Nettsider med emneord «Artificial intelligence»

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Publisert 27. aug. 2019 11:17

Goal: Build a cross-disciplinary activity to develop, test, and apply new AI (Artificial intelligence) methods based on biological neural processes

Publisert 12. aug. 2019 16:11

Knowledge Graphs have emerged as a paradigm for representing data and semantics, providing new possibilities for a wide variety of data-driven tasks (e.g., data integration, data analytics, search, query answering, entity disambiguation, etc.). Driven by a new generation of Web and enterprise applications, advances in NoSQL graph databases, as well as the need for enhanced learning, the technology behind Knowledge Graphs is now maturing to a level that has become practical in various domains. The aim of this thesis is to study the applicability of Knowledge Graphs in the area of (network) neuroscience for modeling and analyzing how the brain works. More specifically, the thesis will cover design of Knowledge Graphs for modelling physical pathways that build functional networks from which cognitive capacities emerge, generation and storage of data in such Knowledge Graphs, as well as analytics on the data. The aim is to test the suitability of the Knowledge Graphs paradigm in helping to understand how the brain works.

Related relevant background article can be found here.

 

Publisert 12. aug. 2019 14:41

Biases, in general, describe errors in decision making. A number of cognitive biases have been identified in the area of human decision making (see, e.g., here, here, and here). In the context of Artificial Intelligence, algorithmic biases have become more and more relevant for data-driven decision (see, e.g., here).

The aim of this thesis is to categorize, organize, and interrelate various types of  biases (both cognitive and algorithmic) by developing a formal ontology for cognitive and algorithmic biases. Furthermore, this ontology will be used as a foundation for the development of a system for bias management whose aim would be to help identify biases in decision making in a more automated way.

Publisert 9. feb. 2019 14:42
Publisert 6. feb. 2019 11:21
Publisert 6. des. 2018 10:04

Please read more in the Norwegian project page.

Publisert 19. nov. 2018 13:22
Publisert 12. nov. 2018 13:23
Publisert 8. nov. 2018 11:09
Publisert 8. nov. 2017 14:37
Publisert 4. okt. 2017 14:53
Publisert 25. sep. 2017 15:46
Publisert 12. juni 2017 23:12

The SANT project aims to create training data and machine-learned models for Sentiment Analysis for Norwegian Text. While coordinated by the Language Technology Group at IFI/UiO, collaborating partners include NRK, Schibsted and Aller Media.

Publisert 22. mars 2017 14:15
Publisert 2. feb. 2017 10:58

Cardiac related disease is the number one cause of death in the Western world, including Norway. Echocardiography is the most important imaging tool for the cardiologist to assess cardiac function. An echo examination of the heart is real time, cost effective and can be performed without discomfort to the patient and without harmful radiation. These are great advantages compared to other medical imaging modalities.

Publisert 9. des. 2016 10:00
Publisert 22. sep. 2015 10:18
Publisert 5. juni 2013 12:36
Publisert 1. des. 2011 12:35
Publisert 21. nov. 2010 18:49

Our goal is to contribute to the development of ever more intelligent systems. This can be systems that in specific tasks or environments can assist or replace human judgment, or it can be systems that can accomplish tasks we would like to automate.

Publisert 21. nov. 2010 18:48

Signal processing, image analysis, and machine learning for applications in medical imaging, sonar, seismics, and remote sensing.

Publisert 4. nov. 2010 14:24