Tag: Zerospace

  • Industry Whispers (SM): Generative AI & Deep Learning in Production – Lessons Learned

    Analyst: Dr. Doreen Galli

    Held May 24, 2024

    This webinar will feature a panel of engineers that have deployed deep learning and generative AI and their solution is in customers’ hands. You will be able to take away insights on the selection of technology, the process of realizing a solution, pitfalls, nightmares and what the panelists would do differently next time. 

    Can’t attend? Register and submit your question anyway, the answer will be on our YouTube channel.

    Research Code: 2045

    Omer Segal is the Head of AI at Pixellot, overseeing the AI group responsible for researching and developing automated sports production and automatic game highlights generation for Pixellot AI-automated sports camera systems. He has extensive leadership experience as CTO and R&D Director at companies in homeland security, mapping, and sports technology, where he oversaw the development of innovative AI applications. Omer’s project portfolio includes creating land vehicle and aerial mapping and navigation systems, AR applications for archaeological reconstructions, and athletes’ video analysis applications.

    Omer holds a BSc and an MSc in Electrical Engineering from Tel Aviv University, specializing in the application of advanced technologies such as deep learning, computer vision and signal processing.

    With 20 years of experience as a Character Technical Director, JC Leon bring expertise in motion capture and avatar creation for diverse productions. Originally focusing on rigging for films, commercials, and games, I transitioned to real-time motion capture and game engine rigging over the past five years. Integrating AI into motion capture and avatar systems has been a recent passion, alongside a commitment to exploring new technologies and their synergies. From rigging for TV shows like “The Flash” to contributing to 3D Bitmoji development and virtual concert setups, my journey reflects a dedication to innovation and collaboration in the ever-evolving landscape of AI and entertainment technology.

    Ziyuan(Zac) is the Chief Scientist at Birch.AI, where he spearheads the research and development of LLM and ASR models to automate healthcare call-center workflows. He is responsible for selecting and designing ML models, data processing, production system architecture, and deployment. With over 10 years of experience in speech recognition and natural language processing systems, Ziyuan has a proven track record of delivering production-ready systems for tasks such as classification, named entity recognition, and real-time transcription. Ziyuan holds a bachelor’s degree from Tsinghua University Beijing and a master’s degree from the Johns Hopkins University where he worked at the Center for Language and Speech Processing on projects that led to the creation of many open-source NLP and ASR toolkits