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Join us for an engaging seminar with Sebastian Bruch as he explores the future of AI-powered search. As AI applications generate increasingly complex data, the ability to retrieve relevant information—quickly and efficiently—has become mission-critical across industries.

This talk will dive into the power of Approximate Nearest Neighbor (ANN) search and the growing importance of vector databases in modern AI systems. Learn how cutting-edge algorithms and data structures are transforming search efficiency and enabling scalable solutions for everything from recommendation engines to real-time decision-making.

Key Takeaways

• Understand the role of ANN search in AI systems and real-world applications
  
• Discover how vector databases are powering next-generation search and retrieval
  
• Learn about the latest advances in scalable, high-speed algorithms for large-scale vector data
  
• Gain insights into how organizations are using approximate retrieval to stay competitive

Whether you're a data scientist, engineer, researcher, or decision-maker, this seminar will equip you with a sharper understanding of how approximate retrieval is shaping the future of intelligent systems.

Bio

Sebastian Bruch completed his Ph.D. in Computer Science at the University of Maryland, College Park in 2013. His research centers around probabilistic data structures and approximate algorithms for retrieval; efficient and effective algorithms for learnt ranking functions; and stochastic ranking policies and decision making. Sebastian is the author of “Foundations of Vector Retrieval” and the co-author of “Efficient and Effective Tree-based and Neural Learning to Rank.” His published works have appeared in leading Information Systems journals including ACM TOIS, IEEE TKDE, and FnT in IR. He has also contributed to the proceedings of and served on the program committees of premier conferences including NeurIPS, ICLR, SIGIR, WSDM, SIGKDD, and the Web Conference. He is currently a Senior Research Scientist at the Northeastern University in Boston, MA.

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