Nettsider med emneord «Machine Learning» - Side 3

Publisert 19. okt. 2021 09:35
Publisert 21. okt. 2021 09:53
Publisert 15. okt. 2020 10:29
Publisert 12. okt. 2016 09:51
Bildet kan inneholde: kjøretøy.
Publisert 18. aug. 2021 16:25

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

Publisert 28. mars 2022 13:49

An important priority for LTG in recent years has been to create NLP resources for the Norwegian language, both in terms of modeling and datasets. This page provides an overview of our existing and ongoing projects to support Norwegian NLP.

Publisert 3. okt. 2019 17:09

In the field of robotics, creating grippers that can perform tasks similar to the capabilities of a human hand, is still a challenge yet to be solved. 

Image may contain: Text, Font, Line.
Publisert 3. okt. 2019 21:41

Two new papers from SANT were presented at the NoDaLiDa conference.

Bildet kan inneholde: tegnefilm, illustrasjon.
Publisert 15. okt. 2020 08:03

The Tactile Internet –a communication network that is capable of delivering real-time control, touch, and sensing/actuation information through sufficiently reliable, responsive, and intelligent connectivity – is revolutionizing the understanding of what is possible through wireless communication systems, pushing boundaries of Internet-based applications to remote physical interaction. Such remote interaction capability can be used in surgery, driving, drone-based transportation, immersive education, and adventure, etc. Although the community envisions the bright future of the tactile internet, few works implement the physical platform and specify the blockages in enabling a smooth quality of experience (QoE) during the interaction. In this project, the candidate(s) will work in a team to identify those blockages and propose the novel algorithm in network stack to enable the avatar in the real world.

Publisert 4. nov. 2010 14:12
Publisert 29. sep. 2021 13:34
Publisert 8. nov. 2016 13:15

In this ongoing cross-disciplinary collaboration, researchers in Language Technology (LT) and Political Science (PS) are applying supervised and unsupervised machine learning methods to data from the Norwegian parliament in order to gather knowledge spanning across different dimensions.

Publisert 4. nov. 2010 13:55
Publisert 4. nov. 2010 13:46
Publisert 4. nov. 2010 14:24
Publisert 22. okt. 2021 07:36
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 20. juni 2016 12:10

Obstructive sleep apnea (OSA) is a common but severely under-diagnosed sleep disorder that affects the natural breathing cycle during sleep with the periods of reduced respiration or no airflow at all. It is our long-term goal to increase the percentage of diagnosed OSA cases, reduce the time to diagnosis, and support long term monitoring of patients with user friendly and cost-efficient tools for sleep analysis at home. Core elements are mobile computing platforms (e.g., smartphones), consumer electronics sensors, and machine learning for OSA detection.

Publisert 6. feb. 2019 13:49
Bildet kan inneholde: linje.
Publisert 15. okt. 2020 14:20

How is rhythm processed in the human brain, and how can we model rhythm in machines? These are central research questions at the new RITMO Centre of Excellence.

We aim to take inspiration from rhythm in humans and other biological systems and develop models of rhythmic motion which can be applied to robotic and computing systems.