Course Practical introduction to natural language processing
Radi by sme vám dali do pozornosti najnovší kurz organizovaný Národným kompetenčným centrom pre HPC: “Praktický úvod do spracovania prirodzeného jazyka”. Témou bude účastníkov sprevádzať skúsený lektor Marek Šuppa who presented NLP (natural language processing) and its potential for businesses already at the beginning of April during an interesting online lecture - you can watch the recording here.
The course will take place online on June 30 from 9:00 a.m. to 4:00 p.m. The number of places is limited to 15, while everyone will have a unique opportunity to work during the exercises with the accelerated module of the new Slovak supercomputer Devana. We therefore want to invite interested parties to register only in case of serious interest.
During this course, participants will focus on an introduction to natural language processing; text representation, word vectors, text classification and neural networks for natural language processing. Together with the lecturer, they will also discuss HuggingFace Transformers and their practical use. The course includes hands-on exercises. A prerequisite for the course is programming experience in the Python programming language. Experience with PyTorch or Tensorflow frameworks is an advantage.
BeeGFS in Practice — Parallel File Systems for HPC, AI and Data-Intensive Workloads 6 Feb - This webinar introduces BeeGFS, a leading parallel file system designed to support demanding HPC, AI, and data-intensive workloads. Experts from ThinkParQ will explain how parallel file systems work, how BeeGFS is architected, and how it is used in practice across academic, research, and industrial environments.
When a production line knows what will happen in 10 minutes 5 Feb - Every disruption on a production line creates stress. Machines stop, people wait, production slows down, and decisions must be made under pressure. In the food industry—especially in the production of filled pasta products, where the process follows a strictly sequential set of technological steps—one unexpected issue at the end of the line can bring the entire production flow to a halt. But what if the production line could warn in advance that a problem will occur in a few minutes? Or help decide, already during a shift, whether it still makes sense to plan packaging later the same day? These were exactly the questions that stood at the beginning of a research collaboration that brought together industrial data, artificial intelligence, and supercomputing power.
Who Owns AI Inside an Organisation? — Operational Responsibility 5 Feb - This webinar focuses on how organisations can define clear operational responsibility and ownership of AI systems in a proportionate and workable way. Drawing on hands-on experience in data protection, AI governance, and compliance, Petra Fernandes will explore governance approaches that work in practice for both SMEs and larger organisations. The session will highlight internal processes that help organisations stay in control of their AI systems over time, without creating unnecessary administrative burden.