Hello, I’m Evelyn, the marketing manager of AIMMO, an AI data company.
Here’s the news! AIMMO will participate in AUTO.AI (USA) 2023 in San Francisco.
AUTO.AI is a tech summit on AI, machine learning, neural networks, and cognitive computing for highly autonomous driving.
Auto.AI USA will be held June 28–30 at the Hyatt Regency San Francisco Downtown Soma. Auto.AI USA is the leading conference on artificial intelligence for SAE Level 4 and 5 autonomous vehicles. It brings together more than 250 top automotive industry experts and decision-makers in deep learning, neural networks, and perception. Join now and discuss self-supervised and behavioral learning concepts, scalable machine and reinforcement learning approaches, benchmarking perception, and computer vision systems for autonomous driving with your peers from the automotive AI community.
AIMMO booth and the speaking session will be available on Jun 28–30l
All you need to do is get into the exhibition area and walk forward! AIMMO’s global business development group Daniel Bae and Jin Kim, will be waiting for you at Booth #15.
Furthermore, Haebom Lee will hold a speaking session on the “Generative Models in Data-centric AI” from 10:00 a.m. to 10:30 a.m. on June 30 (Fri).
Haebom Lee is a Principal Research Engineer at AIMMO, where he specializes in computer vision, deep learning, and image processing. Alongside his work at AIMMO, he is also pursuing his Ph.D. at Heidelberg University in the Computer Vision and Learning lab, which is led by the renowned Professor Carsten Rother. He received his bachelor’s and master’s degrees in computer science from KAIST in the Republic of Korea.
Prior to joining AIMMO, he gained a wealth of experience through his work as a student researcher at Bosch, KIST Europe, MMCI Saarbrücken, and DFKI Saarbrücken.
In Auto.AI speaking session, we will focus on the use of generative models in Data-centric AI for the domain of autonomous driving. We will discuss the potential of generative models for synthetic data generation and how they can be used to reduce the need for large amounts of labeled data in this field. We will also explore the applications of generative models in tasks such as object detection and semantic segmentation, which are essential for autonomous driving.
Kepoints:
Understanding of generative models in Data-centric AI and their potential applications in the domain of autonomous driving
Knowledge of how generative models can be used for synthetic data generation, reducing the need for large amounts of labeled data in autonomous driving
Insight into the potential impact of generative models on the edge case scenarios
AIMMO is waiting for you at Auto.AI in San Francisco.
Please reserve a meeting with AIMMO.
Written by Evelyn
Translation by Nora
