Beyond the Stars: Unveiling UFOs through HPC and AI - Easter Edition (2-day Hackathon)
- Datum
- 27.03.2024 - 28.03.2024
- Zeit
- 16:30 - 20:30
- Sprecher
- Lalith Manjunath, Norman Koch, Elias Werner
- Zugehörigkeit
- ScaDS.AI Dresden/Leipzig
- Sprache
- en
- Hauptthema
- Informatik
- Beschreibung
- This Easter, we invite you to join the researchers of ScaDS.AI Dresden/Leipzig in a special Easter hackathon. The goal is to not only hunt for Easter eggs but also search for aliens. You will have the opportunity to work with the HPC machine Alpha Centauri, equipped with NVIDIA A100 GPUs, and learn how to develop your own AI pipeline for UFO identification. The event will provide you with the fundamentals of HPC, and you can use this knowledge to develop your own AI pipeline. The dataset comprises around 50,000 labelled images of objects in the sky that are often mistaken for unidentified flying objects. To create the pipeline, you must consider data loading, pre-processing, model training, inference, and post-processing. This event caters to both beginners seeking foundational knowledge and advanced users looking for in-depth insights and advanced techniques. Additionally, you have the opportunity to visit our Living Lab in Dresden, where you can explore the potential of HPC and AI. The Living Lab offers a variety of tutorials and workshops to learn about AI, as well as the hardware and software used in this hackathon. Furthermore, you have the opportunity to converse with other participants and share your ideas and expertise. Please note that registering until 26.03.2024 is required to take part in this Hackathon. Your participation in this Hackathon is free of charge. The event is designed as a 2-day event. Your participation on both days is required to receive a certificate of attendance.
- Links
Letztmalig verändert: 31.01.2024, 13:22:50
Veranstaltungsort
TUD Andreas-Pfitzmann-Bau (Informatik) (Room: 1020)Nöthnitzer Straße4601069Dresden
- Homepage
- https://navigator.tu-dresden.de/etplan/apb/00
Veranstalter
Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI)Chemnitzer Straße46b, 2. OG01187Dresden
- Telefon
- +49 351 463-40900
- ScaDS.AI
- Homepage
- https://scads.ai
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