Datalogisk Institut, Københavns Universitet - DIKU

Vi vil rigtig gerne dele ud af vores viden🤝 Tak til Caroline Stage Olsen for et spændende møde om vores fælles dagsordener.

Congratulations to the Pioneer Centre for AI on the launch of Nordic AIR! This new partnership marks an important step towards strengthening cooperation in AI research, education, and innovation across the Nordic region. 🤝🇫🇮🇳🇴🇸🇪🇩🇰🇮🇸

🚨 The current LLMs are unreliable, energy-intensive, and ill-suited for the public sector. That was the key message from Thomas Hildebrandt as he kicked off our new series, Researcher Relay. 💡 So how do we build AI models that public institutions can actually trust? Read the full article to learn why Thomas is advocating for more reliable AI—and why it’s time to move beyond probability guessing: 🔗 https://lnkd.in/dg6SQeZH 📅 This March, Thomas will be speaking at the #OffDig conference in Aarhus. We hope to see you there!

⭐️⭐️ AMONG THE TOP 1% ⭐️⭐️ Huge congratulations to Professor Rasmus Pagh who has been named ACM Fellow by ACM, Association for Computing Machinery - a prestigious honor awarded to leading researchers in computing👏 This recognition highlights Rasmus Paghs significant contributions to the theory and practice of randomized algorithms, placing him among the top 1% of ACM members🎉 "I am honoured to receive this recognition. Many of the computer scientists that I admire the most are ACM Fellows. I am grateful for the opportunities I have had over the years to work with so many talented researchers, without whom I would not have been able to go so deeply into the theory and practice of randomized algorithms," says Rasmus Pagh. Read more about the appointment here: https://lnkd.in/dsyMxBuS

Congratulations Melanie Ganz-Benjaminsen on your new grant to research AI in mental health ❤️🩹👏

TALKING TO "SIRI" WILL BE POSSIBLE IN THE MIDDLE OF NOWHERE 🏝️ A new algorithm allows even smaller devices like smartphones to decode speech without needing substantial memory - or internet access! The entirely new and unique code employs a clever strategy: it "forgets" what it doesn’t need in real-time. The algorithm was developed by our Professor Panagiotis Karras, together with speech technology researcher Nassos Katsamanis of the Athena Research Center, and researchers from Aalto University and Kungliga Tekniska högskolan. According to the researchers, the invention opens up a range of possibilities – from practical, security-related, and societal benefits – to its significant energy-saving potential🌍 Read more about the new algorithm here👉 https://lnkd.in/daDc9h_r

🏆 FINALIST: Mød CO-RO CO-RO er den sidste af de tre finalister til Industriens Fonds AI-pris på 200.000 kr., som uddeles ved AI Denmark Summit i dag. CO-RO vil gøre det muligt at spore og nedbringe CO2-emissioner på tværs af virksomhedens værdikæde, hvilket understøtter bæredygtig produktudvikling og rapportering. CO-RO, der bl.a. står bag is-brandet Sun Lolly, har deltaget i et AI Denmark-forløb og fået rådgivning af eksperter fra Datalogisk Institut, Københavns Universitet - DIKU. Konkret er virksomheden gået fra en statisk model til beregning af CO2-aftryk til at have skabt en AI-dreven digital tvilling med henblik på beregning af fødevareprodukters CO2-aftryk i realtid.🤖 Med projektet har CO-RO skabt en platform, der kombinerer avanceret dataanalyse og maskinlæring for at reducere klimaaftrykket og styrke bæredygtigheden i fødevareindustrien.🌱 Hør virksomhedens analytiker William W. fortælle meget mere om projektet i videoen. "Det bør være lige så naturligt at tale om vores CO2-aftryk som om omkostningerne ved vores produkter," siger han. Læs også mere om alle de tre finalister på vores hjemmeside: https://lnkd.in/ggaQMdx8 #AIDenmark #Innovation #Bæredygtighed #GrønOmstilling #AI

Associate Professor Bulat Ibragimov receives the coveted ERC Consolidator Grant🎉🎉🎉 It takes time, energy, and perseverance to achieve this prestigious grant, and we couldn't be happier that Bulat succeeded! The grant gives him a solid push on the path to creating the first AI-guided toxicity atlas for safer and more effective abdominal radiation therapy🏥 Read more about his project: https://lnkd.in/dZeA_zDp #AI #computerscience #MedicalAI European Research Council (ERC)

Ambitious Danish language models are on the way! 🇩🇰💬 The Danish Ministry of Digital Affairs has allocated DKK 30.7 million to support the development of Danish language models through a groundbreaking project: Danish Foundation Models (DFM). This initiative brings together partners from Københavns Universitet - University of Copenhagen, Syddansk Universitet - University of Southern Denmark, Aarhus Universitet, and the Alexandra Institute to advance the field of language models and language technology in Denmark. As part of the DFM consortium, DIKU will play a crucial role in ensuring that the Danish language models meet the highest standards for data integrity, transparency, and safe AI development. "I’m excited that DIKU will contribute to developing Large Language Models that conform with the EU AI Act and GDPR regulation. I see a great deal work ahead in the areas of data curation, model development, and culturally relevant evaluation. It is important for the DFM consortium to focus on developing fully documented open-source models, as this can drive local innovation and development in Denmark", explains Associate Professor Desmond Elliott, co-PI of the project. DFM aims to establish a robust R&D platform for training, fine-tuning, evaluating, and maintaining language models tailored to Danish-language needs. In the long term, this will ensure that Danish investments in AI are directed towards solutions that meet critical and specific needs in Danish society and promote sustainable development, ensuring a fair digital economy. Read more about the DFM project on our website: https://lnkd.in/dWqugf2D

What if we could share sensitive data for the benefit of society? 🤔 Denmark is losing out on innovation due to the inability to share sensitive data across organizations. But what if we could? Associate Professor Peter Scholl, Professor Christian Igel, and Postdoc Hiraku Morita from the Department of Computer Science, Aarhus University and Datalogisk Institut, Københavns Universitet - DIKU have developed groundbreaking encryption technologies that enable sharing and analyzing anonymized data using machine learning. The potential is massive – from developing better medicine to fighting financial crime more effectively 🚀 “We can achieve significant societal improvements if we create technological solutions that ensure anonymity while enabling data sharing,” says project lead Peter Scholl. Read more and sign up for our monthly 'Bits and Bytes' 👇 #DataPrivacy #MachineLearning #DIRECimpact