Zadania lokalizacji miejsc wycieków i awarii w sieciach wodociągowych (WDN) wymagają posiadania wiarygodnego modelu WDN.

Large language models (LLMs) have recently become an intensive area of research. Their capabilities in text synthesis, summarization, and translation are well established. However, their application in classical machine learning tasks, such as classification, remains a relatively new and underexplored area.

Dr. Mateusz Nowak, Software Architect at Intel (and our former colleague) will talk about his work at Intel as a "software first" company. He will focus on oneAPI - open source products for high performance computing and AI, with special attention to the Distributed Ranges project, in which he is personally involved. He will also share his thoughts on collaboration between academia and industry, and his personal experience of moving from a small research institute to the corporate world (and why it was less challenging than expected).