Nettsider med emneord «Artificial intelligence»

Publisert 29. okt. 2020 12:49

Oppgaven utføres i samarbeid med Forsvarets forskningsinstitutt (FFI) på Kjeller. 

Publisert 25. okt. 2021 20:46

Oppgaven utføres i samarbeid med Forsvarets forskningsinstitutt (FFI) på Kjeller. 

Publisert 22. sep. 2015 10:18
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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

Bildet kan inneholde: kjøretøy.
Publisert 18. aug. 2021 16:25

Oppgaven utføres i samarbeid med Forsvarets forskningsinstitutt (FFI) på Kjeller. 

Publisert 4. nov. 2010 13:46
Publisert 4. nov. 2010 13:55
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
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 6. des. 2018 10:04

Please read more in the Norwegian project page.

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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 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 4. okt. 2017 14:53
Publisert 2. jan. 2020 09:35
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 2. jan. 2020 09:35
Publisert 6. okt. 2020 12:27
Publisert 17. sep. 2021 21:59
Publisert 6. okt. 2020 12:26
Publisert 19. okt. 2020 09:58