Webpages tagged with «AI»
More and more AI systems rely on using many interconnected computers to work. What will happen if the communication software malfunctions?
Large-scale AI systems need to use many interconnected computers for training and inference. But what will happen to such distributed AI systems if the network becomes slow, unreliable, or suddenly disconnects?
Suitable for DIGHEL, Design, and DIGØK students, this topic explores the use, and effects, of AI in a global knowledge ecosystem around Health Information Systems. It focuses on the many ways people learn about the DHIS2 open source platforms to solve their specific needs and looks at both opportunities and challenges with AI in this process. Several sub-topics are possible.
Interested in making AI faster, more efficient, etc.? Connect to one of Norways leading AI-centers (SURE-AI). Here, we will research how to develop methods to improve AI workload efficiency, data processing pipelines, and system performance for real-world applications.
Interested in AI and video technology? In sports tech used by elite leagues and live broadcasters? If either, read on ...
New DSB research recently accepted for BMVC 2026, suggests that large vision transformers may contain surprisingly long stretches of redundant computation, and that these can be collapsed into much smaller models without starting again from scratch.
What kind of "drummer buddy" would you like to play with in a virtual jam session?
Secure the drive, beyond quantum.
Into Explainable AI (XAI)? Privacy? Smart-home energy? Build HXAI that cuts bills, without exposing data.
Climate changes pose "the biggest health threat facing humanity." Let us help empower decision-makers to address it through AI.
Robot assistance for the elderly will need to solve many different tasks. One of these will be object search within the user's home. As we get older, short-term memory decreases, and remembering where specific objects are becomes difficult. Developing robots that can help with this specific task is an exciting application for robots.
The Vision Transformer (ViT) signifies a new direction in modelling spatial data, representing a shift in focus from local spatial interactions to global contextual relationships. Traditionally, ViTs partition images into square patches to extract tokenized features. But is this necessarily an optimal way of partitioning images for transformers?
Are you intrigued by the fusion of education and cutting-edge technology? Do you envision a future where each student gets the unique educational attention they deserve, powered by the limitless potential of AI? I am on a quest to explore and push the boundaries of adaptive learning systems, and I believe that fresh perspectives and passionate minds are the key to breakthroughs. If you're driven by curiosity, innovation, and a desire to shape the future of education, I urge you to reach out. Let's collaborate, discuss, and embark on a journey where we develop a Master's thesis that not only aligns with your passion but also stands to revolutionize the world of learning technology. The future of education beckons; let's shape it together!
Robots and Society: Ethical, Legal, and Technical Perspectives on Integrating Robots in the Home- and Healthcare Systems and Services (RO-SO)
Keywords: Ethical perspectives, legal perspectives, and standards, technical challenges, and opportunities, (health)care robots, assistive robots, healthcare services, good care
Link to 30th IEEE International Conference on Robot and Human Interactive Communication Conference (RO-MAN) 2021: https://ro-man2021.org/
In joint work, SANT and NLPL/EOSC-Nordic have trained and released the first large-scale transformer-based language model for Norwegian: NorBERT!
What is the best way for a robot to tackle challenging surfaces? Prediction? Sensor data? AI processing? Parallell computing?
SANT will be featured at the next AI Lounge at UiO, Feb. 26.
The SANT project develops resources for Sentiment Analysis for Norwegian Text. While coordinated by the Language Technology Group (LTG) at IFI/UiO, collaborating partners include NRK, Schibsted and Aller Media.