Once again, SXSW in Austin was an intense and inspiring week. As an experiment, I set out to use AI during the event as a thinking partner and to help write this blog afterward. More on that in the notes at the end.
What stood out this year is that the conversation about AI has fundamentally changed. In previous years it was mostly about applications, experiments and (promised) possibilities. AI appeared in every talk, but usually as a component, often in passing, because AI was simply trendy. This year was different. AI was back as the direct subject of conversation. Not as hype or a standalone technology, but as systemic technology: a foundation beneath everything.
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?
The SURF Research Cloud development team has added quite a few nice features to the service, recently. Many of them were requested by the institutions that support Research Cloud with a Ontwikkel & Support contract. Here is a short overview of all things new.
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.
De afgelopen maanden zijn verschillende instellingen bezig geweest met SURF om een DRE aanbesteding voor te bereiden. Naar aanleiding daarvan is een interesse peiling geweest om vast te stellen welke instellingen deel zouden willen nemen aan de aanbesteding.
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.
Samen met de Universiteit Maastricht en het MUMC organiseert SURF op 24 mei de SURF Research Bootcamp. De bootcamp wordt georganiseerd voor onderzoekers en onderzoeksondersteunend personeel. Een onderdeel van de bootcamp is een workshop over het Personal Health Train concept. Een mooie kans om dit concept zelf uit te proberen.
