificial intelligence (AI) is accelerating the development of new materials. A prerequisite for AI in materials research is large-scale use and exchange of data on materials, which is facilitated by a broad international standard.

How do you develop a product with as little human involvement as possible? Linköping University students built a robot using generative artificial intelligence. From an initial idea with AI-generated images to the final stages of optimisation, generative AI (GAI) supported the students throughout the design process. "I mainly used ChatGPT to program the robot's navigation and control," says Arad Jafari, master's student in technical design. The robot is similar to a radio-controlled car, with a small arm and a grapple claw in the front.

This post contains a list of the AI-related seminars that are scheduled to take place between 7 August and 30 September 2023. All events detailed here are free and open for anyone to attend virtually. Title to be confirmed Speaker: To be confirmed Organised by: I can't believe it's not better (ICBINB) Check the website nearer the time for instructions on how to join. Title to be confirmed Speaker: Jona Lelmi (University of California, Los Angeles) Organised by: University of Minnesota Check the website nearer the time for the Zoom link to join. Title to be confirmed Speaker: To be confirmed Organised by: Linköping University Check the website nearer the time for joining instructions.

Achieving diversity in human vision is one of the major challenges for AI research. In the vast majority of cases, we are better than machines at understanding the world around us. But machines are catching up--slowly but surely. "Within a single day we humans can go from driving a car to free diving, and continue to reading the newspaper and navigating a dense forest--all without a great deal of effort. For a robot, doing the same things would currently be impossible," says Michael Felsberg, professor at Linköping University and one of Sweden's foremost researchers in computer vision and artificial intelligence (AI). That we humans can do all this, and much more, is largely due to vision.

"Legislation and standards must be based on knowledge. This is where we researchers can contribute, providing information about the current forefront of research, and making well-grounded decisions possible. It's important that experts have the opportunity to influence questions of this type," says Fredrik Heintz. The place of artificial intelligence, AI, in our everyday life is increasing and many researchers believe that what we have seen so far is only the beginning. However, AI must be trustworthy in all situations. Linköping University is coordinating TAILOR, a EU project that has drawn up a research-based roadmap intended to guide research funding bodies and decision-makers towards the trustworthy AI of the future.

Artificial Intelligence (AI) is having an increasing presence in our everyday lives, and this is believed to be only the beginning. For this to continue, however, it must be ensured that AI is trustworthy in all scenarios. To assist in this endeavour, Linköping University (LiU) is co-ordinating TAILOR, an EU project that has developed a research-based roadmap intended to guide research funding bodies and decision-makers towards the trustworthy AI of the future. 'TAILOR' is an abbreviation of Foundations of Trustworthy AI – integrating, learning, optimisation, and reasoning.

Image reproduced under a CC BY-NC 4.0 licence. Researchers have designed a machine learning method that can predict the structure of new materials. The researchers, from Cambridge and Linköping Universities, have designed a way to predict the structure of materials given its constitutive elements. The results are reported in the journal Science Advances. The arrangement of atoms in a material determines its properties.

The applicant should have a Ph.D. degree in a relevant area, such as bioinformatics, statistics or computer science. The Ph.D. degree should normally not be obtained more than three years before the application. Previous experience with machine learning and/or artificial intelligence and genomics is meritorious. The applicant should also be experienced in programming (Python/R or equivalent languages) and used to working with big data computing solutions. Strong communicative skills and fluency in written and spoken English are a requirement.

A scholarship programme seeking to nurture talent in technological research in Africa's public universities has been launched. The three-year programme aims to meet the rising demand for expertise in responsible artificial intelligence (AI) and machine learning (ML) in the continent. While machine learning encompasses the study of computer algorithms and use of data, artificial intelligence involves the simulation of human intelligence by machines, usually computer system. The scholarship programme will support selected scholars to undertake PhD research in AI and ML in African universities, and early career academics to strengthen their research and development capacities in the two areas. Murang'a County to give dairy firm to farmers Sacco What Matiang'i didn't reveal on deployment of police officers The initiative, dubbed the A14D Africa scholarship, is implemented by the African Centre for Technology Studies (ACTS) based in Kenya in partnership with Kwame Nkrumah University in Ghana, University of Linkoping, Sweden, University Cheikh Anta Diop de Dakar, Senegal, University of California, Human Sciences Research Council and Institute for Humanities in Africa based in South Africa and the University of Eduardo Mondlane, Mozambique.

EuroHPC – its BullSequana will be used in five EuroHPC supercomputing centres – Sofia Tech Park at Bulgaria ("Discover"), CINECA in Italy ("Da Vinci"), IZUM in Slovenia, ("Vega") LuxProvide in Luxembourg ("MeluXina" which is also #4 in the GREEN500) and in the Minho Advanced Computing Centre in Portugal, reinforcing Atos' position as a European leader in high-performance computing. The Linkoping University's'Berzelius' supercomputer for AI will use Atos' recently announced Atos ThinkAI solution to enable its researchers speed-up processing times on their complex data, empowering them to gain insights faster, using the power of deep learning and analytics. "Topaze" at the CCRT – a new supercomputer at the French CCRT based on the BullSequana XH2000 solution from Atos, is the result of joint R&D by Atos and the CEA's Military Applications Directorate (DAM). It will soon be open to the first users, to start the'Grand Challenges' phase, for very large-scale simulations. "Noctua2" at Paderborn University – the recently announced "Noctua2" supercomputer at the University of Paderborn, based on Atos" BullSequana XH2000, will give the University the modern, highly available and flexible supercomputer infrastructure that is needed for excellent science and research. EuroHPC – its BullSequana will be used in five EuroHPC supercomputing centres – Sofia Tech Park at Bulgaria ("Discover"), CINECA in Italy ("Da Vinci"), IZUM in Slovenia, ("Vega") LuxProvide in Luxembourg ("MeluXina" which is also #4 in the GREEN500) and in the Minho Advanced Computing Centre in Portugal, reinforcing Atos' position as a European leader in high-performance computing. The Linkoping University's'Berzelius' supercomputer for AI will use Atos' recently announced Atos ThinkAI solution to enable its researchers speed-up processing times on their complex data, empowering them to gain insights faster, using the power of deep learning and analytics. "Topaze" at the CCRT – a new supercomputer at the French CCRT based on the BullSequana XH2000 solution from Atos, is the result of joint R&D by Atos and the CEA's Military Applications Directorate (DAM). It will soon be open to the first users, to start the'Grand Challenges' phase, for very large-scale simulations. "Noctua2" at Paderborn University – the recently announced "Noctua2" supercomputer at the University of Paderborn, based on Atos" BullSequana XH2000, will give the University the modern, highly available and flexible supercomputer infrastructure that is needed for excellent science and research.