Practical deep learning
General introduction Deep learning is a subset of machine learning that focuses on training artificial neural networks with multiple layers to recognize patterns and to simulate the complex decision-making power […]
AI for Science Bootcamp
The AI for Science Bootcamp provides a step-by-step overview of the fundamentals of deep neural networks related to scientific computing and physical systems defined by differential equations.
AI and Global Development Lab at LiU Gains Access to Karolina
Researchers led by Adel Daoud from AI and Global Development Lab were awarded Benchmark Access to EuroHPC JU supercomputer Karolina hosted by IT4Innovations National Supercomputing Center in Czech Republic. The […]
Advanced Deep Learning with Transformers
Overview In recent years, Graph Neural Networks (GNNs) and Transformers have led to numerous breakthrough achievements in a variety of fields such as Natural Language Processing (NLP), chemistry, and physics. […]
Creative AI Webinar
About the event The last year has seen an explosion in “creative Al”, in particular, the performance of text generation models (such as chatGPT) and image generation models (such as […]
Technical workshop at the Analytic Imaging Diagnostics Arena (AIDA)
ENCCS gave a workshop at AIDA on October 26, 2022 in two short sessions covering “Hyperparameter optimization using Optuna” and “Distributed PyTorch training: single and multiple node training”. A fundamental […]
Preparing Large Scale Analysis of Patent Data
Patent data can be used as a valuable source of chemical exposure risk [1] and together with large scale Natural Language Processing (NLP) can be used to accurately identify patents […]
National Library of Sweden Accesses MeluXina!
The Natioal Library of Sweden (Kungliga Bibliotek, KB) accesses MeluXina supercomputer through the EuroHPC JU Regular Call with the help of ENCCS. It’s the second time KB gains access to […]
Upscaling A.I. Workflows
In this workshop, we overview the basics of Docker and Singularity. (Working knowledge of Singularity as given in the workshop (https://www.uppmax.uu.se/support/courses-and-workshops/singularity-workshop-announcement) is desirable.) Distributed training using TensorFlow and Horovod frameworks on a supercomputer will be covered. Moreover, it will be shown how to use Singularity containers in conjunction with TensorFlow and Horovod to upscale an AI app.
A.I. February 2022 at ENCCS
Has the thought passed your mind to get acquainted with A.I., machine learning or deep learning? Or maybe you have been using these in your software solutions for a while […]