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:
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Jina AI
Dr.
Dr. Han Xiao is the Founder & CEO of Jina AI, a commercial open source company founded in Berlin in 2020. Since then, Jina AI has raised $38M from top investors including GGV, Cannan, SAP, and is considered one of the most high-valued AI startups globally. In 2018-20, Han led a team on neural information retrieval at Tencent AI, laying down the next-gen search infrastructure. Han served as…
GDSC Munich Lead
GDSC Munich Lead
GDSC Munich Core Team
GDSC Munich Core Team
GDSC Munich Advisor
GDSC Munich Advisor
GDSC Munich Core Team
GDSC Munich Core Team
Technical University of Munich
GDSC Munich Core Member
GDSC Munich Core Member
TUM
GDSC Munich Core Team
GDSC Munich Core Team