CO-LOCATED EVENTS
NextPrevious

Session

A | Computer Vision & AI Stream | Case Study

Monday, December 09

03:30 PM - 04:00 PM

Live in Dearborn, Michigan

Less Details

Generative AI holds immense potential for various applications within the realm of autonomous driving, from enhancing training data to enabling sophisticated simulation and prediction techniques. This session focuses on the innovative application of generative AI in autonomous driving systems, exploring its potential to revolutionize safety, efficiency, and adaptability on the roads of tomorrow.

In this presentation, you will find out how to:

  • Generate synthetic data resembling real-world scenarios, while improving the robustness and generalization capabilities of the models
  • Create highly realistic simulations of diverse driving environments to reduce costs and risks associated with real-world testing
  • Train generative AI models to predict the behavior of other road users to ensure a smoother interaction with the surrounding environment
Presentation

Speaker

Shyamala Prayaga

Senior Software Product Manager, Conversational AI - Deep learning, NVidia

As a Senior Software Product Manager at NVIDIA, I am responsible for building and deploying scalable and customizable AI solutions that leverage large language models and deep learning. With over 20 years of experience in user experience design, conversational AI, and generative AI, I am passionate about creating products that enhance human-computer interaction and enable new possibilities for innovation and creativity.

Company

NVidia

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping the industry.

NextPrevious