Nettsider med emneord «Deep Learning»

This work will investigate using diffusion models to create superresolution multispectral images.

Some people say the future of language modeling lies in processing text as raw sequences of characters. This future has come closer with the recent introduction of the ByT5 language model. Can we use the task of grammatical error correction to assess its linguistic understanding?

The Nordic Language Processing Laboratory (NLPL) welcomes fifty researchers from Northern Europe (and beyond) for its third Winter School in the Norwegian mountains.

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

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

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.

Squarehead Technology is a world leader in precision acoustic detection. Their technology utilizes an array of microphones and beamforming to provide spatial filtering and awareness.  Loosely speaking, we can provide a superhearing ability by pinpointing the direction of a given sound source, and classify the type of sound we’re listening to.

Simulating the propagation of waves is key from several aspects of acoustic imaging, for example, in the evaluation of various image reconstruction algorithm, or even as an integrated part of the signal processing applied when generating an image from recorded time signals.

Neural network architectures currently used for histopathology were developed for natural images (not medical ones). Some of these architectures have been shown to have inductive biases for natural images, i.e., the neural network's architecture has some information about the natural images. These biases can be very helpful for processing natural images. This project aims to find architectures with an inductive bias for histopathological images. We will do it in an automated way (using neural architecture search) instead of trying to build an architecture manually.

Computing and software are crucial parts of the LHC physics experiments. The NorduGrid Advanced Resource Connector (ARC) middleware increases in popularity due its simplistic design and ease of deployment. This makes it the preferred choice of middleware for new and many existing sites particularly in Europe and Asia. ARC and its Control Tower allow seamless access to heterogeneous resources: Grid, High Performance Computers and Clouds. Moreover, ATLAS@home, based on BOINC and ARC, allow to access opportunistic resources made of personal computers.

The requirements imposed on software during the coming LHC runs will be as stringent as those on the computing resources. The data throughput that will have to be achieved exceeds anything that our community has managed to date. Such performance can only be attained by combining a number of techniques - multi-threading and parallel processing of events - as well as novel algorithms and optimization of existing software.

The importance of multi-variate analysis or "Machine Learning” in High Energy Physics continues to increase, for applications as diverse as reconstruction, physics analysis, data quality monitoring and distributed computing.

In this project, we modify adaptive variants of unbiased quantization schemes tailored to general variational inequality (VI) problems including those with convex-like structures, e.g., convex minimization, saddle-point problems, and games [4–6] with several applications such as auction theory [7], multi-agent and robust reinforcement learning (RL) [8], adversarially robust learning [9], and generative adversarial networks. In particular, our goal is to design novel adaptive and layer-wise compression schemes tailored to tasks beyond supervised learning building on our recent work on SOTA compression schemes for deep learning [1,10].

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.