SURF Research Bootcamp presenteert een deep dive in onderzoeksvaardigheden in de vorm van vijf praktische workshops. De informatieve workshops zijn bedoeld voor onderzoekers en onderzoeksondersteuners. Bij alle sessies is een laptop vereist.
Recent advancements in AI have reshaped the landscape of automatic speech recognition (ASR). Models like Whisper are praised for their accurate transcriptions. However, questions remain about their performance under atypical conditions. How effective are these systems with dialects, or when capturing speech from children, or non-native speakers? What is their accuracy in environments with multiple speakers or significant background noise? Additionally, handling large volumes of speech data can be challenging in terms of infrastructure. What are the optimal strategies for managing these large-scale transcription tasks in a structured and efficient manner?
Due to developments in AI, the world of automatic speech recognition (ASR) is rapidly changing. New ASR systems seem to provide overwhelmingly accurate transcription of speech. But how do these systems perform under atypical conditions and in large scale applications?
Very proudly I would like to let you know that my journal article on Ricgraph has been published. If you would like to have a presentation or demo, or would like to discuss how Ricgraph can help you for your specific use case, please do not hesitate to contact me.
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Ricgraph: A flexible and extensible graph to explore research in context from various systems
Abstract
Ricgraph, also known as Research in context graph, enables the exploration of researchers, teams, their results, collaborations, skills, projects, and the relations between these items.
Ricgraph can store many types of items into a single graph. These items can be obtained from various systems and from multiple organizations. Ricgraph facilitates reasoning about these items because it infers new relations between items, relations that are not present in any of the separate source systems. Ricgraph is flexible and extensible, and can be adapted to new application areas.
In this article, we illustrate how Ricgraph works by applying it to the application area research information.
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The full reference is: Rik D.T. Janssen (2024). Ricgraph: A flexible and extensible graph to explore research in context from various systems. SoftwareX, 26(101736). https://doi.org/10.1016/j.softx.2024.101736.
About SoftwareX
SoftwareX (https://www.sciencedirect.com/journal/softwarex) is a biannual peer-reviewed open-access scientific journal covering scientific software. It aims to acknowledge the impact of software on today's research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact.
SURF introduceerde op 6 februari jl. SANE in een webinar, met een demonstratie van de online omgeving, een showcase van een succesvol pilotproject en een discussie over hoe SANE jouw onderzoeksproject kan helpen.
Ontdek trends en kom in contact met andere vakgenoten in HPC, AI, Machine Learning, Quantum en Data Science op 7 december in het Koninklijk Instituut voor de Tropen, Amsterdam. De toegang is gratis.
The OpenAIRE Graph is an open access scholarly knowledge graph (SKG) resulting from the aggregation of research entity metadata records (properties and links) from scholarly communication data sources. Funders, organizations, researchers, research communities and publishers can use the OpenAIRE Graph to monitor, discover, and navigate the open science record as a whole.
Artificial Intelligence (AI) has revolutionized the research landscape, offering new methodologies and tools that have the potential to greatly enhance scientific discoveries. However, the adoption of AI in research also brings its own set of challenges, requiring new skills and a deep understanding of responsible AI practices. We need your insights to help us navigate this exciting yet complex field. Help us by filling in our 10-minute survey on responsible AI in research!
Samen met de Universiteit Maastricht en het MUMC organiseert SURF op 24 mei de SURF Research Bootcamp. Het bootcamp wordt georganiseerd voor onderzoekers en onderzoeksondersteunend personeel. Een van de workshops is getiteld: Hoe kan IT je onderzoek en studiemanagement een boost geven: Workshop Ldot, een studiebeheersysteem van de Universiteit Maastricht.
