Neural search - the technology of using deep learning to search unstructured data, has developed rapidly in the last two years. With a framework like Jina (https://github.com/jina-ai/jina), searching cross-modal/multi-modal data via deep neural networks becomes extremely straightforward. DALL·E, a powerful image-to-text generator released by OpenAI in 2021 further boosts the popularity of multimodal applications. We now see thousands of astonishing artwork made by DALL·E every day. How all these new technologies will change the way of comprehending multi-/cross modal data? This event is bi-partite. Note: There is no prior knowledge for attending this event. Basic Python skills should be enough to participate in part 2 hands-on session. We are excited to host a hybrid event this time again and there are two types of tickets: on-site and virtual: If you wish to stay up to date with events, become part of our GDSC community (900+ members) by clicking the 'Join us' button at https://gdsc.community.dev/technical-university-of-munich/
Wednesday, June 1, 2022
3:45 PM – 7:30 PM UTC
3:45 PM | Check in |
4:00 PM | DALL·E Flow: when neural search meets generative art |
4:45 PM | Q&A |
5:00 PM | Hands-on Workshop: Create your own artwork |
5:45 PM | Voting, award & closing |
GDSC Lead
GDSC Lead
Core Team Member
Core Team Member
Core Team Member
Core Team Member
Core Team Member
Core Team Member
Core Team Member
TUM
Core Team Member
Core Team Member
Core Team Member