Adversarial Challenges in AI
Daryn discusses the implications of adversarial examples in AI, particularly in the context of autonomous driving. He highlights the challenges posed by diverse scenarios and rare incidents, emphasizing the need for a broader dataset to prepare for unexpected situations. The conversation also touches on the potential for data consortia among manufacturers to share and enhance their datasets across different geographies.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Training Data for Autonomous Vehicles with Daryn Nakhuda - #57
Related Questions