Train Smarter With Synthetic Data and Domain Adaptation
WEDNESDAY, MAY 26
12:00 PM ET / 9:00 AM PT
Developers: Bring your questions! In this webinar, we'll talk about how to get to production faster without burning up resources. AI.Reverie's new Head of Machine Learning Aayush Prakash geeks out with cofounder and CEO Daeil Kim on data generation, domain adaptation and other quickly advancing approaches. Join for the discussion and live Q&A.
Why synthetic data and domain adaptation are critical productivity tools for narrow AI and projects in robotics, surveillance and retail
What makes the AI.Reverie platform unique and powerful for object detection and classification
How to use these tools to solve common problems like occlusion and multi-camera tracking
Answers to your questions from tech leadership
Head of Machine Learning
Aayush is one of the foremost synthetic data researchers in the field, with cutting edge work on scene graph generation and domain randomization published in ICLR, ICCV, ICRA and CVPR. He has been unlocking the domain gap problem at NVIDIA over the past five years. He previously led development on implicit Java JIT acceleration at IBM.
Co-founder and CEO
Daeil helped lead the movement to incorporate data into every facet of the publishing business as a senior data scientist at The New York Times. He received his Ph.D. in computer science from Brown University, and his research on scalable machine learning algorithms has been published in machine learning conferences including NeurIPS, ICML and AISTATS.